论文信息 - MQPSO Algorithm Based Fuzzy PID Control for a Pendubot System

MQPSO Algorithm Based Fuzzy PID Control for a Pendubot System

In this study, a modified quantum-behaved particle swarm optimization (MQPSO) approach is proposed to design an optimal fuzzy PID controller for asymptotical stabilization of a pendubot system. In the fuzzy PID controller, parameters are determined by using MQPSO algorithm. The MQPSO method and other PSO methods are then applied to design an optimal fuzzy PID controller in a pendubot system. Comparing the simulation results, the feasibility of the MQPSO is verified.

Chia-Nan Ko | Li-Chun Lai | Yu-Yi Fu

[1] Mark W. Spong,et al. Robot dynamics and control , 1989 .

[2] Li-Xin Wang,et al. A Course In Fuzzy Systems and Control , 1996 .

[3] Chin-Wang Tao,et al. Robust fuzzy control for a plant with fuzzy linear model , 2005, IEEE Transactions on Fuzzy Systems.

[4] I. Cervantes,et al. Vision-based PID control of planar robots , 2004, IEEE/ASME Transactions on Mechatronics.

[5] Maurice Clerc,et al. The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..

[6] Saman K. Halgamuge,et al. Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients , 2004, IEEE Transactions on Evolutionary Computation.

[7] Niahn-Chung Shieh,et al. GA-Based Multiobjective PID Control for a Linear , 2003 .

[8] Wenbo Xu,et al. Particle swarm optimization with particles having quantum behavior , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

[9] James F. Whidborne. A genetic algorithm approach to designing finite-precision PID controller structures , 1999 .

[10] Parameter Estimation of Chaotic Dynamical Systems Using Quantum-behaved Particle Swarm Optimization Based on Hybrid Evolution , 2013 .

[11] Shankar P. Bhattacharyya,et al. A new approach to digital PID controller design , 2003, IEEE Trans. Autom. Control..