Error Recursion Reduction Computational Technique Based Control System Design for a Multivariable Process

Abstract

The optimization problem for multi-variable industrial high-efficiency control systems is to find the optimal parameters that could minimize the errors. In order to get such a stable control system, various control tuning methods were proposed by many researchers, but still, it is a challenge to get an effective controlled system. In this work, a method is proposed in order to attain a stable control system, called Error Recursion -Reduction Computational (ERRC) technique. Two processes, level, and flow are considered; their respective process models are identified and validated. The performance of the proposed technique has verified by implementing real-time transducers' interfaced experimental process. Results are compared with the conventional PID tuning technique and by optimization algorithms. The proposed experimental results show that better closed-loop performance can be achieved than other tuning techniques.

A Fractional Order Proportional-Integral-Derivative Controller for Series Continuous Stirred Tank Reactor System

“…Continuous stirred tank reactor (CSTR) is one of the common equipment for polymerization in chemical production. Featured by low cost, strong heat exchangeability, and stable product quality, the CSTR boasts wide application and great research value in chemical industry [9,10]. The reactions in the CSTR system are strongly nonlinear.…”