Using the framework of predictive control algorithms and the analysis results of unconstrained predictive control systems, the desired pole placement is achieved by the coefficient mapping between the characteristic p...Using the framework of predictive control algorithms and the analysis results of unconstrained predictive control systems, the desired pole placement is achieved by the coefficient mapping between the characteristic polynomials of the closed-loop system and the open-loop plant. The designed control law can not only ensure the dynamical performance of the closed-loop system, but also provide plentiful degrees of freedom to satisfy input-output constraints. Based on the theory of invariant set, this paper derives some sufficient conditions for the satisfaction of constraints with these degrees of freedom and presents an approach to design corresponding constrained controller.The constrained controller with performance guarantee can be designed off-line. Furthermore, it has convenient on-line computation and satisfies all constraints. A simulation example is presented to illustrate the proposed approach.展开更多
文摘Using the framework of predictive control algorithms and the analysis results of unconstrained predictive control systems, the desired pole placement is achieved by the coefficient mapping between the characteristic polynomials of the closed-loop system and the open-loop plant. The designed control law can not only ensure the dynamical performance of the closed-loop system, but also provide plentiful degrees of freedom to satisfy input-output constraints. Based on the theory of invariant set, this paper derives some sufficient conditions for the satisfaction of constraints with these degrees of freedom and presents an approach to design corresponding constrained controller.The constrained controller with performance guarantee can be designed off-line. Furthermore, it has convenient on-line computation and satisfies all constraints. A simulation example is presented to illustrate the proposed approach.
