Abstract

The coupling between variables in the multi-input multi-output (MIMO) systems brings difficulties to the design of the controller. Aiming at this problem, this paper combines the particle swarm optimization (PSO) with the coefficient diagram method (CDM) and proposes a robust controller design strategy for the MIMO systems. The decoupling problem is transformed into a compensator parameter optimization problem, and PSO optimizes the compensator parameters to reduce the coupling effect in the MIMO systems. For the MIMO system with measurement noise, the effectiveness of CDM in processing measurement noise is analyzed. This paper gives the control design steps of the MIMO systems. Finally, simulation experiments of four typical MIMO systems demonstrate the effectiveness of the proposed method.

Highlights

  • Systems Using Coefficient DiagramMulti-input multi-output (MIMO) systems, defined as systems with multiple control inputs and outputs, are widely used in industrial systems

  • In order to make up for the shortcomings of existing research, this paper presents a design strategy of a robust controller based on coefficient diagram method (CDM), which provides a reference for the design of the multi-input multi-output (MIMO) system controller in other articles

  • The decoupling control and CDM controller design for the MIMO system can be summarized as the following steps

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Summary

Introduction

Multi-input multi-output (MIMO) systems, defined as systems with multiple control inputs and outputs, are widely used in industrial systems. At the same time, considering measurement noise can generate undesired control activity resulting in wear of actuators and reduced performance, this article analyzes the controller’s suppression effect on measurement noise based on the CDM. In order to make up for the shortcomings of existing research, this paper presents a design strategy of a robust controller based on CDM, which provides a reference for the design of the MIMO system controller in other articles. The rest of this article is organized as follows: Section 2 gives an interaction measurement of the coupling interaction and uses the PSO algorithm to design the compensator to achieve decoupling; Section 3 summarizes the design process of the CDM controller and analyzes the controller’s suppression effect on measurement noise based on the CDM.

Decoupling Design
Compensator Design
Interaction Measurement
Parameter Tuning of Compensator
CDM Controller Design and Measurement Noise Rejection
CDM Controller Design
Measurement Noise Rejection
Overall Design Ideas
Section 2
Simulation Experiment
Proposed Method
Conclusions
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