Development of adaptive fuzzy PID controller integrated with slide mode control for brushless direct current motors

The relationship between magnetic flux and speed in a BLDC motor is complex and will show different trends under different control methods. Add the gap, other research has been done but still this issue is there. This study focuses on analyzing the relationship between magnetic flux and speed in a B...

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Main Authors: Dai, Xinyue, Mohamad Nordin, Norjulia, Afrouzi, Hadi Nabipour, Chen, Rui Geach, Wang, Xingye, Tavalaei, Jalal
Format: Conference or Workshop Item
Published: 2023
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Online Access:http://eprints.utm.my/107671/
http://dx.doi.org/10.1109/CENCON58932.2023.10369562
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spelling my.utm.1076712024-09-25T07:48:00Z http://eprints.utm.my/107671/ Development of adaptive fuzzy PID controller integrated with slide mode control for brushless direct current motors Dai, Xinyue Mohamad Nordin, Norjulia Afrouzi, Hadi Nabipour Chen, Rui Geach Wang, Xingye Tavalaei, Jalal TK Electrical engineering. Electronics Nuclear engineering The relationship between magnetic flux and speed in a BLDC motor is complex and will show different trends under different control methods. Add the gap, other research has been done but still this issue is there. This study focuses on analyzing the relationship between magnetic flux and speed in a BLDC motor, using a proportional-integral-derivative (PID) control system with the inner loop acting as the current outer loop, investigating the performance of the fuzzy controller, and using three control methods, the traditional PID control, fuzzy PID control and adaptive PID control. The simulation uses the BLDC to simulate at 30%, 50%, and 100% of the rated speed, and verifies that the system can adjust the PID parameters in different situations and different control modes. At the same time, since harmonic distortion will be generated in the circuit, an adaptive filter is introduced, which acts as an integral filter at the operating frequency while suppressing other frequency components to balance control performance and stability. The experimental results show that the adaptive fuzzy control can reach a desired output state faster in only 0.665s, while the fuzzy PID control needs 0.693s, and the traditional fuzzy PID needs 0.696s. It can be proved that the traditional PID parameters are difficult to adjust, and it is difficult to achieve the best effect of magnetic flux and speed. On top of that, the optimized adaptive fuzzy PID controller has faster response speed, smaller overshoot, higher control precision, and can control the motor speed output more effectively. 2023 Conference or Workshop Item PeerReviewed Dai, Xinyue and Mohamad Nordin, Norjulia and Afrouzi, Hadi Nabipour and Chen, Rui Geach and Wang, Xingye and Tavalaei, Jalal (2023) Development of adaptive fuzzy PID controller integrated with slide mode control for brushless direct current motors. In: 2023 IEEE Conference on Energy Conversion (CENCON), 23 October 2023-24 October 2023, Kuching, Malaysia. http://dx.doi.org/10.1109/CENCON58932.2023.10369562
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Dai, Xinyue
Mohamad Nordin, Norjulia
Afrouzi, Hadi Nabipour
Chen, Rui Geach
Wang, Xingye
Tavalaei, Jalal
Development of adaptive fuzzy PID controller integrated with slide mode control for brushless direct current motors
description The relationship between magnetic flux and speed in a BLDC motor is complex and will show different trends under different control methods. Add the gap, other research has been done but still this issue is there. This study focuses on analyzing the relationship between magnetic flux and speed in a BLDC motor, using a proportional-integral-derivative (PID) control system with the inner loop acting as the current outer loop, investigating the performance of the fuzzy controller, and using three control methods, the traditional PID control, fuzzy PID control and adaptive PID control. The simulation uses the BLDC to simulate at 30%, 50%, and 100% of the rated speed, and verifies that the system can adjust the PID parameters in different situations and different control modes. At the same time, since harmonic distortion will be generated in the circuit, an adaptive filter is introduced, which acts as an integral filter at the operating frequency while suppressing other frequency components to balance control performance and stability. The experimental results show that the adaptive fuzzy control can reach a desired output state faster in only 0.665s, while the fuzzy PID control needs 0.693s, and the traditional fuzzy PID needs 0.696s. It can be proved that the traditional PID parameters are difficult to adjust, and it is difficult to achieve the best effect of magnetic flux and speed. On top of that, the optimized adaptive fuzzy PID controller has faster response speed, smaller overshoot, higher control precision, and can control the motor speed output more effectively.
format Conference or Workshop Item
author Dai, Xinyue
Mohamad Nordin, Norjulia
Afrouzi, Hadi Nabipour
Chen, Rui Geach
Wang, Xingye
Tavalaei, Jalal
author_facet Dai, Xinyue
Mohamad Nordin, Norjulia
Afrouzi, Hadi Nabipour
Chen, Rui Geach
Wang, Xingye
Tavalaei, Jalal
author_sort Dai, Xinyue
title Development of adaptive fuzzy PID controller integrated with slide mode control for brushless direct current motors
title_short Development of adaptive fuzzy PID controller integrated with slide mode control for brushless direct current motors
title_full Development of adaptive fuzzy PID controller integrated with slide mode control for brushless direct current motors
title_fullStr Development of adaptive fuzzy PID controller integrated with slide mode control for brushless direct current motors
title_full_unstemmed Development of adaptive fuzzy PID controller integrated with slide mode control for brushless direct current motors
title_sort development of adaptive fuzzy pid controller integrated with slide mode control for brushless direct current motors
publishDate 2023
url http://eprints.utm.my/107671/
http://dx.doi.org/10.1109/CENCON58932.2023.10369562
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score 13.209306