A new design of fractional-order dynamic matrix control with proportional–integral–derivative-type structure

Dawei Wang,Jili Tao,Hongbo Zou

doi:10.1177/0020294019843939

Abstract

Most dynamic systems in practice are of fractional order and often the models using fractional-order equations can grasp their intrinsic properties with more accuracy compared with conventional differential equations. In this paper, a fractional-order modeling-based proportional–integral–derivative-type dynamic matrix control is developed and tested on a typical industrial heating furnace system with fractional-order dynamics. The Oustaloup approximation method is first adopted to obtain the model approximation of the processes, which paves the way for the application of integer order dynamic matrix control to the fractional-order systems. Meanwhile, a set of proportional–integral–derivative-type operators are introduced in the cost function to further optimize the dynamic matrix control in terms of tracking and disturbance-rejection performance. The resulting controller bears both the merits of the dynamic matrix control and the proportional–integral–derivative, and thus improved control performance is obtained. In addition, an industrial heating furnace process system is given to test the performance of the proposed method in comparison with traditional integer order model-based dynamic matrix control, and results show that the proposed method gives improved system performance.

Highlights

For industrial processes, proportional–integral–derivative (PID) control and model predictive control (MPC) are the most widely used control technologies and a lot of progress has been achieved
Dynamic matrix control (DMC) is a typical MPC that was first proposed by Culter et al.[1] in 1980
DMC is effective in the control applications of industrial processes with strong coupling, nonlinearity, large time delay, and so on.[4,5,6]

Summary

Introduction

Proportional–integral–derivative (PID) control and model predictive control (MPC) are the most widely used control technologies and a lot of progress has been achieved. Research on extending the control method of the integer order model-based control theory to fractional-order systems is a meaningful job. Existing research focusing on the fractional-order model-based controller design has been reported in Ozbay et al.[25] Rhouma et al.[26,27] proposed a MPC for fractional-order systems in which the numerical and Oustaloup approximation were used for output prediction. Vmager et al.[30] studied a fractional-order model reference adaptive control scheme that improves the dynamic closed-loop system performance.

Results

Conclusion