Open Access

ARTICLE

Temperature Control Design with Differential Evolution Based Improved Adaptive-Fuzzy-PID Techniques

by Prabhu Kaliappan^1,*, Aravindguru Ilangovan², Sivachitra Muthusamy³, Banumathi Sembanan⁴

1 Department of Electronics and Instrumentation Engineering, Kongu Engineering College, Erode, Tamilnadu, 638060, India
2 Department of Electronics and Instrumentation Engineering, Sri Ramakrishna Engineering College, Coimbatore, Tamilnadu, 641022, India
3 Department of Electrical and Electronics Enginnering, Kongu Engineering College, Erode, Tamilnadu, 638060, India
4 Department of Electrical and Electronics Engineering, M. Kumarasamy College of Engineering, Karur, 639113, Tamilnadu, India

* Corresponding Author: Prabhu Kaliappan. Email:

Intelligent Automation & Soft Computing 2023, 36(1), 781-801. https://doi.org/10.32604/iasc.2023.030047

Received 17 March 2022; Accepted 26 April 2022; Issue published 29 September 2022

Abstract

This paper presents the design and performance analysis of Differential Evolution (DE) algorithm based Proportional-Integral-Derivative (PID) controller for temperature control of Continuous Stirred Tank Reactor (CSTR) plant in chemical industries. The proposed work deals about the design of Differential Evolution (DE) algorithm in order to improve the performance of CSTR. In this, the process is controlled by controlling the temperature of the liquid through manipulation of the coolant flow rate with the help of modified Model Reference Adaptive Controller (MRAC). The transient response of temperature process is improved by using PID Controller, Differential Evolution Algorithm based PID and fuzzy based DE controller. Finally, the temperature response is compared with experimental results of CSTR.

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