Optimization of controller design for Magnetic Levitation System by PSO, GSA and PSOGSA
The purpose of this paper is to design a PID controller by using PSO, GSA, and PSOGSA control techniques for MLS. A conventional PID control technique (tuned by Ziegler Nichols Method, ZN) is used to control the stability of the MLS. However, PID-ZN has the limitation usually produces a high value o...
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Springer Science and Business Media Deutschland GmbH
2022
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my.utm.1007492023-04-30T10:31:17Z http://eprints.utm.my/id/eprint/100749/ Optimization of controller design for Magnetic Levitation System by PSO, GSA and PSOGSA Othman, S. M. Zuo, W. W. Rustam, R. A. Rahmat, M. F. Saifizi, M. Hassan Basri, H. Ismail, A. H. Ayob, M. N. TK Electrical engineering. Electronics Nuclear engineering The purpose of this paper is to design a PID controller by using PSO, GSA, and PSOGSA control techniques for MLS. A conventional PID control technique (tuned by Ziegler Nichols Method, ZN) is used to control the stability of the MLS. However, PID-ZN has the limitation usually produces a high value of overshoot. Therefore, to achieve optimal performance, PSO, GSA, and PSOGSA are adopted for tuning the PID controller. Also, the arrangement between PID-PSO, PID-GSA, and PID-PSOGSA are compared to find the best control technique for the MLS. The result of this paper shows PID-PSOGSA has the best performance compared to PID-PSO, PID-GSA, and PID-ZN in terms of percentage overshoot, settling time, rise time, and sum square of error. Springer Science and Business Media Deutschland GmbH 2022 Book Section PeerReviewed Othman, S. M. and Zuo, W. W. and Rustam, R. A. and Rahmat, M. F. and Saifizi, M. and Hassan Basri, H. and Ismail, A. H. and Ayob, M. N. (2022) Optimization of controller design for Magnetic Levitation System by PSO, GSA and PSOGSA. In: Control, Instrumentation and Mechatronics: Theory and Practice. Lecture Notes in Electrical Engineering, 921 (NA). Springer Science and Business Media Deutschland GmbH, Singapore, pp. 509-519. ISBN 978-981193922-8 http://dx.doi.org/10.1007/978-981-19-3923-5_44 DOI:10.1007/978-981-19-3923-5_44 |
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TK Electrical engineering. Electronics Nuclear engineering Othman, S. M. Zuo, W. W. Rustam, R. A. Rahmat, M. F. Saifizi, M. Hassan Basri, H. Ismail, A. H. Ayob, M. N. Optimization of controller design for Magnetic Levitation System by PSO, GSA and PSOGSA |
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The purpose of this paper is to design a PID controller by using PSO, GSA, and PSOGSA control techniques for MLS. A conventional PID control technique (tuned by Ziegler Nichols Method, ZN) is used to control the stability of the MLS. However, PID-ZN has the limitation usually produces a high value of overshoot. Therefore, to achieve optimal performance, PSO, GSA, and PSOGSA are adopted for tuning the PID controller. Also, the arrangement between PID-PSO, PID-GSA, and PID-PSOGSA are compared to find the best control technique for the MLS. The result of this paper shows PID-PSOGSA has the best performance compared to PID-PSO, PID-GSA, and PID-ZN in terms of percentage overshoot, settling time, rise time, and sum square of error. |
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Book Section |
author |
Othman, S. M. Zuo, W. W. Rustam, R. A. Rahmat, M. F. Saifizi, M. Hassan Basri, H. Ismail, A. H. Ayob, M. N. |
author_facet |
Othman, S. M. Zuo, W. W. Rustam, R. A. Rahmat, M. F. Saifizi, M. Hassan Basri, H. Ismail, A. H. Ayob, M. N. |
author_sort |
Othman, S. M. |
title |
Optimization of controller design for Magnetic Levitation System by PSO, GSA and PSOGSA |
title_short |
Optimization of controller design for Magnetic Levitation System by PSO, GSA and PSOGSA |
title_full |
Optimization of controller design for Magnetic Levitation System by PSO, GSA and PSOGSA |
title_fullStr |
Optimization of controller design for Magnetic Levitation System by PSO, GSA and PSOGSA |
title_full_unstemmed |
Optimization of controller design for Magnetic Levitation System by PSO, GSA and PSOGSA |
title_sort |
optimization of controller design for magnetic levitation system by pso, gsa and psogsa |
publisher |
Springer Science and Business Media Deutschland GmbH |
publishDate |
2022 |
url |
http://eprints.utm.my/id/eprint/100749/ http://dx.doi.org/10.1007/978-981-19-3923-5_44 |
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1765296697838141440 |