自动化学报2018，Vol.44Issue(2)：262-269,8.DOI:10.16383/j.aas.2018.c160394
双层模型预测控制系统的多包镇定域分析与系统设计
Analysis and System Design of Multi-convex Hull Stabilization Domain for Double-layered Model Predictive Control System
摘要
Abstract
In order to solve the feasibility problem in double-layered model predictive control (MPC) caused by some states in dynamic control (DC) that violate the constraints,this paper proposes a new control strategy based on the overall control solution and introduces a new definition multi-convex hull stabilization domain (MHSD).This strategy designs the MHSD off line and then chooses a proper stabilization range online according to the real-time system state.The control horizon of the DC layer can be calculated at the same time.What is more,this paper enlarges the invariant sets and the stabilization domain through designing a nonlinear feedback controller so that the system states varying in a wide range can be controlled and the tracking effect is significantly improved.By using the above algorithm,the control process is recursively feasible and the optimal targets can be tracked precisely.The effectiveness of this method is verified in both stable and unstable systems through two examples.关键词
双层模型预测控制/约束/可镇定域/动态控制/闭环稳定性Key words
Double-layered model predictive control (MPC)/constraint/stabilization region/dynamic control (DC)/closed-loop stability引用本文复制引用
朱宇轩,李少远..双层模型预测控制系统的多包镇定域分析与系统设计[J].自动化学报,2018,44(2):262-269,8.基金项目
国家自然科学基金(61590924,61521063)资助 Supported by National Natural Science Foundation of China (61590924,61521063) （61590924,61521063）
