Archive

Abstract:

In this paper a three phase dc to ac converter with embedded chopper(echopper) is proposed for bidirectional interfacing applications, aimed at constant and stable irregular DC-bus, which can vary the battery voltage in wide range of applications. Compare to conventional dual stage conversion of DC to AC e-chopper requires less power for processing and consumes less power losses by using modest carrier built- pulse width modulation (CB-PWM) scheme through proposed zero structure addition. Implementation of proposed PWM scheme needs a small amount of power for processing of e-chopper, hence maximum control is managed through DC-AC conversion. So the overall transformation efficiency of DC-AC arrangement has been improved via e-chopper, by minimizing the power processing thus implies overall efficiency of the system. This paper analyzes the physical characteristics, ideologies and operation of the proposed Bidirectional inverter as well as its Pulse Width Modulation scheme in detail.

Keywords:

Embedded chopper(e-chopper),carrier built -pulse width modulation (CB-PWM),Bidirectional DC-DC converter (BDC),

Refference:

I. Abdullah Abdulslam, Baker Mohammad, Mohammed IsmailPatrick P.
Mercier and Yehea Ismail, “A 93% Peak Efficiency Fully-Integrated
Multilevel Multistate Hybrid DC–DC Converter, ,” IEEE transactions on
circuits and systems, vol. 65, no.8, pp. 2617-2631, August 2018.

II. B. Mangu, S. Akshatha, D. Suryanarayana, and B. G. Fernandes, “Grid-
Connected PV-Wind-Battery-Based Multi-Input Transformer-Coupled
Bidirectional DC-DC Converter for Household Applications, ,” IEEE
transactions on emerging and selected topics in Power Electronics, vol. 28,
no.2, pp. 1086-1096, September 2016.
III. Boris Axelrod, Yefim Berkovich, and Adrian Ioinovici, “Switched-
Capacitor/Switched-Inductor Structures for Getting Transformer less Hybrid
DC–DC PWM Converters,” IEEE transactions on circuits and systems, vol.
55, no.2, pp. 687-697, March 2008.
IV. Chuang Liu, Bin Gu, Jih-Sheng Lai, Mingyan Wang, YanchaoJi,
GuoweiCai, Zheng Zhao Chien-Liang Chen, Cong Zheng, and Pengwei Sun,
“High-Efficiency Hybrid Full-Bridge–Half-Bridge Converter With Shared
ZVS Lagging Leg and Dual Outputs in Series, ,” IEEE transactions on Power
Electronics, vol. 28, no.2, pp. 849-862, February 2013.
V. Dylan C. Erb, and Alireza Khaligh, “A Bidirectional High-Power-Quality
Grid Interface With a Novel Bidirectional Noninverted Buck–Boost
Converter for PHEVs,” IEEE transactions on Vehicular Technology, vol. 61,
no. 5, pp. 2018–2033, June 2012.
VI. Fanghua Zhang, and Yangguang Yan, “Novel Forward–Flyback Hybrid
Bidirectional DC–DC Converter,” IEEE transactions on Industrial
Electronics, vol. 56, no. 5, pp. 1578-1784, May 2009.
VII. Kwang-Min Yoo and Jun-Young Lee, “A 10-kW Two-Stage
Isolated/Bidirectional DC/DC Converter With Hybrid-Switching Technique,”
IEEE transactions on Industrial Electronics, vol. 60, no. 6, pp. 482–489, June
2013.
VIII. Li Jun, K. W. E. Cheng,, D. Sutanto, and DeHongXu, “A Multimodule
Hybrid Converter for High-Temperature Superconducting Magnetic Energy
Storage Systems (HT-SMES) ,” IEEE transactions on Power Delivery, vol.
20, no.1, pp. 475-481, January 2005.
IX. NEETHU, J., et al. “A PROSPECTIVE STUDY ON RESPIRATORY
DISTRESS SYNDROME AMONG NEONATES IN NICU &
ASSESSMENT OF KNOWLEDGE, ATTITUDE & PRACTICE ON
NEONATAL CARE AMONG POSTNATAL MOTHERS–A PILOT
STUDY.” International Journal 5.1 (2017): 1.
X. Omar Hegazy, Joeri Van Mierlo and Philippe Lataire, “Analysis, Modeling,
and Implementation of a Multi-device Interleaved DC/DC Converter for Fuel
Cell Hybrid Electric Vehicles, ,” IEEE transactions on Power Electronics,
vol. 27, no.11, pp. 4445-4459, November 2012.

XI. S. Y. (Ron) Hui, Henry Shu-Hung Chung, and Siu-Chung Yip, “A
Bidirectional AC–DC Power Converter with Power Factor Correction ,”
IEEE transactions on Power Electronics, vol. 15, no.5, pp. 942-950,
September 2000.
XII. Stanislaw Jalbrzykowski, Antoni Bogdan, and Tadeusz Citko, “A Dual Full-
Bridge Resonant Class-E Bidirectional DC–DC Converter,” IEEE
transactions on Industrial Electronics, vol. 58, no. 9, pp. 482–489, September
2011.
XIII. Venkata R. Vakacharla, M. Raghuram and Santosh Kumar Singh, “Hybrid
Switched Inductor Impedance Source Converter—A Decoupled Approach ,”
IEEE transactions on Power Electronics, vol. 31, no.11, pp. 4445-4459,
November 2016.

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Abstract:

The most promising source of renewable energy is solar photovoltaic (SPV) generation. These SPV modules facing issues with varying environs as well as Partial shading conditions (PSC) of cells in the modules. Normally, for varying PSC of single SPV module maximum power point tracking (MPPT) techniques is quite adequate to overcome these issues. But in practice, SPV modules are interconnected and formed as SPV arrays and these are used for SPV generation in large scale applications. So these arrays are facing the PSC which results in multiple peaks in the P-V curves. This paper investigates the behaviour of three different structures of SPV arrays which gives rise to multiple peaks due to PSC. In this paper, SunPower SPR-X20- 250W-BLK module data is used to form SPV array and it is examined under PSC conditions with different irradiance (G) and temperatures (T) values. The electrical performance characteristics under PSC with three different structures of SPV array is obtained using Matlab/Simulink and are examined to get a clear idea to choose which style of connection is better for PSC.

Keywords:

SPV Module,Partial shading conditions (PSC),MPPT,SPV Arrays,SCS,PCS,CTS,

Refference:

I. AL-Ramaden and I. A. Smadi, “Partial Shading Detection and Global
MPPT Algorithm for PV System,” 2019 IEEE Jordan Int. Jt. Conf. Electr.
Eng. Inf. Technol., pp. 135–140, 2019.
II. Anjali, R. K. Kaushik, and D. Sharma, “Analyzing the Effect of Partial
Shading on Performance of Grid Connected Solar PV System,” 2018 3rd
Int. Conf. Work. Recent Adv. Innov. Eng., vol. 2018, no. November, pp.
1–4, 2019.
III. Babu, T. Vandana, T. Satyanarayana Murthy, and B. Sivaiah. “Detecting
unusual customer consumption profiles in power distribution systems—
APSPDCL.” 2013 IEEE International Conference on Computational
Intelligence and Computing Research. IEEE, 2013.
IV. Darmini and K. Sunitha, “Comparison of solar PV array configuration
methods under different shading patterns,” Proc. 2017 IEEE Int. Conf.
Technol. Adv. Power Energy Explor. Energy Solut. an Intell. Power Grid,
TAP Energy 2017, pp. 1–4, 2018.
V. G. Ganesh, G Vijay Kumar, A.R.VijayBabu, G.Srinivasa Rao,
Y.R.Tagore, Performance Analysis and MPPT Control of a Standalone
Hybrid Power Generation System, Journal of Electrical Engineering,
Volume 15, Edition: 1, pp. 334-343, 2015.
VI. Ibrahim, R. Aboelsaud, and S. Obukhov, “Application of Cuckoo Search
Algorithm for Global Maximum Power Point Tracking of PV under Partial
Shading,” 2019 Int. Youth Conf. Radio Electron. Electr. Power Eng., no. 1,
pp. 1–6, 2019.
VII. J. Ahmed and Z. Salam, “An Enhanced Adaptive P&O MPPT for Fast and
Efficient Tracking Under Varying Environmental Conditions,” IEEE
Trans. Sustain. Energy, vol. 9, no. 3, pp. 1487–1496, 2018.
VIII. K. Saidi, M. Maamoun, and M. Bounekhla, “Comparative Analysis of
Several Incremental Conductance MPPT Techniques for Photovoltaic
System,” vol. 4, no. 1, pp. 45–50, 2017.
IX. Kumar, R. K. Pachauri, and Y. K. Chauhan, “Experimental analysis of
SP/TCT PV array configurations under partial shading conditions,” 1st
IEEE Int. Conf. Power Electron. Intell. Control Energy Syst. ICPEICES
2016, no. 2, pp. 0–5, 2017.
X. Mitra, Indranil, Gopa Roy Biswas, and Sutapa Biswas Majee. “Effect of
Filler Hydrophilicity on Superdisintegrant Performance and Release
Kinetics From Solid Dispersion Tablets of A Model BCS Class II Drug.”
International Journal 4.1 (2014): 87-92.

XI. M. Kermadi, Z. Salam, J. Ahmed, and E. M. Berkouk, “An Effective
Hybrid Maximum Power Point Tracker of Photovoltaic Arrays for
Complex Partial Shading Conditions,” IEEE Trans. Ind. Electron., vol. 66,
no. 9, pp. 6990–7000, 2019.
XII. P. Madhanmohan and M. Nandakumar, “Effects of partial shading in
different PV module configurations with minimum interconnections,”
Proc. 2018 IEEE Int. Conf. Power, Instrumentation, Control Comput.
PICC 2018, pp. 1–6, 2018.
XIII. P. R. Satpathy, A. Sarangi, S. Jena, B. Jena, and R. Sharma, “Topology
alteration for output power maximization in PV arrays under partial
shading,” Int. Conf. Technol. Smart City Energy Secur. Power Smart
Solut. Smart Cities, ICSESP 2018 – Proc., vol. 2018-Janua, pp. 1–6, 2018.
XIV. S. Amin, S. Khan, and A. Qayoom, “Comparative analysis about the study
of maximum power point tracking algorithms: A review,” 2018 Int. Conf.
Comput. Math. Eng. Technol. Inven. Innov. Integr. Socioecon. Dev.
iCoMET 2018 – Proc., vol. 2018-Janua, pp. 1–8, 2018.
XV. T. K. Kho, J. Ahmed, S. Kashem, and Y. L. Then, “A comprehensive
review on PV configurations to maximize power under partial shading,”
IEEE Reg. 10 Annu. Int. Conf. Proceedings/TENCON, vol. 2017-Decem,
pp. 763–768, 2017.
XVI. W. G. J. H. M. van Sark, E. A. Alsema, H. M. Junginger, H. H. C. de
Moor, and G. J. Schaeffer, “Accuracy of progress ratios determined from
experience curves: the case of crystalline silicon photovoltaic module
technology development,” Prog. Photovoltaics Res. Appl., vol. 16, no. 5,
pp. 441–453, Aug. 2008.

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Abstract:

This paper discusses about ELD Problem is modelled by non-convex constrained based cost function. This paper discusses the noncovex cost function based ELD problem. Actually, these problems are not solvable using a convex optimization techniques. Normally convex-conventional techniques are not solvable to ELD problems. So there is a need for using a meta-heuristic optimization methods. So in order to solve the non-convex cost function problems, a new meta-heuristic optimization techniques are required. Out of all optimization techniques, Oppositional Teaching and Learning Based Optimization (OTLBO) is introduced to solve the ELD problems and which will give better promising results. In this paper, OTLBO algorithm is used to solve the load dispatch problems economically. to solutions economically with valve point loading effect. In this paper, Oppositional Teaching and Learning Based Optimization (OTLBO) compares with other standard standard algorithms like TLBO and lambda iteration method. The OTLBO feasibility and effectiveness is demonstrated on 6, 10, and 14 units test systems along with the other optimization algorithms. The Comparison results enhance the global best solution for economic load dispatch solutions.

Keywords:

Valve point loading effect,Economic load dispatch,Non-convex cost function,Oppositional T & L Based Optimization (OTLBO),Teaching and Learning Based Optimization (TLBO),

Refference:

I. Babu, T. Vandana, T. Satyanarayana Murthy, and B. Sivaiah. “Detecting
unusual customer consumption profiles in power distribution systems—
APSPDCL.” 2013 IEEE International Conference on Computational
Intelligence and Computing Research. IEEE, 2013.
II. F. Wollenberg, Allen J. Wood , “Power Generation, Operation, and Control”,
Second Edition, A Wiley Inter science Publication, New York, 1996.
III. H. NRadandN. Amjady, “Solution of non convex and non smooth economic
dispatch by a new Adaptive Real Coded Genetic Algorithm”, Expert Systems
with Applications, vol. 37, pp. 5239–5245, 2010.
IV. N. Chakraborty and K.K. Mandal, “Effect of control parameters on
differential evolution based combined economic emission dispatch with
valve-point loading and transmission loss,” International Journal of Emerging
Electric Power Systems, vol. 9, no. 4, pp. 1-20, 2008.
V. P Simon and S. Hemamalini, “Emission constrained economic dispatch with
valve point effect using particle swarm optimization”, IEEE International
conference (TENCON 2008), pp. 1-6, 2008.
VI. R.V. Rao, V. Patel, “An improved teaching-learning-based optimization
algorithm for solving unconstrained optimization problems”, ScientiaIranica
D, vol. 20 , pp. 710–720, 2013.

VII. Rao, B. Venkateswara, et al. “Optimal power flow by Newton method for
reduction of operating cost with SVC models.” 2009 International Conference
on Advances in Computing, Control, and Telecommunication Technologies.
IEEE, 2009.
VIII. SHAH, ASHISH P., et al. “INSILICO DRUG DESIGN AND MOLECULAR
DOCKING STUDIES OF SOME NATURAL PRODUCTS AS TYROSINE
KINASE INHIBITORS.” International Journal 5.1 (2017): 5.
IX. T Pal, PK Roy and M Pradhan, “Grey wolf optimization applied to economic
load dispatch problems,” International Journal of Electrical Power & Energy
Systems, vol. 83, pp. 325-334, 2016.
X. V.J. Savsani, R.V. Rao and D.P. Vakharia, “Teaching–learning-based
optimization: A novel method for constrained mechanical design
optimization problems,” Computer-Aided Design, vol. 43, no. 3, pp. 303–
315, 2011.

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Abstract:

This voltage multiplier increases the converter voltage to a significant level by a PWM switching technique. The duty cycle in the PWM controller controls the step-up converter operation and maintains the required output level. An inverter inverts the boost converter DC output to AC power and fed to the induction motor (IM). The operation of the IM is mainly based on the suitable choice of converter-inverter system. Inverter operation is controlled by a PWM switching technique. This paper mainly deals with the photovoltaic (PV) integration of Voltage Doubler converter and an inverter (DC-AC) fed IM drive for water pumping applications. Solar energy from the renewable resource is the primary source for this paper because of its availability. The electrical equivalent of available solar power is 77000 TW, and PV technology is adapting to convert solar energy into electrical. In renewable energy applications, a new high step-up converter is using to boost up the input variable low-voltage. Converter doubles the input voltage by using a voltage multiplier circuit. The proposed model is designed in MATLAB and the output waveforms are plotted.

Keywords:

High step-up converter,Induction motor,PV cell,Renewable energy sources,Voltage multiplier module,

Refference:

I. Bekele, Getachew, and Getnet Tadesse, “Feasibility study of small
Hydro/PV/Wind hybrid system for off-grid rural electrification in
Ethiopia,” Applied Energy, vol. 97, pp. 5-15, Sept 2012.
II. Belfkira Rachid, Lu Zhang, and Georges Barakat. “Optimal sizing study of
hybrid wind/PV/diesel power generation unit,” Solar Energy, vol. 85, no. 1,
pp. 100-110, Jan 2011.
III. Bhattacharjee, Subhadeep, and Shantanu Acharya, “PV–wind hybrid power
option for a low wind topography,” Energy Conversion and Management,
vol. 89, pp. 942-954, Jan 2015.
IV. D.N.S.Saranya, A.R.Vijay Babu, G.Srinivasa Rao, Y.R.Tagore, N.Bharath
Kumar, Fuel Cell Powered Bidirectional DC-DC Converter for Electric
Vehicles, International Journal of Control theory and Applications, Vol.8,
No.1, Jan-June, pp.109-120, 2015.
V. Khare, Vikas, Savita Nema, and Prashant Baredar, “Solar–wind hybrid
renewable energy system: A review,” Renewable and Sustainable Energy
Reviews, vol. 58, pp. 23-33, May 2016.
VI. Maheswararao, Ch Uma, YS Kishore Babu, and K. Amaresh. “Sliding mode
speed control of a DC motor.” 2011 International Conference on
Communication Systems and Network Technologies. IEEE, 2011.
VII. Olatomiwa, L., Mekhilef, S., Huda, A. S. N., & Ohunakin, O. S., “Economic
evaluation of hybrid energy systems for rural electrification in six geo-political
zones of Nigeria,” Renewable Energy, vol. 83, pp. 435-446, Nov 2015.
VIII. Rehman, S., Alam, M. M., Meyer, J. P., & Al-Hadhrami, L. M.,”Feasibility
study of a wind–pv–diesel hybrid power system for a village,” Renewable
energy, vol. 38, no. 1, pp. 258-268 Feb 2012.
IX. Sharma, Neelam. “Analysis of Lactate Dehydrogenase & ATPase activity in
fish, Gambusia affinis at different period of exposureto chlorpyrifos.”
International Journal 4.1 (2014): 98-100.
X. Sukumar, Durga, Jayachandranath Jithendranath, and Suman Saranu.
“Three-level inverter-fed induction motor drive performance improvement
with neuro-fuzzy space vector modulation.” Electric Power Components and
Systems 42.15 (2014): 1633-1646.
XI. Yadlapalli, Ravindranath Tagore, and Anuradha Kotapati. “A fast-response
sliding-mode controller for quadratic buck converter.” International Journal of
Power Electronics 6.2 (2014): 103-130.

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Abstract:

The utilization of non conventional energy sources has been increasing from the last few years due to the advantages of low power interruptions, unlimited power supply and non pollutant power generation. The wind power generation is one of the clean energy whose utilization will be an effective solution for global warming and power interruptions. This paper presents the design and simulation of bladeless wind power generation utilizing wind as an energy source and generating power without the use of blades. As wind energy is not constant, an MPPT with artificial neural network has been designed to maintain the voltage and current of bladeless wind generator at its maximum peak values irrespective of weather conditions. The output of the wind generator has been fed to the single phase induction motor which can be used for water pumping applications. The design of the proposed wind generator and the results are simulated by using MATLAB simulink.

Keywords:

Bladeless wind generator,artificial neural network,maximum power point tracking,

Refference:

I. Abhijit Mane, Manoj Kharade, Pravin Sonkambale Shubham Tapase, Sachin
S. Kudte, “Design & Analysis Of Vortex Bladeless Turbine With Gyro EGenerator”,
pp.1-2 , April 2017
II. Banafsheh Seyed-Aghazadeh, Daniel W. Carlson, Yaha Modarres-Sadeghi ,
“The influence of taper ratio on vortex-induced vibration of tapered cylinders
in the cross flow direction” ,Journal Of Fluids And Structures, No.15, July
2014.
III. G. Ganesh, G Vijay Kumar, A.R.Vijay Babu, G. Srinivasa Rao, Y.R.Tagore,
Performance Analysis and MPPT Control of a Standalone Hybrid Power
Generation System, Journal of Electrical Engineering, ISSN: 1582-4594,
Volume 15, Edition: 1, pp. 334-343, 2015.
IV. H.Mueller-Vahl, G. Pechlivanoglou, C.N. Nayeri, And C.O. Paschereit’
“Vortex Generators For Wind Turbine Blades: A Combined Wind Tunnel
And Wind Turbine Parametric Study”, In Proceedings Of Asme Igti Turbo
Expo 2012 Asme/Igti, June 11 -15, 2012.

V. Harikishan Gupta E.: “Design and Operation of Tesla turbo machine”,
International Journal of Advanced Transport Phenomena, Vol. 2, No.01, Jan
Dec 2013.
VI. http://www.vortexbladeless.com
VII. Kavitha, M., et al. “Evaluation of Antimitotic Activity of Mukia
maderaspatana L. Leaf Extract in Allium cepa Root Model.” International
Journal 4.1 (2014): 65-68.
VIII. Prof. Harshith K,Blayan Santhosh Fernandes Shreerama P, R Thilak Raj ,
“Bladeless Wind Power Generation”, (IJSRD) ,Vol.4.No. 03, pp.2321-0613,
2016.
IX. Prof. Saurabh Bobde, Gaurao Gohate, Abhilash Khairkar, Sameer Jadhav,
“Study of Vortex Induced Vibrations for Harvesting Energy” (IJIRSD),
Vol.2.No. 11, pp.2349-6010 April 2016.
X. Rao, B. Venkateswara, et al. “Optimal power flow by Newton method for
reduction of operating cost with SVC models.” 2009 International Conference
on Advances in Computing, Control, and Telecommunication Technologies.
IEEE, 2009.

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Abstract:

In our present days as we are using IC engine vehicles for any kind of transport(or)any other purpose. As we use diesel, petrol, kerosene and other kind of fuels for working of these engines. That increases the pollution in the environment. So, as the pollution is increasing day by day and also the fuel is getting depleted, we should look after an alternative source in replace. According to the recent survey we can hold our fuels like oil, petrol, diesel etc. up to 50-60 years. So, we are moving to the renewable energy sources for all kind of things like power generation etc. We can replace IC engines with an electric motor and the fuel can be replaced by rechargeable batteries. We can charge those batteries with renewable energy sources like Solar energy, Wind energy etc. In this we are using an electrical motor in place of IC engine to run this vehicle. We installed this concept in ATV (all-terrain vehicles).

Keywords:

All terrain vehicles (ATV),Energy management system,Alcohol detection,Finger print sensor,Arduino,Relay circuit,

Refference:

I. https://en.wikipedia.org/wiki/Battery_electric_vehicle
II. https://www.alke.com/electric-vehicles.
III. https://www.mainimaterials.in/electric-buggies.html.
IV. https://www.multiquip.com/multiquip/buggies.htm.
V. Maheswararao, Ch Uma, YS Kishore Babu, and K. Amaresh. “Sliding mode
speed control of a DC motor.” 2011 International Conference on
Communication Systems and Network Technologies. IEEE, 2011.
VI. Sharma, Neelam. “Analysis of Lactate Dehydrogenase & ATPase activity in
fish, Gambusia affinis at different period of exposureto chlorpyrifos.”
International Journal 4.1 (2014): 98-100.
VII. Sukumar, Durga, Jayachandranath Jithendranath, and Suman Saranu. “Threelevel
inverter-fed induction motor drive performance improvement with
neuro-fuzzy space vector modulation.” Electric Power Components and
Systems 42.15 (2014): 1633-1646.
VIII. Yadlapalli, Ravindranath Tagore, and Anuradha Kotapati. “A fast-response
sliding-mode controller for quadratic buck converter.” International Journal
of Power Electronics 6.2 (2014): 103-130.

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Abstract:

Multiple sensors are used in this modified surveillance system. The whole system is monitored and controlled wirelessly so there is a huge requirement of power to transmit the data which can be compensated with the use of sensors in a smart way, when the sensor detect the need of surveillance then the camera gets triggered based on the collective decision taken by the user and power is saved accordingly. The sensors are developed to visually capture the image. The project consists of camera (wireless) and stepper motor programmed with Arduino nano (to control the direction of object). Both camera and stepper motor is controlled wirelessly. The camera recording and streaming can be configured by connecting it via Wi-Fi and can be controlled with android application Plug & Play. The stepper motor is programmed by assembly language programming and the program will be dumped through a USB cable with the help of a pc and it can be controlled by interfacing the motor with serial Wi-Fi wireless transceiver module

Keywords:

Surveillance,Intrusion Detection System,Wireless,Power Consumption,

Refference:

I. A. Mehmood, T. Damarla, and J. Sabatier, “Separation of human and animal
seismic signatures using non-negative matrix factorization,” Pattern
Recognition Letters, vol. 33, no. 16,pp.2085-2093,June
2012.Available:http://www.sciencedirect.com/science/article/pii/S016786551
2002127.
II. Algorithm for non-negative matrix factorization,” in NIPS, vol. 13,
Vancouver, BC, Canada, 2001, pp. 556-562.
III. Babu, T. Vandana, T. Satyanarayana Murthy, and B. Sivaiah. “Detecting
unusual customer consumption profiles in power distribution systems—
APSPDCL.” 2013 IEEE International Conference on Computational
Intelligence and Computing Research. IEEE, 2013.
IV. G.Singh, K. G. Mehrotra, C. K. Mohan, and T. Damarla, “Inferring border
crossing intentions with hidden markov models,” in Proceedings of the 24th
international conference on Industrial engineering and other applications of
applied intelligent systems conference on Modern approaches in applied
intelligence – Volume Part I, ser.IEA/AIE’11. Berlin, Heidelberg: Springer-
Verlag, 2011, pp. 69-78. Available:http://dl.acm.org/citation.cfmid=
2025756.2025767.
V. H. Kameoka, N. Ono, K. Kashino, and S. Sagayama, “Complex nmf: A new
sparse representation for acoustic signals,” in Acoustics Speech and Signal
Processing (ICASSP), 2009 IEEE International Conference on, 2009, pp.
3437-3440.
VI. http://defense-update.com/products/f/falcon-watch.htm.
VII. http://www.selexsas.com/SelexGalileo/EN/Business/Products/AdvancedSens
ors/index.sdo.

VIII. K. M. Houston and D. P. McGaffigan, “Spectrum analysis techniques for
personnel detection using seismic sensors,” in Proc. SPIE, vol. 5090,
Orlando, FL, 2003, pp. 162-173.
IX. M. Zhang, J. Song and Y. Zhang, ‘Three-Tiered Sensor Networks
Architecture for Traffic Information Monitoring and Processing,” Intelligent
Robots and Systems (IROS 2005), 2005.
X. McQ, http://www.mcqinc.com/pdf/iScout Datasheet-12-Jul2011.pdf .
XI. NEETHU, J., et al. “A PROSPECTIVE STUDY ON RESPIRATORY
DISTRESS SYNDROME AMONG NEONATES IN NICU &
ASSESSMENT OF KNOWLEDGE, ATTITUDE & PRACTICE ON
NEONATAL CARE AMONG POSTNATAL MOTHERS–A PILOT
STUDY.” International Journal 5.1 (2017): 1.
XII. O. Gnawali, B. Greenstein, K. Jang, A. Joki, and J. Paek, “The Tenet
Architecture for Tiered Sensor Networks”, Proc. The 4th international
conference on Embedded networked sensor systems, 2006.
XIII. T. Damarla, A. Mehmood, and J. Sabatier, “Detection of people and animals
using nonimaging sensors,” in Proceedings of the 14th International
Conference on Information Fusion (FUSION), July 2011, pp. 1-8.
XIV. Y. Ye, V. Hilaire, A. Koukam, and W. Cai, “A Cluster Based Hybrid
Architecture for Wireless Sensor Networks,” Information Science and
Engineering (ISISE ’08), 2008.

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Abstract:

In modern day technological developments, Engineering has played an important role. What drives Engineering is nothing but Effeciency, which in other terms can also be called as Accuracy. The accuracy of the system should be very high when it comes to certain applications. Similar is the topic that has been presented in the paper below regarding the speed control of Permanent magnet Synchronous motor by field oriented control. There are several ways to do it , but this type of control makes the PMSM system to be efficient and accurate. The entire Permanent Magnet Synchronous Motor control system is categorized into several independent units such as PMSM coordinate transformation unit , inverter unit, body unit , SVPWM production unit and so on. The mathematical model of the PMSM system can be attained by joining these units. The main benefit of SIMULINK when compared to other softwares is that, instead of compiling program code, the model is built sequentially by the blocks present in software. With the mathematical modelling , we can examine different models and waveforms to provide an effective means for the analysis and design of the PMSM system. It is familiar that the control properties of P-I-D controller are better when compared with that PI controller. In the following paper, the Field Oriented Control system is enabled using P-I-D instead of standard PI model.

Keywords:

PMSM,FOC-Field oriented control,Inverse park transformation,PID Controller,

Refference:

I. Chen ming, Gao Ranying, Song Rongming ,”Simulation Study on a DTC
System of PMSM” 2011 The 6th International Forum on Strategic
Technology 978-1-4577- 0399-7111/$26.00 ©2011lEEE.
II. Hoang Le-Huy.,“Modeling and Simulation of Electrical Drives using
MATLAB/Simulink and Power System Block set”, The 27th Annual
Conference of the IEEE on Industrial Electronics Society, IECON ’01. Vol. 3
(2001): Page(s): 1603- 1611.
III. Jahns Thomas M., Kliman Gerald B. and Neumann Thomas W., “Interior
Permanent-Magnet Synchronous Motors for Adjustable-Speed Drives,” IEEE
Transactions on Industry Applications, vol.IA22, no.4 (1986): pp.738- 747.
IV. Mitra, Indranil, Gopa Roy Biswas, and Sutapa Biswas Majee. “Effect of
Filler Hydrophilicity on Superdisintegrant Performance and Release Kinetics
From Solid Dispersion Tablets of A Model BCS Class II Drug.” International
Journal 4.1 (2014): 87-92.
V. Pillay P. and Krishnan R., “Modelling of Permanent Magnet Motor Drives,”
IEEE Transactions on Industrial Electronics, vol.35, no.4 (1988): pp.537-
541.
VI. Sebastian T. Slemon G. and Rahman M., “Modelling of Permanent Magnet
Synchronous Motors,” IEEE Transactions on Magnetics, vol. 22 (1986): pp.
1069- 1071.
VII. Sukumar, Durga, JayachandranathJithendranath, and Suman Saranu. “Threelevel
inverter-fed induction motor drive performance improvement with
neuro-fuzzy space vector modulation.” Electric Power Components and
Systems 42.15 (2014): 1633-1646.
VIII. Yadlapalli, Ravindranath Tagore, and Anuradha Kotapati. “A fast-response
sliding-mode controller for quadratic buck converter.” International Journal
of Power Electronics 6.2 (2014): 103-130.

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Abstract:

This paper discusses the control action of various classic controllers such as fuzzy logic controllers and proportional-integral controllers. Consider the typical features of various terrains such as smooth, rough, uphill and downhill. For each type of terrain, i.e. when the local shape changes, the input parameters taken into account also change accordingly because it is adaptive, this includes all possible parameters of the vehicle. During running, the controller can perform smooth, rough, uphill and downhill driving at different speeds and terrain. The results were performed during the simulation.

Keywords:

Controllers,Hybrid Electric Vehicle,Speed,Terrains,Performance,

Refference:

I. Veeraraghavan, A. Bhave, V. Adithya, Y. Yokojima, S. Harada, S.
Komori and Y. Yano. “Driving scenario recognition for advanced hybrid
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(ITEC-India), 2017 IEEE, pp. 1-5. IEEE, 2017.
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online control of Plug-in Hybrid electric city bus.” IEEE Transactions on
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MOLECULAR DOCKING STUDIES OF SOME NATURAL
PRODUCTS AS TYROSINE KINASE INHIBITORS.” International
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on Industrial Electronics and Applications (ICIEA). IEEE, 2018.

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Abstract:

In this paper soft switching technique of a DC/DC converters are anticipated. Hard switching converters produce switching losses during turn ON and OFF. Due to this switching losses efficiency can be reduced. The resonant converter uses soft switching method for the reduction of switching losses. In this paper ZVS (zero voltage switching) resonance is applied for buck converter and auxiliary resonance is applied for boost converter and compare the performance of converters with and without resonance using MATLAB/Simulink software.

Keywords:

buck converter,boost converter,resonant circuit,auxiliary resonant circuit,soft switching converters,

Refference:

I. J.-H. Kim, D.-Y. Jung, S.-H. Park, C.-Y. Won, Y.-C. Jung, and S.-
W. Lee, “High efficiency soft-switching boost converter using a
single switch,” Journal of Power Electronic., vol. 9, no. 6, pp. 929–
939, Nov. 2009.
II. M. Subba Rao, Dr. Ch. SaiBabu, Dr. S. Satyanarayana “Digital
Fuzzy Current Mode Controlled Integrated PFC Converter with
External Ramp Compensation”, Journal of Circuits, Systems, and
Computers (JCSC), ISSN: 1793-6454, Vol. 27, No. 9,p.p1850147-1-
1850147-23.
III. Maheswararao, Ch Uma, YS Kishore Babu, and K. Amaresh.
“Sliding mode speed control of a DC motor.” 2011 International
Conference on Communication Systems and Network Technologies.
IEEE, 2011.
IV. N. Jain, P. K. Jain, and G. Joos, “A zero voltage transition boost
converter employing a soft switching auxiliary circuit with reduced
conduction losses,” IEEE Trans. Power Electron., vol. 19, no. 1, pp.
130–139, Jan. 2004.
V. Sharma, Neelam. “Analysis of Lactate Dehydrogenase & ATPase
activity in fish, Gambusia affinis at different period of exposureto
chlorpyrifos.” International Journal 4.1 (2014): 98-100.
VI. Sukumar, Durga, Jayachandranath Jithendranath, and Suman Saranu.
“Three-level inverter-fed induction motor drive performance
improvement with neuro-fuzzy space vector modulation.” Electric
Power Components and Systems 42.15 (2014): 1633-1646.
VII. Yadlapalli, Ravindranath Tagore, and Anuradha Kotapati. “A fastresponse
sliding-mode controller for quadratic buck
converter.” International Journal of Power Electronics 6.2 (2014):
103-130.

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