Jamil, Imran Arif Abdul and Moghavvemi, Mahmoud (2021) Optimization of PID controller tuning method using evolutionary algorithms. In: 3rd IEEE International Virtual Conference on Innovations in Power and Advanced Computing Technologies, i-PACT 2021, 27 November 2021, Virtual, Online.
Full text not available from this repository.Abstract
PID controllers are vital in the control for many systems such as suspension systems, Automatic Voltage Regulators (AVR), Self-Stabilizing Systems as well as DC motor speed control. Proper tuning of the PID controller will ensure desired performance is achieved with any application. In this study, the proportional-integral-derivative (PID) controller will be tuned with several methods, including heuristic methods such as Trial and Error (TE), Ziegler Nichols (ZN) as well as Evolutionary Algorithms such as the Genetic Algorithm (GA) and the Particle Swarm Optimization (PSO) for DC Motor speed control. This paper will first determine the most optimized form of the Evolutionary Algorithms such as GA and PSO by determining the optimized parameters for both algorithms. Comparison between all tuning techniques will then be conducted. The performance between each method will be quantified by analyzing the transient response parameters such as Overshoot, Settling Time, Rising Time, and Steady State Error. From the simulations, the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are superior compared to the Trial and Error (TE) and the Ziegler Nichols method (ZN). However, the Particle Swarm Optimization (PSO) performed better in optimizing the PID constants at a faster rate compared to Genetic Algorithm (GA). © 2021 IEEE.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Funders: | None |
| Uncontrolled Keywords: | Controllers; DC motors; Electric machine control; Errors; Particle swarm optimization (PSO); Proportional control systems; Speed control; Suspensions (components); Suspensions (fluids); Three term control systems; Transient analysis; Two term control systems; Voltage regulators, Controller tuning; D.C. motors; Genetic algorithm and particle swarm optimizations; Motor-speed control; Optimisations; Performance; Proportional-integral-derivatives controllers; Suspension system; Trial and error; Tuning method, Genetic algorithms |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering > Department of Electrical Engineering |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 28 Oct 2024 03:06 |
| Last Modified: | 28 Oct 2024 03:06 |
| URI: | http://eprints.um.edu.my/id/eprint/36124 |
Actions (login required)
 |
View Item |
