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Optimized PID controller of a laboratory-scaled water distribution system via swarm intelligence techniques

Kosmani, Nur Fathen Amira and Ting, Rickey Pek Eek and Sahlan, Shafishuhaza and Robert, Max Alexander and Jonquil, Casson and Low, Jun Yi and Hasnu Al Hadi, Anis Nadiah Husna and Anuar, Aiman Najmi and Rosli, Khairul Ijlal and Ab. Rahim, Mohd. Fadzil and Ishak, Mohamad Hafis Izran and Abdul Manaf, Mohamad Shukri (2022) Optimized PID controller of a laboratory-scaled water distribution system via swarm intelligence techniques. In: 3rd International Conference on Control, Instrumentation and Mechatronics Engineering, CIM 2022, 2 March 2022 - 3 March 2022, Virtual, Online.

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Official URL: http://dx.doi.org/10.1007/978-981-19-3923-5_42

Abstract

In this paper, an off-line optimized PID controller algorithm, utilizing swarm intelligence is developed, for a laboratory-scaled water distribution system. The swarm intelligence optimization techniques are simulated in MATLAB and Simulink Tools. The two techniques used are Particle Swarm Intelligence (PSO) and Grey Wolf Optimization (GWO). An efficient controller produces a better system, i.e. the attainment of optimized level of the reservoir tank of the system in meeting customers demand. Hence by implementing the optimization techniques, the performance of the PID-controller, is improved, by generating the optimal values of the PID parameters, thus improving the system’s performance. When the optimized parameters are applied to the system, output response of the system using PSO and GWO are compared and analyzed. From the results obtained, it can be observed that GWO produces better results than PSO, specifically in the reduction of the system performance’s overshoot.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Grey Wolf Optimization, Particle Swarm Optimization, PID controller, swarm intelligence, water distribution system
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Faculty of Engineering - School of Electrical
ID Code:100750
Deposited By: Yanti Mohd Shah
Deposited On:07 May 2023 06:08
Last Modified:07 May 2023 06:08

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