Abstract

It is a challenge to design a satisfactory controller for a complex multivariable industrial system with minimal offsetting and a slow response. An internal model control method is proposed for rank-deficient systems with a time delay based on a damped pseudo-inverse. An internal model control was designed to obtain the desired dynamic characteristics of the system by transforming the time-delay system into a system without a time delay, following the Pade approximation approach. By introducing a damping factor, the internal model controller was designed based on a damped pseudo-inverse, since the inverse matrix of the rank-deficient system does not exist. Furthermore, a singular value decomposition was used to analyze the steady-state performance of the system. The selection of the damping factor was also presented, and a μ analysis was made to evaluate the stability of the system. To demonstrate the effectiveness of the proposed method, a crude distillation process with five inputs and four outputs was considered as an example. The simulation results illustrate that not only can the proposed strategy guarantee the system’s stability, but it also has a relatively good dynamic performance.

Highlights

  • Along with the rapid development of the industrial process, the controlled object models are becoming more and more complex

  • The method is obtained by first transforming the time-delay into a system without time delays by using the pole approximation approach

  • Different from our previous work [19], by introducing a damping factor here, the internal model controller is designed based on a damped pseudo-inverse, since the inverse matrix of the rank-deficient system does not exist

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Summary

Introduction

Along with the rapid development of the industrial process, the controlled object models are becoming more and more complex. As one of the advanced control arithmetics in process control, IMC has been shown to be a powerful method for the control of multivariable systems due to its good tracking performance and the robustness properties of the IMC structure, in which the controller implementation includes an explicit plant model in parallel with the plant [11]. It shows a strong advantage in the theoretical analysis of the control system stability and robustness, especially in the control of large time-delay systems, where the effect is significant. Due to its formation, it has been frequently applied in the process control with a slow response, but it has acquired a more superior effect than proportion integration differentiation (PID) in the motor control with a fast response

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