Mohd Zaidi, Mohd Tumari and Amar Faiz, Zainal Abidin and A Shamsul Rahimi, A Subki and Ab Wafi, Ab Aziz and Mohd Ashraf, Ahmad and Mohd Riduwan, Ghazali (2019) PSO fined-tuned model-free PID controller with derivative filter for buck-converter driven DC motor. International Journal of Recent Technology and Engineering, 8 (3S). pp. 1-5. ISSN 2277-3878. (Published)
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Abstract
Traditionally, the PID controller parameters are tuned heuristically based on time response behavior of the system. This method is tiresome job and can cause undesirable system response. Therefore, this research suggests the tuning method of a model-free PID controller with derivative filter (PIDF) by implementing Particle Swarm Optimization (PSO). This tuning method is applied to buck-converter driven DC motor control. The speed of DC motor is controlled by PIDF controller. The parameters of PIDF controller are fine-tuned by implementing PSO algorithms. The fitness functions of the algorithm are evaluated based on Sum Square Error (SSE) and Sum Absolute Error (SAE). The state-space representation of buck-converter/DC motor is considered to confirm the design of the control method. The results of the proposed tuning method are compared with PI controller and PIDF controller tuned by PID Tuner Simulink. The time response specifications of angular velocity, armature current and duty cycle input energy are considered as a control scheme performance. Finally, the suggested tuning technique promises a very minimum duty cycle energy and a fast input tracking of DC motor angular velocity.
| Item Type: | Article |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Buck-converter driven DC motor; Derivative filter; PID tuning; PSO |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering |
| Depositing User: | Mrs Norsaini Abdul Samat |
| Date Deposited: | 19 Mar 2020 02:11 |
| Last Modified: | 19 Mar 2020 02:11 |
| URI: | http://umpir.ump.edu.my/id/eprint/26808 |
| Download Statistic: | View Download Statistics |
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