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Research Article

Fractional PID with Genetic Algorithm Approach for Industrial Tank Level Control Process

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Received 29 Jun 2023, Accepted 30 Jan 2024, Published online: 25 Feb 2024
 

Abstract

Process control is used in various types of industries to boost production while using current resources, product quality, and safety, with level control being one of the most important schemes. It is suggested that study be conducted on nonlinear continuous processes, particularly in process control applications such as conical tank level control. Initially, each process receives one set of Proportional-Integral (PI) controller settings and a First Order Plus Dead-Time (FOPDT) model using the Ziegler Nicholas (ZN) step response tuning method. The numerous FOPDT models and parameter sets are also obtained. Responses obtained with a single set of parameters and responses obtained with many sets of parameters are compared. By creating a Fractional PID Controller (FPID) with Genetic Algorithm (GA), a simulation-based tuning strategy is proposed. The step responses are acquired through experimental research using fine-tuned settings. At most operational points, the Fractional PID Controller with Genetic Algorithm-based tuning approach outperforms, with lowest oscillation, extremely tiny overshoot, minimum average ISE, and minimum average IAE. The proposed FPID with GA method provides better setpoint and regulatory tracking performance compared to ZN-PID.

AUTHORS’ CONTRIBUTIONS

All authors are contributed equally to this work.

DATA AVAILABILITY STATEMENT

Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the author(s).

ETHICS APPROVAL AND CONSENT TO PARTICIPATE

No participation of humans takes place in this implementation process.

HUMAN AND ANIMAL RIGHTS

No violation of Human and Animal Rights is involved.

Additional information

Funding

No funding is involved in this work.

Notes on contributors

R. Kiruba

R. Kiruba has completed her Under Graduation from Bannari Amman Institute of Technology in 2011 and Masters in Control and Instrumentation Engineering from Kongu Engineering College in 2013 and Pursuing Ph.D. in Process Modeling, controller design and optimization using Machine Learning Techniques. She started her teaching profession in the year 2013 as an Assistant professor in the Department of Electronics and Instrumentation Engineering, Dr. Mahalingam College of Engineering and Technology, joined as Assistant Professor in the Department of Electronics and Instrumentation Engineering, SNS College of Technology, Coimbatore. She is currently working as Assistant Professor in the Department of Electronics and Instrumentation Engineering at Sri Ramakrishna Engineering College. She has 5 years of experience in Teaching. Her areas of Specialization are Process Control and Instrumentation and System Identification. She has published research papers in both National and International Journals. Her Citation Index in journals is 10 and h-Index is 2. She is a Life Member of Indian Society for Technical Education and Instrument Society of India. Email: [email protected].

K. Malarvizhi

K. Malarvizhi is presently Professor & Head in the Department of Electrical & Electronics Engineering, Kumaraguru college of Technology, affiliated to Anna University-Chennai, Tamilnadu, India. She received her M.E and Ph.D degree from Anna University, Chennai. Her research interests include Electrical Machines, Control systems, Power quality, Power electronics applications to Power systems and Electric Vehicle. In particular, she is currently working in a research group focusing on battery management system and its challenges in Electric Vehicles. She published more than 40 papers in refereed international journals and 25 papers in conferences, authored 2 book chapters, reviewer for reputed journals and has been involved in many international conferences as Technical Chair and tutorial presenter. She is an active member of IST E, SSI and IAENG. Email: [email protected].

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