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机构地区:[1]Institute of Automation, Shanghai Jiaotong University, Shanghai 200030
出 处:《自动化学报》2005年第5期655-661,共7页Acta Automatica Sinica
摘 要: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.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.
关 键 词:约束预测控制器 控制算法 定位技术 特征多项式 闭环系统
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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