Title :
T-S Fuzzy Control of Magnetic Levitation Systems Using QEA
Author :
Yu, Gwo-Ruey ; Huang, Yu-Jie
Author_Institution :
Dept. of Electr. Eng., Nat. Ilan Univ., Ilan, Taiwan
Abstract :
This paper proposed the design of T-S fuzzy control for magnetic levitation systems. The maglev systems are linearized at the equilibrium point first. Then the error state equations are derived and the proportional integral (PI) controller is applied to eliminate the steady-state tracking error. The nonlinear dynamic equations of the magnetic levitation systems are represented by a T-S fuzzy model. The optimal gains are found by using particle swarm optimization (PSO) and quantum-inspired evolutionary algorithm (QEA) respectively. The stability of the system is guaranteed by linear matrix inequalities (LMI) from Lyapunov approach. Computer simulations demonstrate the effectiveness of this design.
Keywords :
Lyapunov methods; PI control; evolutionary computation; fuzzy control; linear matrix inequalities; magnetic levitation; particle swarm optimisation; LMI; Lyapunov approach; PSO; QEA; T-S fuzzy control; computer simulations; linear matrix inequalities; magnetic levitation systems; nonlinear dynamic equations; particle swarm optimization; proportional integral controller; quantum-inspired evolutionary algorithm; steady-state tracking error elimination; system stability; Computer errors; Error correction; Fuzzy control; Integral equations; Magnetic levitation; Nonlinear dynamical systems; Nonlinear equations; Pi control; Proportional control; Steady-state;
Conference_Titel :
Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4244-5543-0
DOI :
10.1109/ICICIC.2009.346
