Intelligent pid controller with cuckoo search algorithm and particle swarm optimisation for semi-active suspension system using magneto-rheological damper
This article presents the employment of Cuckoo Search (CS) Algorithm to tune a Proportional Integral Derivative (PID) controller for a semi-active suspension system in order to improve and enhance ride comfort and stability in a vehicle. In the meantime, the Cuckoo Search Algorithm has been compared...
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my.utm.1026862023-09-18T03:50:18Z http://eprints.utm.my/id/eprint/102686/ Intelligent pid controller with cuckoo search algorithm and particle swarm optimisation for semi-active suspension system using magneto-rheological damper Mohd Yamin, Ahmad H. Mat Darus, Intan Z. Mohd. Nor, Nur S. Ab. Talib, Mat H. TJ Mechanical engineering and machinery This article presents the employment of Cuckoo Search (CS) Algorithm to tune a Proportional Integral Derivative (PID) controller for a semi-active suspension system in order to improve and enhance ride comfort and stability in a vehicle. In the meantime, the Cuckoo Search Algorithm has been compared between existing intelligent approaches such as Particle Swarm Optimisation (PSO) and passive system. The performances of the Proportional Integral Derivative controller have been optimised via Cuckoo Search Algorithm and Particle Swarm Optimisation, respectively. The mean square error for the suspension system has been determined as an objective function for the proposed controller's optimisation. The performance of the proposed PID-CS controller has been compared to existing PID-PSO controller and passive system in terms of body acceleration and body displacement. The bump and hole together with random road profile have been set as the source of disturbance for the system. The simulated results have demonstrated that the PID-CS controller has been able to improve significantly ride comfort between 14-16% in terms of mean square error for both body displacement and body acceleration. Praise Worthy Prize 2022 Article PeerReviewed Mohd Yamin, Ahmad H. and Mat Darus, Intan Z. and Mohd. Nor, Nur S. and Ab. Talib, Mat H. (2022) Intelligent pid controller with cuckoo search algorithm and particle swarm optimisation for semi-active suspension system using magneto-rheological damper. International Review of Mechanical Engineering, 16 (3). pp. 154-162. ISSN 1970-8734 (Unpublished) http://dx.doi.org/10.15866/ireme.v16i3.20216 DOI: 10.15866/ireme.v16i3.20216 |
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TJ Mechanical engineering and machinery Mohd Yamin, Ahmad H. Mat Darus, Intan Z. Mohd. Nor, Nur S. Ab. Talib, Mat H. Intelligent pid controller with cuckoo search algorithm and particle swarm optimisation for semi-active suspension system using magneto-rheological damper |
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This article presents the employment of Cuckoo Search (CS) Algorithm to tune a Proportional Integral Derivative (PID) controller for a semi-active suspension system in order to improve and enhance ride comfort and stability in a vehicle. In the meantime, the Cuckoo Search Algorithm has been compared between existing intelligent approaches such as Particle Swarm Optimisation (PSO) and passive system. The performances of the Proportional Integral Derivative controller have been optimised via Cuckoo Search Algorithm and Particle Swarm Optimisation, respectively. The mean square error for the suspension system has been determined as an objective function for the proposed controller's optimisation. The performance of the proposed PID-CS controller has been compared to existing PID-PSO controller and passive system in terms of body acceleration and body displacement. The bump and hole together with random road profile have been set as the source of disturbance for the system. The simulated results have demonstrated that the PID-CS controller has been able to improve significantly ride comfort between 14-16% in terms of mean square error for both body displacement and body acceleration. |
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Article |
author |
Mohd Yamin, Ahmad H. Mat Darus, Intan Z. Mohd. Nor, Nur S. Ab. Talib, Mat H. |
author_facet |
Mohd Yamin, Ahmad H. Mat Darus, Intan Z. Mohd. Nor, Nur S. Ab. Talib, Mat H. |
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Mohd Yamin, Ahmad H. |
title |
Intelligent pid controller with cuckoo search algorithm and particle swarm optimisation for semi-active suspension system using magneto-rheological damper |
title_short |
Intelligent pid controller with cuckoo search algorithm and particle swarm optimisation for semi-active suspension system using magneto-rheological damper |
title_full |
Intelligent pid controller with cuckoo search algorithm and particle swarm optimisation for semi-active suspension system using magneto-rheological damper |
title_fullStr |
Intelligent pid controller with cuckoo search algorithm and particle swarm optimisation for semi-active suspension system using magneto-rheological damper |
title_full_unstemmed |
Intelligent pid controller with cuckoo search algorithm and particle swarm optimisation for semi-active suspension system using magneto-rheological damper |
title_sort |
intelligent pid controller with cuckoo search algorithm and particle swarm optimisation for semi-active suspension system using magneto-rheological damper |
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Praise Worthy Prize |
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2022 |
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http://eprints.utm.my/id/eprint/102686/ http://dx.doi.org/10.15866/ireme.v16i3.20216 |
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