Title :
Multi-Step Prediction Based Discrete-Time Sliding Mode Control Algorithm
Author :
Xiao, Lingfei ; Su, Hongye
Author_Institution :
Coll. of Energy & Power Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing
Abstract :
Predictive control strategy is employed to improve the performance of sliding mode control method in this paper. A multi-step sliding mode prediction model (MSMPM) is constructed at first. The MSMPM includes the function of compensating for system parameter perturbation and external disturbance. Based on the MSMPM and applied receding horizon optimization, a novel sliding mode control law for a class of discrete-time uncertain systems is obtained. Under the control law, closed-loop systems have strong robustness to matched or unmatched uncertainty, and chattering has been eliminated. The results of a inverted pendulum system verify the efficacy of the proposed algorithm.
Keywords :
closed loop systems; discrete time systems; nonlinear control systems; pendulums; perturbation techniques; variable structure systems; closed-loop systems; discrete-time sliding mode control algorithm; discrete-time uncertain systems; inverted pendulum system; multistep prediction; multistep sliding mode prediction model; system parameter perturbation; Control systems; Cyclic redundancy check; Educational institutions; Information technology; Predictive control; Predictive models; Robust control; Sliding mode control; Uncertain systems; Uncertainty; Discrete-time sliding mode control; multi-step prediction;
Conference_Titel :
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3497-8
DOI :
10.1109/IITA.2008.95
