大时滞过程的预测自耦PI控制方法

Predictive Self-coupling PI Control Method for Large Time-delay Systems

针对大时滞系统的控制难题,提出了一种不依赖于被控对象模型的预测自耦PI(predictive self-coupling PI,PSC-PI)控制方法.该方法利用预估模型输出补偿实际输出,将系统外部扰动和内部不确定性定义为总和扰动,据此建立了动态误差系统,设计了以速度因子为核心的预测自耦PI控制律及其整定规则,进而形成了一个在总和扰动反相激励下的动态误差系统.理论分析表明,由预测自耦PI控制器组成的闭环控制系统具有全局鲁棒稳定性.仿真实验结果表明,该方法可以快速、平滑、准确地跟踪期望信号且控制精度高,在大时滞过程控制领域具有重要的理论意义和应用价值.

In this study,we propose a predictive self-coupling PI(PSC-PI)control method that does not depend on the object model for controlling systems with large time delays.Further,we use a predictor model output to compensate the actual output.We consider the external disturbance and internal uncertainty of the system as the total disturbance;therefore,we develop an error dynamic system and design a PSC-PI control law and the tuning law by considering the velocity factor as the core.Theoretical analysis denotes that the controller can ensurethe global robust stability of the system.The simulation results denote that the proposed method can smoothly track the desired signal with fast speed and high accuracy,exhibiting considerable theoretical significance and application value in the field of large time-delay process control.