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Recent Advances in Electrical & Electronic Engineering

Author(s): Vasu Koneti and Ganesh Vulasala*

DOI: 10.2174/2352096511666180518080101

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Performance Analysis of Brush Less DC Motor Drive Using Fractional Order Controller with PSO Algorithm

Page: [152 - 161] Pages: 10

  • * (Excluding Mailing and Handling)

Abstract

Background: This paper investigates the detailed study on the performance of Brushless DC (BLDC) motors with sudden application of loads, by using different control techniques. The increasing trend of usage of accurate control, high torque, low noise and higher efficiency for Electric Vehicles has appealed the attention Researcher in BLDC motors. So, BLDC motors can act a substitute for the conventional motors like Switched Reluctance motors, Induction Motors etc.

Methods: A Fractional Order Propositional-Integral Derivative (FOPID) controller has been proposed in this paper. The parameters FOPID controller is tuned with Particle Swarm (PSO) algorithm based on Integral Absolute Time Error (IATE) rule. A comparative analysis has been carried out in this paper by simulating the BLDC motor in MATLAB/Simulink and conducting experimental setup in the laboratory.

Results: The results reveal that the performance of FOPID controller is better regarding settling time, steady state error and ripple factor in the speed response with sudden load application.

Conclusion: In reference to the analysis, it can be summarized that the best tuned Fractional Order PID can perform better than the PID. The digital controller isimplemented using ccs-studio and tested in the DSPms320f28335 board.

Keywords: Fractional order controller, experimental, PSO, brushless DC motor, fuzzy logic, MOSFET.

Graphical Abstract

[1]
M. Sudhanshu, and O. Amit, "Performance analysis of BLDC motor drive using PI and FUZZY logic control scheme", International Research Journal of Engineering and Technology, vol. 2, pp. 916-922, 2015.
[2]
M.K. Hat, B.S.K.K. Ibrahim, T.A.T. Mohd, and M.K. Hassan, "Model based design of PID controller for BLDC motor with implementation of embedded arduino mega controller", APRN J. Eng. Appl. Sci., vol. 10, pp. 8589-8594, 2015.
[3]
S. Vishal, C. Ashish, and S. Anjum, "Performance analysis of brushless DC motor using intelligent controllers and minimization of torque ripples", Inter. J. Electron. Elect. Eng., vol. 7, pp. 321-326, 2014.
[4]
S. Pallavi, and K. Ankit, "Different types of speed controllers for brushless DC motors-A review", Global J. Eng. Sci. Res., vol. 3, pp. 68-78, 2016.
[5]
O.L. Oshin, and K. Ankit, "BLDC motor speed control using co-simulation of MULTISIM and LABVIEW", International Journal of Innovative Research in Electrical and Electronic, Instrumentation and Control Engineering; Nitte Conference on Advances in Electrical Engineering. Vol. 4, pp. 35-39, 2016
[6]
S. Das, S. Saha, S. Das, and A. Gupta, "On the selection of tuning methodology of FO-PID controllers for the control of higher order processes", ISA Trans., vol. 50, pp. 376-388, 2011.
[7]
D. Maiti, A. Acharya, M. Chakraborty, A. Konar, and R. Janarthanan, Tuning PID and PIλDβ controllers using the integral time absolute error criterion. In:Proceedings of the 4th International Conference on Information and Automation for Sustainability. New York, USA, 2008, pp. 457462.
[8]
Y. Jin, and J. Branke, "Evolutionary optimization in uncertain environments: A survey", IEEE Trans. Evol. Comput., vol. 9, pp. 303-317, 2005.
[9]
A. Rastogi, and P. Tiwari, "“Optimal tuning of fractional order PID controller for DC motor speed control using particle swarm optimization", Inter. J. Soft Comput. Eng., (IJSCE),. Vol. 3, 2013.
[10]
M.T. Ozdemir, D. Ozturk, I. Eke, V. Celik, and K.Y. Lee, "Tuning of optimal classical and fractional order PID parameters for automatic generation control based on the bacterial swarm optimization", IFAC-Papers Online, vol. 48, pp. 501-506, 2015.
[11]
O. Abedinia, A. Ghasemi, and N. Ghadimi, "Modified harmony search algorithm based unit commitment with plug-in hybrid electric vehicles", J. Artif. Intell. Electric. Eng. Vol. 2, 2013
[12]
M. Eskandari, I. Malekseedi, and N. Ghamdin, "A new multi objective allocator of capacitor banks and distributed generations using a new investigated differential evolution", Complexity, vol. 19, pp. 40-54, 2014.
[13]
O. Abedinia, M. Bekravi, and N. Ghadimi, "Intelligent controller based wide-area control in power system", Internat. J. Uncertain. Fuzzin. Knowl.- Based Syst. pp.1-30, 2017
[14]
A. Varshney, D. Gupta, and B. Dwivedi, "Speed response of brushless dc motor using fuzzy PID controller under varying loading Condition", J. Elect. Syst. Inform. Technol. Vol. 4, 2017
[15]
D. Kumpanya, and S. Tunyasrirut, DSP-based speed control of brushless DC Motor. In: Tanaka S., Hasegawa K., Xu R., Sakamoto N., Turner S.J Commun. Comput. Inform. Sci., Vol. 474 2014
[16]
I. Podlubny, "Fractional-order systems and PIλβD controllers", IEEE Trans. Automat. Contr., vol. 44, pp. 208-213, 1999.
[17]
A.A. Aldair, and W.J. Wang, "Design of fractional order controller based on evolutionary algorithm for a full vehicle nonlinear active suspension systems", Inter. J. Cont. Automat. Vol. 3, 2014
[18]
M.R. Dastranj, M. Rouhani, and A. Hajipoor, "Design of optimal fractional order PID controller using PSO algorithm", , Inter. J. Comput. Theor. Eng. Vol. 4, 2012.