Technical gazette, Vol. 28 No. 4, 2021.
Original scientific paper
https://doi.org/10.17559/TV-20210318100642
A Fractional Order Proportional-Integral-Derivative Controller for Series Continuous Stirred Tank Reactor System
Yang Wang
; Chemical Engineering Institute, Yangzhou Polytechnic Institute, Yangzhou 225127, China
Dongjin Xu*
; Unconventional Hubei Province Collaborative Innovation Center, Yangtze University, Wuhan 430100, China The Branch of Key Laboratory China; National Petroleum Corporation for Oil and Gas Production, Yangtze University, Jingzhou 434023, China
Huan Yang
; Department of Petroleum Engineering, College of Engineering and Applied Science, University of Wyoming, Laramie, WY 82071-2000, USA
Changwu Zhu
; Chemical Engineering Institute, Yangzhou Polytechnic Institute, Yangzhou 225127, China
Abstract
For series continuous stirred tank reactor system (CSTR), it is a complex problem to finetune the fractional order proportional-integral-derivative controller (FOPID). To solve the problem, this paper presents a parameter tuning method based on intelligent optimization genetic algorithm (GA) and integral time absolute error (ITAE). Firstly, the series CSTR system was mathematically modelled by vectorized modules, and an FOPID control system was established. Meanwhile, the intelligent optimization GA was introduced under the ITAE rule, and the empirical PID control parameters were taken as the initial values for iteration, aiming to enhance the effect of the search for optimal solution. To verify its superiority, the FOPID controller optimized by GA was compared with intelligent optimization GA and empirical PID controller through simulation. The results show that the optimized FOPID system achieved much better control effect and stronger anti-interference performance than the contrastive methods.
Keywords
continuous stirred tank reactor (CSTR); fractional order proportional-integral-derivative controller (FOPID); genetic algorithm (GA); integrated time and absolute error (ITAE)
Hrčak ID:
260850
URI
Publication date:
22.7.2021.
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