Title :
Min-max MPC for LPV systems subject to actuator saturation by a saturation-dependent Lyapunov function
Author :
Zhang Langwen ; Wang Jingcheng ; Li Kang
Author_Institution :
Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
In this paper, we present a model predictive control algorithm for input-saturated systems by a saturation-dependent Lyapunov function approach. The saturation-dependent Lyapunov function captures the real-time information on the severity of saturation and thus leads to less conservative results in controller design. A set invariance condition for the systems with input saturation is presented. A min-max MPC algorithm is proposed for the linear parameter-varying (LPV) systems based on the invariant set. The MPC controller is determined by solving a linear matrix inequality (LMI) optimization problem. Numerical example demonstrates the effectiveness of the proposed algorithm.
Keywords :
Lyapunov methods; actuators; control system synthesis; invariance; linear matrix inequalities; linear systems; minimax techniques; optimisation; predictive control; LMI optimization problem; LPV systems; MPC controller; actuator saturation; controller design; input saturation; input-saturated systems; linear matrix inequality optimization problem; linear parameter-varying systems; min-max MPC algorithm; model predictive control algorithm; real-time information; saturation-dependent Lyapunov function approach; set invariance condition; Actuators; Algorithm design and analysis; Heuristic algorithms; Lyapunov methods; Prediction algorithms; Predictive control; Real-time systems; Actuator saturation; Linear parameter-varying; Model Predictive Control; Saturation-dependent;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an