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

Prabhu Kaliappan1,*, Aravindaguru 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: email

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

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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APA Style
Kaliappan, P., Ilangovan, A., Muthusamy, S., Sembanan, B. (2023). Temperature control design with differential evolution based improved adaptive-fuzzy-pid techniques. Intelligent Automation & Soft Computing, 36(1), 781-801. https://doi.org/10.32604/iasc.2023.030047
Vancouver Style
Kaliappan P, Ilangovan A, Muthusamy S, Sembanan B. Temperature control design with differential evolution based improved adaptive-fuzzy-pid techniques. Intell Automat Soft Comput . 2023;36(1):781-801 https://doi.org/10.32604/iasc.2023.030047
IEEE Style
P. Kaliappan, A. Ilangovan, S. Muthusamy, and B. Sembanan "Temperature Control Design with Differential Evolution Based Improved Adaptive-Fuzzy-PID Techniques," Intell. Automat. Soft Comput. , vol. 36, no. 1, pp. 781-801. 2023. https://doi.org/10.32604/iasc.2023.030047



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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