Robust Stability Conditions for Predictive Functional Control Algorithm of SISO Integrating Processes
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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。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 in- troduced, 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 Jury0s 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.
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