Dynamic Matrix Control and Tuning Parameters Analysis for a DC Motor System Control

L Bitjoka,J M Nyobe Yome,M Ndje,J C Kamgang,A T Boum

doi:10.48084/etasr.2300

Abstract

Model predictive control (MPC) in system control industry overrides the challenges of conventional controllers in controlling complex systems. However, for efficient control, it is essential to find the best combination of parameter values. In this paper, we present the implementation of a multivariable dynamic matrix control (DMC) algorithm. An industrial system consisting of a DC motor, coupled to a mechanical load, the assembly associated with an electronic speed variator was considered to test the implemented DMC controller. DMC’s tuning parameter analysis on the manipulated inputs and their variations on the controlled outputs was performed. Results guarantee that efficient control was presented.

Highlights

Advances in the system control industry have led engineers to develop robust controllers with higher performance than conventional ones (LQR, IMC, PID) [1,2,3]
dynamic matrix control (DMC) is a subset of the Model predictive control (MPC) algorithms that refers to a class of computer control algorithms that use an explicit process model to predict the future response of a system [4, 5]
DMC [14] is part of the first generation of MPC, consisting of algorithms that provide a systematic means of controlling systems more efficiently while count multivariable cases, for which the step responses of the system are used as a predictive model [4, 15]

Summary

INTRODUCTION

Advances in the system control industry have led engineers to develop robust controllers with higher performance than conventional ones (LQR, IMC, PID) [1,2,3]. DMC is a subset of the MPC algorithms that refers to a class of computer control algorithms that use an explicit process model to predict the future response of a system [4, 5]. The ability of this controller to drive multivariable, non-linear and constrained systems, and its ease of tuning gives it a prominent place in industrial processes [6,7,8,9].

DMC ALGORITHM

ANALYSIS OF DMC TUNING PARAMETERS

DMC CONTROLLER RESULTS IN RESPONSE TO AN

CONCLUSIONS