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SISO积分对象预测函数控制算法的鲁棒稳定性条件
引用本文:张彬,张奇智,张卫东.SISO积分对象预测函数控制算法的鲁棒稳定性条件[J].自动化学报,2006,32(1):125-132.
作者姓名:张彬  张奇智  张卫东
作者单位:1.上海交通大学自动化系 上海 200030
基金项目:中国科学院资助项目;中南大学校科研和教改项目
摘    要:基于积分对象脉冲响应设计预测函数控制器,引入一种新的误差反馈校正方法可有效消除系统稳态误差.通过多项式Jury主系数稳定性判定定理,定性给出SISO积分对象闭环预测函数控制算法鲁棒稳定的条件.所给控制算法鲁棒性强、在线计算量小.仿真实验说明了该方法的有效性和优点。

关 键 词:预测函数控制    鲁棒稳定性    积分对象    误差补偿
收稿时间:2004-06-01
修稿时间:2004-12-28

Robust Stability Conditions for Predictive Functional Control Algorithm of SISO Integrating Processes
ZHANG Bin,ZHANG Qi-Zhi,ZHANG Wei-Dong.Robust Stability Conditions for Predictive Functional Control Algorithm of SISO Integrating Processes[J].Acta Automatica Sinica,2006,32(1):125-132.
Authors:ZHANG Bin  ZHANG Qi-Zhi  ZHANG Wei-Dong
Affiliation:1.Automation of Department, Shanghai Jiaotong University, Shanghai 200240
Abstract:A predictive functional control algorithm based on impulse response model is designed for integrating processes in this paper. A new error compensation method is introduced, which can eliminate the permanent offset between the setpoint and the system output when the integrating system is affected by large disturbance. Performance of the closed loop system is discussed, and robust stability conditions for the resultant closed loop system are given based on Jury's dominant coefficient criterion. It is shown that the designed method can significantly reduce online computation and provide good robustness for parameters perturbation. At last, simulations are presented to verify the given strategy.
Keywords:Predictive functional control  robust stability  integrating process  error compensation
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