Hédi YAHIA, Noureddine LIOUANE, Rachid DHIFAOUI

Multiobjective differential evolution-based performance optimization for switched reluctance motor drives

The simple structure, low manufacturing cost, rugged behavior, high torque per unit volume, and wide torque-speed range make a switched reluctance motor (SRM) very attractive for industrial applications. However, these advantages are overshadowed by its inherent high torque ripple, acoustic noise, and difficulty to control. The controlled parameters in SRM drives can be selected as the turn-on angle, the turn-off angle, and the current reference. This paper investigates the problem of optimal control parameters considering the maximum average torque, minimum copper losses, and minimum torque ripple as the main objectives in SRM drives. The use of evolutionary algorithms (EAs) to solve problems with multiple objectives has attracted much attention recently. Differential evolution (DE) is an EA that was developed to handle optimization problems over continuous domains. A multiobjective DE (MODE) technique is introduced here to find the optimal firing angles under multiple operating conditions. The simulation results carried out on a 4-phase 8/6 pole SRM show that the proposed MODE can be a reliable alternative for generating optimal control in the multiobjective optimization of SRM drive systems.

Anahtar Kelimeler:

Optimal control parameters, differential evolution, multiobjective differential evolution, SRM drives, performance optimization

Multiobjective differential evolution-based performance optimization for switched reluctance motor drives

Keywords:

Optimal control parameters, differential evolution, multiobjective differential evolution, SRM drives, performance optimization,

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Z.Y. Zhen, W.M. Terry, C.B. Juan, “An investigation of multiphase excitation modes of a 10/8 switched reluctance motor with short ﬂux path to maximize its average torque”, Proceedings of the 9th IEEE International Symposium on Industrial Electronics, Vol. 2, pp. 390–395, 2000.
A.D. Cheok, Y. Fukuda, “A new torque and ﬂux control method for switched reluctance motor drives”, IEEE Transactions on Power Electronics, Vol. 17, pp. 617–626, 2002.
C. Changhwan, K. Seungho, K. Yongdae, P. Kyihwan, “A new torque control method of a switched reluctance motor using a torque-sharing function”, IEEE Transactions on Magnetics, Vol. 38, pp. 3288–3290, 2002.
J. Reinert, R. Inderka, M. Menne, R.W. De Doncker, “Optimizing performance in switched reluctance drives”, IEEE Transactions on Industrial Application and Magnetics, Vol. 6, pp. 63–70, 2000.
W. Shun-Chung, L. Wen-Han, “Turn-on angle searching strategy for optimized eﬃciency drive of switched reluctance motors”, Proceedings of the 30th Annual Conference of the IEEE Industrial Electronics Society, Vol. 2, pp. 1873– 1878, 2004.
O. Seok-Gyu, A. Jin-Woo, L. Young-Jin, L. Man-Hyung, “Study on optimal driving condition of SRM using GAneural network”, Proceedings of the 10th IEEE International Symposium on Industrial Electronics 2001, Vol. 2, pp. 1382–1386, 2001.
R.T. Naayagi, V. Kamaraj, “Minimization of torque ripple in switched reluctance machine for direct drive applications”, Proceedings of International Conference on Emerging Technologies, pp. 388–392, 2005.
N. Bhiwapurkar, N. Mohan, “Torque ripple optimization in switched reluctance motor using two-phase model and optimization search technique”, Proceedings of the International Symposium on Power Electronics, Electrical Drives Automation and Motion, pp. 340–345, 2006.
K.I. Hwu, C.M. Liaw, “Intelligent tuning of commutation for maximum torque capability of a switched reluctance motor”, IEEE Transactions on Energy Conversion, Vol. 18, pp. 113–120, 2003.
P.L. Chapman, S.D. Sudhoﬀ, “Design and precise realization of optimized current waveforms for an 8/6 switched reluctance drive”, IEEE Transactions on Power Electronics, Vol. 17, pp. 76–83, 2002.
R. Gobbi, N.C. Sahoo, “Optimization techniques for a hysteresis current controller to minimize torque ripple in switched reluctance motors”, IET Electric Power Applications, Vol. 3, pp. 453–460, 2009.
J.M. Stephenson, A. Hughes, R. Mann, “Online torque ripple minimization in a switched reluctance motor over a wide speed range”, IEE Proceeding of Electric Power Applications, Vol. 149, pp. 261–267, 2002.
X.D. Xue, K.W.E. Cheng, J.K. Lin, Z. Zhang, K.F. Luk, N.C. Cheung, “Optimal control method of motoring operation for SRM drives in electric vehicles”, IEEE Transactions on Vehicle Technology, Vol. 59, pp. 1191–1204, 20
H. Yahia, M.F. Mimouni, R. Dhifaoui, “New control strategy of switched reluctance machine drives”, International Review of Modelling and Simulation”, Vol. 3, pp. 299–305, 2010.
F. D’hulster, K. Stockman, J. Desmet, R. Belmans, “Advanced nonlinear modeling techniques for switched reluctance machines”, International Conference on Modeling, Simulation and Optimization, pp. 44–51, 2003.
T.J.E. Miller, M. McGilp, “Nonlinear theory of the switched reluctance motor for rapid computer-aided design”, IEE Proceedings B - Electric Power Applications, Vol. 137, pp. 337–347, 1990.
K. Vijayakumar, R. Karthikeyan, S. Paramasivam, R. Arumugam, K.N. Srinivas, “Switched reluctance motor modeling, design, simulation, and analysis: a comprehensive review”, IEEE Transactions on Magnetics, Vol. 44, pp. 4605–4617, 2008.
H.F. John, L. Yun, P.C. Kjaer, J.J. Gribble, T.J.E. Miller, “Pareto-optimal ﬁring angles for switched reluctance motor control”, Proceedings of the 2nd IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, Vol. 3, pp. 1–6, 1997.
M. Martin, H. Aleˇs, “Optimization of switched reluctance motor control”, Proceedings of the 10th Conference Student EEICT, Vol. 3, pp. 484–487, 2004.
D.A. Torrey, J.H. Lang, “Optimal-eﬃciency excitation of variable-reluctance motor drives”, IEE Proceedings B Electric Power Applications, Vol. 138, pp. 1–14, 1991.
M.O. Avoki, “A new technique for multidimensional performance optimization of switched reluctance motors for vehicle propulsion”, IEEE Transactions on Industrial Applications, Vol. 39, pp. 387–392, 2003.
J.X. Xu, S.K. Panda, Q. Zheng, “Multiobjective optimization of current waveforms for switched reluctance motors by genetic algorithm”, Proceedings of the World Congress on Computational Intelligence, Vol. 2, pp. 1860–1865, 200
X.D. Xue, K.W.E. Cheng, T.W. Ng, N.C. Cheung, “Multi-objective optimisation design of in-wheel switched reluctance motors in electric vehicles”, IEEE Transactions on Industrial Electronics, Vol. 57, pp. 2980–2987, 2010. F. Xue, A.C. Sanderson, R.J. Graves, “Pareto-based multi-objective diﬀerential evolution”, Proceedings of the Congress on Evolutionary Computation, Vol. 2, pp. 862–869, 2003.
B.V. Babu, P.G. Chakole, J.H.S. Mubeen, “Multiobjective diﬀerential evolution (MODE) for optimization of adiabatic styrene reactor”, Journal of Chemical Engineering Science, Vol. 60, pp. 4822–4837, 2005.
E.M. Montes, M.R. Sierra, C.A. Coello, “Multi-objective optimization diﬀerential evolution: a survey of the state of the art”, Advances in Diﬀerential Evolution Studies in Computational Intelligence, Vol. 3, pp. 540–567, 2008.
J.A. Adeyemo, F.A.O. Otieno, “Multi-objective diﬀerential evolution algorithm for solving engineering problems”, Journal of Applied Sciences, Vol. 9, pp. 3652–3661, 2009.
D.G. Regulwar, S.A. Choudhari, P.A. Raj, “Diﬀerential evolution algorithm with application to optimal operation of multipurpose reservoir”, Journal of Water Resource and Protection, Vol. 2, pp. 560–568, 2010.
L.V. Santana-Quintero, C.A. Coello, “An algorithm based on diﬀerential evolution for multi-objective problems”, International Journal of Computational Intelligence Research, Vol. 1, pp. 151–169, 2005.
M.J. Reddy, D.N. Kumar, “Multiobjective diﬀerential evolution with application to reservoir system optimization”, Journal of Computing in Civil Engineering, Vol. 1, pp. 136–146, 2007.
R. Storn, K.V. Price, “Diﬀerential evolution - a simple and eﬃcient heuristic for global optimization over continuous spaces”, Journal of Global Optimization, Vol. 11, pp. 341–359, 1997.
B.V. Babu, J.H.S. Mubeen, P.G. Chakole, “Multi-objective optimization using diﬀerential evolution”, Journal of Information Technology, Vol. 2, pp. 4–12, 2005.
H. Yahia, N. Liouane, R. Dhifaoui, “Weighted diﬀerential evolution based PWM optimization for single phase voltage source inverter”, International Review of Electrical Engineering, Vol. 9, pp. 125–130, 2010.
K. Deb, “Multi-objective Optimization Using Evolutionary Algorithms”, New York, Willey, 2001.
K. Deb, S. Agrawal, A. Pratap, T. Meyarivan, “A fast elitist non-dominated sorting genetic algorithm for multiobjective optimization: NSGA-II”, Proceedings of the 6th International Conference on Parallel Problem Solving from Nature, Vol. 3, pp. 849–858, 2000.
H. Kung, F. Luccio, F. Preparata, “On ﬁnding the maxima of a set of vectors”, Journal of the Association Computing Machinery, Vol. 22, pp. 469–476, 1975.
K. Mishra, S. Harit, “A fast algorithm for ﬁnding the non dominated set in multi-objective optimization”, International Journal of Computer Applications, Vol. 1, pp. 35–39, 2010.
J. Du, Z. Cai, Y. Chen, “A sorting based algorithm for ﬁnding non-dominated set in multi-objective optimization”, Proceedings of the 3rd International Conference on Natural Computation, Vol. 4, pp. 436–440, 2007.
D. Swagatam, A. Ajith, K.C. Uday, K. Amit, “Diﬀerential evolution using a neighborhood-based mutation operator”, IEEE Transactions on Evolutionary Computation, Vol. 1, pp. 526–553, 2009.