Data-driven PID controller of wind turbine systems using safe experimentation dynamics algorithm
The stochastic nature of wind speed and turbulence between turbines commonly stress wind turbines, emphasizing the importance of regulating rotor speed based on desired reference speed. Employing a PID-based controller is crucial for wind turbine system performance. Recent interest in optimizing PID...
| Main Authors: | , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2024
|
| Subjects: | |
| Online Access: | https://umpir.ump.edu.my/id/eprint/45400/ |
| _version_ | 1848827407539109888 |
|---|---|
| author | Islam, Muhammad Shafiqul Mohd Ashraf, Ahmad Mohd Riduwan, Ghazali Mohd Helmi, Suid Mohd Zaidi, Mohd Tumari |
| author_facet | Islam, Muhammad Shafiqul Mohd Ashraf, Ahmad Mohd Riduwan, Ghazali Mohd Helmi, Suid Mohd Zaidi, Mohd Tumari |
| author_sort | Islam, Muhammad Shafiqul |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | The stochastic nature of wind speed and turbulence between turbines commonly stress wind turbines, emphasizing the importance of regulating rotor speed based on desired reference speed. Employing a PID-based controller is crucial for wind turbine system performance. Recent interest in optimizing PID control parameters offers advantages in output response enhancement while preserving robustness and simplicity. However, existing optimization tools, especially those using multi-agent optimization, often entail a high computational burden due to a large number of function evaluations (NFE). This study presents a novel approach employing a safe experimentation dynamics algorithm (SEDA) to tune PID controllers in wind turbine systems. SEDA, a single-agent based optimization technique, requires only one function evaluation per iteration, alleviating computational burdens. Simulation analyses, encompassing convergence curves of the fitness function, time response specification analysis of step response, stability analysis using Bode plots, and computational effort analysis based on NFE, evaluate the effectiveness of the proposed SEDA-based PID controller for wind turbine systems Furthermore, the study reveals that the settling time (Ts) and percentage of overshoot (Mp) are notably low, measuring 1.27E-4s and 0%, respectively, compared to other algorithms. These results underscore the efficacy of the SEDA method in providing optimal PID control parameters while reducing computational burdens by 52% compared to other multi-agent optimization-based methods. |
| first_indexed | 2025-11-15T04:00:13Z |
| format | Conference or Workshop Item |
| id | ump-45400 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T04:00:13Z |
| publishDate | 2024 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-454002025-08-15T02:24:40Z https://umpir.ump.edu.my/id/eprint/45400/ Data-driven PID controller of wind turbine systems using safe experimentation dynamics algorithm Islam, Muhammad Shafiqul Mohd Ashraf, Ahmad Mohd Riduwan, Ghazali Mohd Helmi, Suid Mohd Zaidi, Mohd Tumari TK Electrical engineering. Electronics Nuclear engineering The stochastic nature of wind speed and turbulence between turbines commonly stress wind turbines, emphasizing the importance of regulating rotor speed based on desired reference speed. Employing a PID-based controller is crucial for wind turbine system performance. Recent interest in optimizing PID control parameters offers advantages in output response enhancement while preserving robustness and simplicity. However, existing optimization tools, especially those using multi-agent optimization, often entail a high computational burden due to a large number of function evaluations (NFE). This study presents a novel approach employing a safe experimentation dynamics algorithm (SEDA) to tune PID controllers in wind turbine systems. SEDA, a single-agent based optimization technique, requires only one function evaluation per iteration, alleviating computational burdens. Simulation analyses, encompassing convergence curves of the fitness function, time response specification analysis of step response, stability analysis using Bode plots, and computational effort analysis based on NFE, evaluate the effectiveness of the proposed SEDA-based PID controller for wind turbine systems Furthermore, the study reveals that the settling time (Ts) and percentage of overshoot (Mp) are notably low, measuring 1.27E-4s and 0%, respectively, compared to other algorithms. These results underscore the efficacy of the SEDA method in providing optimal PID control parameters while reducing computational burdens by 52% compared to other multi-agent optimization-based methods. IEEE 2024-08 Conference or Workshop Item PeerReviewed pdf en https://umpir.ump.edu.my/id/eprint/45400/1/Data-driven%20PID%20controller%20of%20wind%20turbine%20systems.pdf Islam, Muhammad Shafiqul and Mohd Ashraf, Ahmad and Mohd Riduwan, Ghazali and Mohd Helmi, Suid and Mohd Zaidi, Mohd Tumari (2024) Data-driven PID controller of wind turbine systems using safe experimentation dynamics algorithm. In: 2024 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2024 , 6 - 7 July 2024 , Kuala Lumpur. pp. 1-5.. ISBN 979-835038686-8 (Published) https://doi.org/10.1109/ISIEA61920.2024.10607295 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Islam, Muhammad Shafiqul Mohd Ashraf, Ahmad Mohd Riduwan, Ghazali Mohd Helmi, Suid Mohd Zaidi, Mohd Tumari Data-driven PID controller of wind turbine systems using safe experimentation dynamics algorithm |
| title | Data-driven PID controller of wind turbine systems using safe experimentation dynamics algorithm |
| title_full | Data-driven PID controller of wind turbine systems using safe experimentation dynamics algorithm |
| title_fullStr | Data-driven PID controller of wind turbine systems using safe experimentation dynamics algorithm |
| title_full_unstemmed | Data-driven PID controller of wind turbine systems using safe experimentation dynamics algorithm |
| title_short | Data-driven PID controller of wind turbine systems using safe experimentation dynamics algorithm |
| title_sort | data-driven pid controller of wind turbine systems using safe experimentation dynamics algorithm |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | https://umpir.ump.edu.my/id/eprint/45400/ https://umpir.ump.edu.my/id/eprint/45400/ |