A PSO-Tuning Method for Design of Fuzzy PID Controllers

Angeline, P.J. , 1998, “Using selection to improve particle swarm optimization ,” in Proceedings of the IEEE International Conference on Evolutionary Computation, Anchorage, AK, pp. 84—89.

Bennett, S. , 1993, “Development of the PID controller, ” IEEE Control Systems Magazine 13, 58—65.

Boeringer, D.W. and Werner, D.H. , 2004, “Particle swarm optimization versus genetic algorithms for phased array synthesis,” IEEE Transactions on Antennas and Propagation 52(3), 771—779.

Cervantes, I. , Garrido, R. , Jose, A.R. , and Martinez, A. , 2004, “Vision-based PID control of planar robots , ” IEEE Transactions on Mechatronics 9(1), 132—136.

Chalhoub, N.G. and Bazzi, B.A. , 2004, “Fuzzy logic control for an integrated system of a micro-manipulator with a single flexible beam,” Journal of Vibration and Control 10(5), 755—776.

Chatterjee, A. , Pulasinghe, K. , Watanabe, K. , and Izumi, K. , 2005, “A particle-swarm-optimized fuzzy-neural network for voice-controlled robot systems,” IEEE Transactions on Industrial Electronics 52(6), 1478—1489.

Chen, G. , 1996, “Conventional and fuzzy PID controller: An overview,” International Journal of Intelligent Control Systems 1, 235—246.

Eberhart, R.C. and Shi, Y. , 1998, “Comparison between genetic algorithms and particle swarm optimization,” in Proceedings of the IEEE International Conference on Evolutionary Computation, Anchorage, AK, pp. 611—616.

Fogel, D.B. , 2000, Evolutionary Computation: Toward a New Philosophy of Machine Intelligence, 2nd Edition, IEEE Press, New York.

Gaing, Z.L. , 2004, “A particle swarm optimization approach for optimum design of PID controller in AVR system,” IEEE Transactions on Energy Conversion 19(2), 384—391.

Ho, S.L. , Yang, S.Y. , Ni, G.Z. , Lo, E.W.C. , and Wong, H.C. , 2005, “A particle swarm optimization-based method for multiobjective design optimizations,” IEEE Transactions on Magnetics 41(5), 1756—1759.

Ishibuchi, H. and Murata, T. , 1998, “A multi-objective genetic local search algorithm and its application to flowshop scheduling” IEEE Transactions on Systems, Man, and Cybernetics-Part C: Applications and Review 28(3), 392—403.

Keel, L.H. , Rego, J.I. , and Bhattacharyya, S.P. , 2003, “A new approach to digital PID controller design,” IEEE Transactions on Automatic Control 48(4), 687—692.

Kennedy, J. and Eberhart, R.C. , 1995, “Particle swarm optimization,” in Proceedings of the IEEE International Conference on Neural Networks , Vol. IV, Perth, Australia, pp. 1942—1948.

Leung, Y.W. and Wang, Y. , 2000, “Multiobjective programming using uniform design and genetic algorithm” IEEE Transactions on Systems, Man, and Cybernetics-Part C: Applications and Review 30(3), 293—304.

Li, H.X. , Zhang, L. , Cai, K.Y. , and Chen, G. , 2005, “An improved robust fuzzy-PID controller with optimal fuzzy reasoning,” IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics 35(6), 1283—1294.

Li, T.H.S. and Shieh, M.Y. , 2000, “Design of a GA-based fuzzy PID controller for non-minimum phase systems,” Fuzzy Sets and Systems 111(2), 183—197.

Lin, L. , Jan, H.Y. , and Shieh, N.C. , 2003, “GA-based multiobjective PID control for a linear brushless dc motor,” IEEE Transactions on Mechatronics 8(1), 56—65.

Misir, D. , Malki, H.A. , and Chen, G. , 1996, “Design and analysis of a fuzzy proportional-integral-derivative controller,” International Journal of Fuzzy Sets and Systems 79, 297—314.

Na, M.G. , 2001, “Auto-tuned PID controller using a model predictive control method for the stream generator water level, ” IEEE Transactions on Nuclear Science 48(5), 1664—1671.

Ogata, K. , 2002, Modern Control Engineering, 4th Edition, Prentice-Hall, Englewood Cliffs, NJ.

Ratnaweera, A. , Halgamuge, S.K. , and Watson, C. , 2004, “Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients,” IEEE Transactions on evolutionary computation 8(3), 240—255.

Parsopoulos, K.E. and Vrahatis M.N. , 2002, “Recent approaches to global optimization problems through Particle Swarm Optimization,” Natural Computing 1(2—3), 235—306.

Shi, L.Z. and Trabia, M.B. , 2005, “Comparison of distributed PD-like and importancebased fuzzy logic controllers for a two-link rigid-flexible manipulator, ” Journal of Vibration and Control 11(6), 723—747.

Shi, Y. and Eberhart, R.C. , 1999, “Empirical study of particle swarm optimization ,” in Proceedings of the Congress on Evolutionary Computation, Washington, DC, pp. 1945—1950.

Sun, Y.L. and Er, M.J. , 2004, “Hybrid fuzzy control of robotics systems , ” IEEE Transactions on Fuzzy Systems 12(6), 755—765.

Tao, C.W. and Taur, J.S. , 2005, “Robust fuzzy control for a plant with fuzzy linear model,” IEEE Transactions on Fuzzy Systems 13(1), 30—41.

Wang, L.X. , 1997, A Course in Fuzzy Systems and Control, Prentice-Hall, Englewood Cliffs, NJ.

Whidborne, J.F. and Istepanian, R.S.H. , 2001, “Genetic algorithm approach to designing finite-precision controller structures,” IEE Proceedings of Control Theory and Applications 148(5), 377—382.

Wu, C.J. , 1999, “Quasi time-optimal PID control of multivariable systems: A seesaw example,” Journal of the Chinese Institute of Engineers 22(5), 617—625.

Wu, C.J. , Liu, G.Y. , Cheng, M.Y. , and Lee, T.L. , 2002, “A neural-network-based method for fuzzy parameter tuning of PID controllers,” Journal of the Chinese Institute of Engineers 25(3), 265—276.

Yoshida, H. , Kawata, K. , and Fukuyama, Y. , 2000, “A particle swarm optimization for reactive power and voltage control considering voltage security assessment, ” IEEE Transactions on Power Systems 15(4), 1232—1239.

Ziegler, J.G. and Nichols, N.B. , 1942, “Optimum setting for automatic controller , ” ASME Transactions 64, 759— 768.