Title :
Control of Constrained Hybrid Systems: Mixed Integer Predictive Algorithm with Dynamic Control Horizon
Author :
Zhang, Ju ; Xu, Xinli ; Wang, Wanliang
Author_Institution :
Inst. of Autom., Zhejing Univ. of Technol., Hangzhou
Abstract :
Based on the discrete time mixed logical dynamical (MLD) model of hybrid system, mixed integer predictive control of hybrid system with inputs constraint is studied in this paper and the optimal control problem is cast as a standard mixed integer quadratic programming (MIQP) problem. In order to reduce online computational burden of the optimal control problem, and at the same time, to maintain good control performance and as largest as possible feasible region, a mixed integer model predictive control strategy with dynamic control horizon is purposed. At the end of the paper, simulations for a vibration control of elevator´s mechanical system are made
Keywords :
discrete time systems; integer programming; lifts; optimal control; predictive control; quadratic programming; vibration control; constrained hybrid systems; constrained optimal control; discrete time mixed logical dynamical model; dynamic control horizon; elevator mechanical system; mixed integer predictive control; mixed integer quadratic programming problem; optimal control problem; vibration control; Computational modeling; Control systems; Heuristic algorithms; Mechanical systems; Optimal control; Prediction algorithms; Predictive control; Predictive models; Quadratic programming; Vibration control; constrained optimal control; hybrid System; mixed integer predictive control; predictive control with dynamic horizon;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1712549
