事件触发机制下的工业过程多速率模型预测控制方法

A Multi-rate Model Predictive Control with Event-Triggered Mechanism for Industrial Processes

随着工业互联网的发展,为避免网络拥塞,控制系统正在由时间触发向事件触发控制方向发展。本文针对一类多速率工业过程,将模型预测控制与提升技术和事件触发技术相结合,提出了事件触发机制下的多速率模型预测控制方法。该方法首先采用提升技术解决多速率问题,进而采用模型预测控制(Model Predictive Control, MPC)方法设计控制器以跟踪设定值;在此基础上,设计保证系统稳定的事件触发机制,使控制器仅在违反触发机制时更新。通过对典型工业磨矿过程仿真实验来验证本文所提方法的有效性,结果表明所提方法能够有效减少信道资源的占用和计算负载,为工业互联网环境下工业过程控制器设计提供了新的方法。

With the development of the industrial internet,the control system is developing from time-triggered to event-triggered for avoiding network congestion.For a class of multi-rate industrial processes,a multi-rate model predictive control method with event trigger mechanism is proposed by combining model predictive control(MPC)with lifting and event-triggered technologies.The proposed method firstly adopts the lifting technology to solve the multi-rate problem,and then employs MPC algorithm to design controller to achieve the setpoint tracking.Furthermore,an event-triggered mechanism is designed to make the controller update only under the condition of trigger mechanism violation,while ensuring the system stability.Experiments have been carried out on an industrial grinding process,showing the effectiveness of the proposed method.The proposed method can save the communication resource and computational load,thereby providing a new method for the design of process industrial controllers in industrial internet framework.