计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (31): 245-248.

• 工程与应用 • 上一篇    

饱和非线性时滞系统约束预测控制

徐 莉,刘 飞   

  1. 江南大学 轻工过程先进控制教育部重点实验室,江苏 无锡 214122
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2011-11-01 发布日期:2011-11-01

Constrained model predictive control for nonlinear system subject to actuator saturation

XU Li,LIU Fei   

  1. Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education),Institute of Automation,Jiangnan University,Wuxi,Jiangsu 214122,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-11-01 Published:2011-11-01

摘要: 针对一类具有执行器饱和与输出约束的离散非线性时滞系统,提出新的模糊预测控制方法。首先,采用T-S模糊模型来逼近实际非线性系统,运用平行分步补偿(PDC)原理将该系统转化为一系列线性系统的凸组合。其次,通过每个采样时刻优化无穷时域的“min-max”性能指标来求解状态反馈预测控制器,得到系统满足Lyapunov渐近稳定的充分条件,并进一步将该条件转化为基于线性矩阵不等式(LMI)技术的半正定规划(SDP)问题。最后,通过数值仿真验证该方法的有效性。

关键词: 离散非线性系统, 时滞, T-S模糊模型, 执行器饱和, 输出约束

Abstract: Aiming at a class of discrete-time nonlinear systems subject to actuator saturation and output constraint,a novel fuzzy predictive control method is proposed in this paper.Firstly,the approximation of a practical nonlinear system is realized by utilizing the T-S fuzzy model.Then,the above system is further converted into convex combinations of a series of linear subsystems by Parallel Distributed Compensation(PDC) scheme.Secondly,a state feedback predictive controller is obtained by optimizing an infinite time “min-max” performance index at each sampling instant.A sufficient condition for the Lyapunov asymptotical stability is obtained and it is further transformed into positive Semi-definite Programming(SDP) which can be easily solved by means of Linear Matrix Inequality(LMI).Finally,the availability and feasibility of the proposed method are both verified by specific numerical examples,respectively.

Key words: discrete-time nonlinear systems, time-delay, T-S fuzzy model, actuator saturation, output constraint