Design of Prediction-Based Controller for Networked Control Systems with Packet Dropouts and Time-Delay

Zhaohong Wang,Jia Huang,Caixue Chen,Seiji Fukushima,Amin Jajarmi

doi:10.1155/2022/9437955

Zhaohong Wang, Jia Huang + Show 3 more

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https://doi.org/10.1155/2022/9437955

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Abstract

A novel prediction-based controller design is proposed for networked control systems (NCSs) with stochastic packet dropouts and time-delay in their control channel. The sequence of packet dropouts, which are modelled as a Bernoulli process, is compensated by a zero-order holder (ZOH)-based module, whereas a state predictor is utilized for obtaining the predicted states at the time delayed. In view of dropout compensator and state predictor, a novel modified model predictive controller (MPC) is designed and proposed in the following procedures. Compared to cost function of a general model predictive controller, variables of states are substituted by the predicted ones as obtained from state predictor preliminarily. Then, a logical programming approach is applied to include all the possible circumstances in the prediction horizon. Consequently, the cost function is reformed as simultaneous minimax linear matrix inequalities (LMI) with constraints. As a result, toolbox YALMIP is employed in order to solve such minimax programming problem eventually. Simulation results are presented to show the feasibility and performance of proposed method.

Highlights

In the last few decades, there has been a strong interest in the study of networked control systems (NCSs) [1] due to their broad application in unmanned aerial vehicles, intelligent transportation systems, mobile sensor networks, cloud computing, real-time systems, etc. [2,3,4]
Given the past studies and the existing documentation, our study focused on the following areas: (1) A novel prediction-based controller design is proposed for networked control systems (NCSs) with
In contrast to the cost function of the general model predictive controller, the state variables are replaced by the predictor variables initially obtained from the state predictor. en, a logic programming approach is used to incorporate all possible scenarios into the prediction range

Summary

Introduction

In the last few decades, there has been a strong interest in the study of networked control systems (NCSs) [1] due to their broad application in unmanned aerial vehicles, intelligent transportation systems, mobile sensor networks, cloud computing, real-time systems, etc. [2,3,4]. Unreliable communication networks and limited bandwidth lead to inevitable problems such as time-delay and packet loss. Ere is no doubt that these factors can significantly degrade the performance of NCSs, even worse, severe instability may be incurred. Time-delay may occur when data are exchanged between devices shared by the network. Such delays will lead to performance degradation and system instability if the designer does not take this into account. Packet loss may occur when packets are transmitted from the controller to the actuator through unreliable communication channels. Us, it is necessary and important to study networked control systems with both time-delay and packet loss Packet loss may occur when packets are transmitted from the controller to the actuator through unreliable communication channels. us, it is necessary and important to study networked control systems with both time-delay and packet loss

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