Journal of Guangdong University of Technology ›› 2022, Vol. 39 ›› Issue (05): 68-74.doi: 10.12052/gdutxb.220056

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

Yang Yi-zhuo, Dai Wei   

  1. School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China
  • Received:2022-03-28 Published:2022-07-18

Abstract: 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.

Key words: multi-rate, event-triggered, model predictive control, grinding process

CLC Number: 

  • TP273
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