期刊论文

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

中文

信息与控制

1002-0411

2019

48

6

672-677

10.13976/j.cnki.xk.2019.9182

国家自然科学基金资助项目(51877011) 湖南省教育厅重点资助项目(17A006).

本校为第一机构

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 (PSG-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 PSG-PI control law and the tuning law by considering the velocity factor as the core. Theoretical analysis denotes that the controller can ensuret...