Archive

Abstract:

A robust nonlinear control technique based on synergetic control theory is presented to extract maximum power of standalone photovoltaic system (SPV). The synergetic control makes the controlled system robust under the presence of system uncertainties and external disturbances such as variable irradiance and temperature. The designed control law guarantees the fast convergence towards the maximum power operating point origin without any oscillations. The PV system comprises of a PV source, power converter, maximum power point tracking algorithm and load. The simulations results show effectiveness of proposed method in comparison with Perturb and Observe (P&O) method under different atmospheric conditions such as variable solar radiation and PV cell temperature.

Keywords:

Synergetic control,Maximum power point,standalone PV system,

Refference:

I. A. A. Kolesnikov, “Synergetic Control Theory”, Energoatomiizdat, Moscow,
1994.
II. A. Sriharibabu and G. Srinivasa Rao, “DSPACE real time implementation of
maximum power point tracking method for photovoltaic system using neural
network”, Jol. of Advanced Research in Dynamical and Control Systems,
vol.10, no.9, pp. 2005-2010, 2018.
III. L.V S Kumar and G.V.N. Kumar, “Power conversion in renewable energy
systems: A review advances in wind and PV system “, International Journal
of Energy Research , vol. 41, no. 2, pp.182- 197, 2016.
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. M. G. Villalva, J. R. Gazoli, and E. R. Filho, “Comprehensive approach to
modeling and simulation of photovoltaic arrays,” Power Electron., IEEE
Trans., vol. 24, no. 5, pp. 1198–1208, May 2009.
VI. M. Subba Rao, Dr. Ch.SaiBabu, and Dr.S.Satyanarayana, “1-phase Integrated
Buck- Boost PFC LED Driver ” in the Jol. of Advanced Research in
Dynamical and Control Systems, vol. 9, no.1, pp. 283-292, Oct 2017.
VII. 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.
VIII. 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.
IX. 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 shows the exhibiting and examination of trouble and watch (P and O) figuring for isolating the power structure photovoltaic group (PVA). In perspective on non-straight characteristics of PV cell, the best power can be remove under one explicit voltage conditions. In this way, most outrageous power point following (MPPT) computations is used in PVA to extend the yield control. In this paper the MPPT computations is executed using DC-DC bolster converter (adventure up converter) sustaining a resistive weight. The component of PVA is reproduced at different sun situated irradiance and cell temperature.

Keywords:

Photo Voltaic Array (PVA),,most extreme Power Point Tracking (MPPT),DC-DC Boost Converter,

Refference:

I. A. Naveen Reddy,; “ Performance and Improvement of Induction Motor by
Using Multilevel Inverter” IJCTA, 9(10), 2016, pp. 4211-4219 International
Science Press.
II. A.R.VijayBabu, V.Rajyalakshmi, K.Suresh, Renewable Energy Integrated
High Gain DC-DC Converter with Multilevel Inverter for Water Pumping
Applications, Journal of Advanced Research in Dynamical and Control
Systems, Volume 9, Issue 1, PP. 172-190, 2017.
III. H.F. Abdul Wahab and H. Sanusi, “ Simulink Model of Direct torque control
of induction machine,” American Journal of Applied Sciences 5 (8): 1083-
1090, 2008, ISSN 1546-923, 2008 Science Publications.
IV. 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.
V. Mohan Reddy K.; Naveen Reddy A.; “ Solar PV Array Fed Four Switch
Buck-Boost Converter for LHB Coach,” IJCTA, 9(29), 2016, pp. 249-255
International Science press.
VI. P. Satya Prakash,; Srikanth Gollapudi,; Alla Naveen Reddy,; K. Bala
Krishna,; “ Design and Implementation of Modified Septic Converter for
Battery Charging Application” Journal of Advanced Research in Dynamical
and control systems vol. 9. (2017).PP.100-109.
VII. 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.
VIII. 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.
IX. Toh, C.L.; Idris, N.R.N.;Yatim, A.H,M., “Torque ripple reduction in direct
torque control of induction motor drives,” power engineering conference,
2003, PECon 2003 Proceedings. National 15-16 Dec. 2003.

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Abstract:

In the present day with growing technology the Unmanned Aerial Vehicle (UAV) designed have limitless applications. These days UAVs are widely used in military operations, surveillance purposes and in Industries because of their reliability, size, cost effectiveness and multi-functionality. The number of automobiles is increasing by leaps and bounds. This is creating traffic congestion and increased pollution levels. UAVs are being developed keeping in mind all these aspects. An UAV can move from one place to another effortlessly. It can cover more distance in less time than conventional modes. This paper discusses on the Design and Assembling of an UAV for Defence Applications. UAVs can be used for reconnaissance and collecting data. UAVs can be controlled manually or automatically with encryption of the map-coordinates for added security. Features like Obstacle avoiding, GPS and Pick and Drop finds application in UAVs.

Keywords:

Flight Controller,Arduino,Electronic speed controller,BLDC Motors, Servo Motor,

Refference:

I. Engel, J. Sturm, D. Cremers, “Camera-based navigation of low
cost quadcopter”, IEEE /RSJ International Conference on
Intelligent Robots and Systems (IROS), pp. 2815-2821, Oct.
2012, ISBN 2153-0858.
II. Valvano, “Embedded Micro Computer Systems: Real Time
Interfacing”, Brooks-Cole, 2000, ISBN 0534366422.

III. Sajid Shaikh, RiteshVarpe, Vaibhav Adhalage, Akshay Virade
“Design and Development of a Quadrotor – A Didactic
Approach”, International Research Journal of Engineering and
Technology (IIRJET), Volume 04 Issue 07.
IV. Sandeep Khajure, Vaibhav Surwade, Vivek Badak, “Quadcopter
Design and Fabrication,” International Advance Research Journal
in Science, Engineering and Technology (IARJSET), Vol. 3,
Issue 2, February 2016.
V. 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.
VI. Vibha Kishor and Swati Singh, “Design and Development of
Arduino Uno Based Quadcopter,” in International Journal of
Engineering and Manufacturing Science ISSN 2249-3115 Vol. 7,
No. 1 (2017).

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Abstract:

This paper investigates redundancy and observability constrained Sequential Quadratic (SQ) technique for optimal Phasor Measurement Units (PMU) placement. The nonlinear constraints of buses are considered with this approach to optimize the quadratic objective for PMU placement. Zero Injection (ZI) bus constraints are modeled in quadratic formulation to less PMU locations. PMU placement with and without ZI constraints are compared to illustrate the importance of ZI constraint modeling for PMU placement. Redundancy in network is estimated with number of branches connected to bus. Redundancy of bus network is measured by the proposed Bus Redundancy Index (BRI). To estimate observability performance of the complete network, a Complete System Bus Observability Index (CSBOI) is proposed. IEEE- 14,30, and 57 bus systems are simulated with the proposed constrained SQ Programming formulation in MATLAB. The comparison of planned way with conventional methods is also considered to show its efficacy

Keywords:

Branches,Observability,Phasor Measurement Units,Redundancy,Sequential Quadratic Programming(SQP),Zero Injection buses,

Refference:

I. A. G. Phadke and J. S. Thorp, Synchronized phasor measurements and their
applications, vol. 1. New York, NY: Springer, 2008.
II. A. Abur, and A.G. Exposito, Power system state estimation: theory and
implementation. CRC press, 2004.
III. A. Almunif, and L.Fan, “Mixed Integer Linear Programming and Nonlinear
Programming for Optimal PMU Placement,” Power Symposium (NAPS),
North America, IEEE conference 2017.
IV. A.P.Singh, B.Nagu, N.V.Phanedra babu,and R.V. Jain, “Minimum
connectivity based technique for PMU placement in power systems,” 2017
8th International Conference on Computing, Communication and Networking
Technologies (ICCCNT). IEEE, 2017.
V. B.Gou. “Optimal placement of PMUs by integer linear programming,” IEEE
Transactions on power systems, vol. 23, no. 3, 2008, pp. 1525-1526.
VI. 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.
VII. Bulut, and M. Gol, “Binary integer programming based PMU placement in
the presence of conventional measurements,” PES Innovative Smart Grid
Technologies Conference Europe (ISGT-Europe), IEEE, 2016.
VIII. D. Dua, S. Dambhare, and G. Rajeev Kumar, “Optimal multistage scheduling
of PMU placement: An ILP approach”, IEEE Transactions on Power
Delivery, vol.23, no.4 ,2008, pp. 1812-1820
IX. F. Rashidi, A. Ebrahim, T. Niknam and M.R.Salehi, “Optimal placement of
PMUs with limited number of channels for complete topological
observability of power systems under various contingencies,” International
Journal of Electrical Power and Energy Systems, vol. 67, 2015, pp.125-137.
X. Gao, “An optimal PMU placement method considering bus weight and
voltage stability,” Environment and Electrical Engineering (EEEIC),12th
International Conference on. IEEE, 2013.
XI. Gómez, and A.R. Mario, “ILP-based multistage placement of PMUs with
dynamic monitoring constraints”, International Journal of Electrical Power &
Energy Systems, vol. 53, 2013, pp. 95-105.
XII. Gou, “Generalized integer linear programming formulation for optimal PMU
placement”, IEEE Transactions on Power Systems, vol. 23, no.3, 2008,
pp.1099-1104.
XIII. 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.

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Abstract:

This paper investigates the negative sequence current injection method for balancing the capacitor voltage in cascaded H--bridge D-STATCOM (MMCC-SSBC). Though the cascaded H -bridge D-STATCOM has the advantage of having less number of circuit components compared to Diode clamped and flying capacitor clamped D-STATCOM but the capacitor voltage balancing between the phase clusters is a main issue. Considering this problem the negative sequence current injection method is investigated under normal working condition of D-STATCOM as well as under large unbalance in the supply voltage. The performance of this technique is investigated by using MATLAB-SIMULINK modeling.

Keywords:

D-STATCOM,Capacitor balancing,Multi-level converter,Cascaded Hbridge multilevel converter,

Refference:

I. B. Gultekin, C. O. Gercek, T. Atalik, M. Deniz, N. Bicer, M. Ermis, K. N.
Kose, C. Ermis, E. Koc, I. Cadirci, A. Acik, Y. Akkaya, H. Toygar, and S.
Bideci, “Design and Implementation of a 154-kV 50-Mvar Transmission
STATCOM Based on 21-Level Cascaded Multilevel Converter,” IEEE
Transactions on Industry Applications, vol. 48, pp. 1030-1045, 2012.
II. B. Singh, P. Jayaprakash, T. R. Somayajulu, and D. P. Kothari, “Reduced
Rating VSC With a Zig-Zag Transformer for Current Compensation in a
Three-Phase Four-Wire Distribution System,” IEEE Transactions on Power
Delivery, vol. 24, pp. 249-259, 2009.
III. B. Wu, High-Power Converters and AC Drives: Wiley, 2006.
IV. C. Shih-Feng, W. Bo-Siang, C. Sheng-Wan, L. Chia-Tse, C. Po-Tai, H.
Akagi, and P. Barbosa, “Average power balancing control of a STATCOM
based on the cascaded H–bridge PWM converter with star configuration,” in
IEEE Energy Conversion Congress and Exposition (ECCE) 2013, pp. 970-
977.
V. H. Akagi, “Classification, Terminology, and Application of the Modular
Multilevel Cascade Converter (MMCC),” IEEE Transactions on Power
Electronics, vol. 26, pp. 3119-3130, 2011.
VI. H. Akagi, S. Inoue, and T. Yoshii, “Control and Performance of a
Transformerless Cascade PWM STATCOM With Star Configuration,” IEEE
Transactions on Industry Applications, vol. 43, pp. 1041-1049, 2007.
VII. K. Hasegawa and H. Akagi, “A New DC-Voltage-Balancing Circuit
Including a Single Coupled Inductor for a Five-Level Diode-Clamped PWM
Inverter,” IEEE Transactions on Industry Applications, vol. 47, pp. 841-852,
2011.

VIII. M. K. Mishra and K. Karthikeyan, “An Investigation on Design and
Switching Dynamics of a Voltage Source Inverter to Compensate Unbalanced
and Nonlinear Loads,” IEEE Transactions on Industrial Electronics, vol. 56,
pp. 2802-2810, 2009.
IX. M. K. Mishra and K. Karthikeyan, “An Investigation on Design and
Switching Dynamics of a Voltage Source Inverter to Compensate Unbalanced
and Nonlinear Loads,” IEEE Transactions on Industrial Electronics, vol. 56,
pp. 2802-2810, 2009.
X. 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.
XI. N. Hatano and T. Ise, “Control Scheme of Cascaded H–bridge STATCOM
Using Zero-Sequence Voltage and Negative-Sequence Current,” IEEE
Transactions on Power Delivery, vol. 25, pp. 543-550, 2010.
XII. P. Fang Zheng, L. Jih-Sheng, J. W. McKeever, and J. VanCoevering, “A
multilevel voltage-source inverter with separate DC sources for static VAr
generation,” IEEE Transactions on Industry Applications, vol. 32, pp. 1130-
1138, 1996.
XIII. S. Bhattacharya and D. Divan, “Synchronous frame based controller
implementation for a hybrid series active filter system,” in Thirtieth IAS
Annual Meeting, IEEE Industry Applications Conference, 1995, pp. 2531-
2540 vol.3.
XIV. 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.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.
XV. Z. Yushu, G. P. Adam, T. C. Lim, S. J. Finney, and B. W. Williams, “Hybrid
Multilevel Converter: Capacitor Voltage Balancing Limits and its Extension,”
IEEE Transactions on Industrial Informatics, vol. 9, pp. 2063-2073, 2013.

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Abstract:

In the present scenario of cyber-physical power grid, DC State Estimation (SE) plays a key role in the secure and reliable operation of power systems. Advanced communication and information technological devices like Remote Terminal Units’/Phasor Measurement Units’ measurement values are more prone to false/bad attack vectors. Those typical attacks that target SE are called False Data Injection Attacks (FDIAs) which can bypass classical detection methods. Load Redistribution Attacks (LRAs) are practical FDIAs that aim active bus power injections and active line power flows. Immediate LRAs lead to severe load shedding whereas delayed ones lead to load shedding and line outages too. To find the most damaging LRA vector, a bi-level mathematical optimization problem is framed, which represents attacker and defender. An optimal defense strategy is found by obtaining the Nash equilibrium on solving a two-player (attacker and defender) static zero-sum game considering load shedding as the utility function. The approach is analyzed on IEEE-30 bus test system, and attack and defense probabilities at Nash equilibrium are obtained.

Keywords:

Load Redistribution Attacks,Bi-level Programming Problem,Probabilistic static game theory,

Refference:

I. Bi, Suzhi, and Ying Jun Zhang. “Graphical methods for defense against falsedata
injection attacks on power system state estimation.” IEEE Transactions
on Smart Grid 5.3 (2014): 1216-1227.
II. Ding, Zhilu, Yingmeng Xiang, and Lingfeng Wang. “Quantifying the
influence of local load redistribution attack on power supply adequacy.” 2016
IEEE Power and Energy Society General Meeting (PESGM). IEEE, 2016.
III. Liu, Xuan, and Zuyi Li. “Local load redistribution attacks in power systems
with incomplete network information.” IEEE Transactions on Smart Grid 5.4
(2014): 1665-1676.
IV. Liu, Xuan, and Zuyi Li. “Local topology attacks in smart grids.” IEEE
Transactions on Smart Grid 8.6 (2016): 2617-2626.
V. Liu, Xuan, et al. “Cyber attacks against the economic operation of power
systems: A fast solution.” IEEE Transactions on Smart Grid 8.2 (2016):
1023-1025.
VI. Liu, Yao, Peng Ning, and Michael K. Reiter. “False data injection attacks
against state estimation in electric power grids.” ACM Transactions on
Information and System Security (TISSEC) 14.1 (2011): 13.
VII. 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.
VIII. Shen, Yubin, Minrui Fei, and Dajun Du. “Cyber security study for power
systems under denial of service attacks.” Transactions of the Institute of
Measurement and Control 41.6 (2019): 1600-1614.
IX. Xiang, Yingmeng, and Lingfeng Wang. “A game-theoretic study of load
redistribution attack and defense in power systems.” Electric Power Systems
Research 151 (2017): 12-25.
X. Xiang, Yingmeng, et al. “Coordinated attacks against power grids: Load
redistribution attack coordinating with generator and line attacks.” 2015 IEEE
Power & Energy Society General Meeting. IEEE, 2015.

XI. Xiang, Yingmeng, et al. “Power system reliability evaluation considering
load redistribution attacks.” IEEE Transactions on Smart Grid 8.2 (2016):
889-901.
XII. Xiang, Yingmeng, Lingfeng Wang, and Nian Liu. “A framework for
modeling load redistribution attacks coordinating with switching attacks.”
2017 IEEE Power & Energy Society General Meeting. IEEE, 2017.
XIII. Yang, Yingpeng, et al. “Man-in-the-middle attack test-bed investigating
cyber-security vulnerabilities in smart grid SCADA systems.” (2012): 138-
138.
XIV. Yuan, Yanling, Zuyi Li, and Kui Ren. “Modeling load redistribution attacks
in power systems.” IEEE Transactions on Smart Grid 2.2 (2011): 382-390.
XV. Yuan, Yanling, Zuyi Li, and Kui Ren. “Quantitative analysis of load
redistribution attacks in power systems.” IEEE Transactions on Parallel and
Distributed Systems 23.9 (2012): 1731-1738.

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Abstract:

The natural ventilation is flow through a closed surfaces. The internal air quality is good when the process of flow is continuous state of inlet and exhaust. By these way this paper described the room with close surfaces and flow direction comparison. Two open window with similar dimension are taken with top and bottom. The velocity of the flow inside are measured and determined a per measurements. By estimating the natural flow inside building the computational fluid dynamics process taken placed by using both concepts such as RANS method and LES method such as capturing the large eddy and by following governing Navier stokes equations

Keywords:

natural ventilation,fluid dynamics process,RANS method,Navier stokes equations,

Refference:

A.R.VijayBabu, Ch. Umamaheswara Rao, L. Tirupathaiah, Energy
Conservation, Green House Gas Emission Reduction and Management
Strategies of VFSTR University: A Case Study, Journal of Applied Research
in Dynamical & Control Systems, Volume 9, Issue 4, PP. 21-27, 2017.
II. G. Gan, “Effective depth of fresh air distribution in rooms with single-sided
natural ventilation,”Energy and Buildings, vol. 31, pp. 65-73, 1// 2000.
III. J. Morrissey, T. Moore, and R. E. Horne, “Affordable passive solar design in
a temperate climate : An experiment in residential building
orientation,”Renewable Energy, vol. 36, pp. 568-577, 2// 2011.
IV. Kavitha, M., et al. “Evaluation of Antimitotic Activity of
Mukiamaderaspatana L. Leaf Extract in Allium cepa Root Model.”
International Journal 4.1 (2014): 65-68.
V. K. Visagavel and P. S. S. Srinivasan, “Analysis of single side ventilated and
cross ventilated rooms by varying the width of the window opening using
CFD,”Solar Energy, vol. 83, pp. 2-5, 1// 2009.
VI. M. M. Eftekhari, L. D. Marjanovic, and D. J. Pinnock, “Air flow distribution
in and around a single-sided naturally ventilated room,”Building and
Environment, vol. 38, pp. 389397, 3// 2003.
VII. P. F. Linden, “The fluid mechanics of natural ventilation,” -Annual Review
ofFluid Mechanics, vol. 31, pp. 201-238, 1999.
VIII. Q. Chen and L. Glicksman. Application of computational fluid dynamics for
indoor air quality studies. Available:
http://www.accessengineeringlibrary.com/mgh pdf/0071450076_ar059.pdf.
IX. Q. Chen, “Ventilation performance prediction for buildings: A method
overview and recent applications,”Building and Environment, vol. 44, pp.
848-858, 4// 2009.
X. T. S. Larsen and P. Heiselberg, “Single-sided natural ventilation driven by
wind pressure and temperature difference,”Energy and Buildings, vol. 40, pp.
1031-1040, // 2008.
XI. U. Piomelli, “Large-eddy simulation: achievements and challenges,”Progress
in Aerospace Sciences, vol. 35, pp. 335-362, 5// 1999.
XII. Y. Wei, Z. Guo-qiang, W. Xiao, L. Jing, and X. San-xian, “Potential model
for single-sided naturally ventilated buildings in China,” Solar Energy, vol.
84, pp. 1595-1600, 9// 2010.
XIII. Yakhot, S. A. Orszag, S. Thangam, T. B. Gatski, and C. G. Speziale,
“Development of turbulence models for shear flows by a double expansion
technique,”Physics of Fluids A: Fluid Dynamics (1989-1993), vol. 4, pp.
15101520, 1992.

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Abstract:

The quadcopter is a device which works like a four-rotor helicopter with fixed rotor blades. It comes under the category of a drone. This paper explains how the quadcopter avoids the obstacle autonomously. For this, the ultrasonic sensors are used around the drone which senses the objects from distance and gives the signal to the Arduino controller board. It generates the signal which controls the quadcopter autonomously.

Keywords:

Drone,Quadcopter,Unmanned Aerial Vehicle,Obstacle Avoidance,Electronic Speed Controller(ESC),

Refference:

I. C. Woods, H. M. Lay and Q. P. Ha, “A novel extended potential field
controller for use on aerial robots,” 2016 IEEE International Conference on
Automation Science and Engineering (CASE), Fort Worth, TX, 2016, pp.
286-291.
II. Fu, A. Sarabakha, E. Kayacan, C. Wagner, R. John and J. M. Garibaldi, “A
comparative study on the control of quadcopter UAVs by using singleton and
non-singleton fuzzy logic controllers,” 2016 IEEE International Conference
on Fuzzy Systems (FUZZ-IEEE), Vancouver, BC, 2016, pp. 1023-1030.
III. Gheorghiţă, I. Vîntu, L. Mirea and C. Brăescu, “Quadcopter control system,”
2015 19th International Conference on System Theory, Control and
Computing (ICSTCC), Cheile Gradistei, 2015, pp. 421-426.
IV. Paiva, J. Soto, J. Salinas and W. Ipanaqué, “Modeling, simulation and
implementation of a modified PID controller for stabilizing a quadcopter,”
2016 IEEE International Conference on Automatica (ICA-ACCA), Curico,
2016, pp. 1-6.
V. Paredes, C. Jacinto, R. Ramírez, I. Vargas and L. Trujillano, “Fuzzy-PD
Controller for behavior mixing and improved performance in quadcopter
attitude control systems,” 2016 IEEE Latin American Conference on
Computational Intelligence (LA-CCI), Cartagena, Colombia, 2016, pp. 1-6.

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Abstract:

The paper emphasis the importance of DTC for an induction motor with multi level inverter in order to reduce the frequency of switching for the IGBT’S for same hysteresis bands of torque and flux. The simulations were completed in SIMULINK software. Simulation results from conventional NPC-DTC and modified NPC- DTC are presented and compared. Results shows that torque, flux linkage and stator current ripples are decreased with proposed NPC-DTC strategy. Evaluation was made based on the motor performance, which are like reduction of switching cycles and improvement in flux responses.

Keywords:

Direct Torque Control (DTC),Multi-level Inverter (MLI),

Refference:

I. A.Naveen Reddy.; “Performance and improvement of induction motor by
using multi level inverter” IJCTA, 9(10), 2016, pp. 4211-4219© International
Science Press
II. 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.
III. Mohan Reddy K.; Naveen Reddy A.; “Solar PV Array Fed Four Switch
Buck-Boost Converter for LHB Coach” IJCTA, 9(29), 2016, pp. 249-255©
International Science Press

IV. 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)
V. P. Satya Prakash.; Srikanth Gollapudi.; Alla Naveen Reddy.; K Bala
Krishna.; “Design And Implementation Of Modified Sepic Convertor For
Battery Charging Application” Journal of Advanced Research in Dynamical
and Control SystemsVol. 9. (2017).PP.100-109
VI. Sriharibabu.;A. Naveen Reddy.; “A Novel Hybrid Wind Solar Power System
with Open Winding Permanent Magnetic Machine” International Journal of
Control Theory and Applications ISSN : 0974-5572„ Volume 10,
2017,PP.149-156© International Science Press
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. Toh, C.L.; Idris, N.R.N.; Yatim, A.H.M., “Torque ripple reduction in direct
torque control of induction motor drives,” Power Engineering Conference,
2003. PECon 2003. Proceedings. National 15-16 Dec. 2003.
IX. 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:

In the present scenario the utilization of renewable energy sources arehappening to be more popular due to more vigorous regulations in fuel economy and carbon. This paper deals with the high voltage gain interleaved boost converter for a Photo Voltaic (PV) system with a neural network based Maximum Power Point Tracking (MPPT) controller. So as to nourish the high power electrical appliances it is necessary to design high voltage gain converters. In order to meet this requirement, a three phase interleaved boost converter (IBC) which can provide high voltage gain is proposed and designed for a PV system is proposed in this paper. The interleaving technique is adapted for the proposed converter as it is able to maintain less ripple content at the converter input current there by improves the life time of PV array. It also results less voltage stresses on the power semiconductor devices which are employed for high rated PV system. Unlike conventional modelling of PV array procedure, modelling of PV array using neural network does not require involvement of any scientific definitions. Consequently they can possibly give an unrivalled strategy for inferring non-linear models than the officially settled regular procedures. In this paper a radial basis neural network trained model is employed to simulate and anticipate the MPP of a Photo Voltaic arrayutilizing an arbitrary arrangement of information gathered from a genuine photovoltaic array. In this paper Simulinkplat form of MATLAB software is employed to break down the performance of the prosed system by carrying simulation. Furthermore, it is additionally demonstrated that the MPPT from the solar PV array with the reduced harmonics is achieved through the proposed model.

Keywords:

Photovoltaic array modelling,Maximum power point tracker,Neural network,MPPT,Inter leaved connection,

Refference:

I. A. R.VijayBabu, V. Rajyalakshmi, K. Suresh, Renewable Energy Integrated
High Gain DC-DC Converter with Multilevel Inverter for Water Pumping
Applications, Journal of Advanced Research in Dynamical and Control
Systems, Volume 9, Issue 1, PP. 172-190, 2017.
II. Avvaru Sriharibabu, GorantlasrinivasaRao “MPPT Design for Photo Voltaic
Energy System Using Back-stepping Control with a Neural Compensator”,
Int. Jour. of Eng. Tech., vol.7, PP. 129-132, Iss. 4.24, 2018.
III. D Y Jung, Y-HyokJi, S-Hoon Park, Y-Chae Jung, and Ch-Yuen Won,
“Interleaved Soft-Switching Boost Converter for Photovoltaic Power-
Generation System” in IEEE trans. on power electron. vol. 26, no. 4, April
2011
IV. 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.
V. Martin A.D., Vazquez J. R. “MPPT algorithms comparison in PV systems:
P&O, PI, neuro-fuzzy and backstepping controls”, IEEE International
Conference on Indust. Tech. (ICIT), 2015.
VI. Niraj Rana, Mukesh Kumar, Arnab Ghosh and S. Banerjee, “A Novel
Interleaved Tri-State Boost Converter with Lower Ripple and Improved
Dynamic Response,” in IEEE Tran. on Indust. Electronics, vol. 65, no. 7, pp.
54565465, July 2018.
VII. 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.
VIII. 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.
IX. 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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