Semi-active suspension system using mr damper with particle swarm optimization skyhook controller
This paper introduces the use of Particle Swarm Optimization (PSO) algorithm to tune Skyhook controller & Sensitivity Analysis method to tune PID controller for semi-active suspension system in furtherance of increasing and enhancing the ride comfort and vehicle stability. The performance of sky...
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my.utm.835942019-10-29T00:49:38Z http://eprints.utm.my/id/eprint/83594/ Semi-active suspension system using mr damper with particle swarm optimization skyhook controller Mat Darus, Intan Zaurah Ab. Talib, Mat Hussin Mohd. Yamin, Ahmad Hafizal Mohd. Nor, Nur Safwati TJ Mechanical engineering and machinery This paper introduces the use of Particle Swarm Optimization (PSO) algorithm to tune Skyhook controller & Sensitivity Analysis method to tune PID controller for semi-active suspension system in furtherance of increasing and enhancing the ride comfort and vehicle stability. The performance of skyhook and PID controller are optimized by PSO and Sensitivity Analysis respectively. The mean square error (MSE) of the system is set as an objective function for optimization process of the proposed controller. The performances of proposed controllers are compared with the passive system in terms of sprung displacement & sprung acceleration. The bump & hole and random road profile is set as a disturbance of the system. The simulated results reflect that the proposed controllers offer a significant improvement in ride comfort and vehicle stability. 2018 Conference or Workshop Item PeerReviewed Mat Darus, Intan Zaurah and Ab. Talib, Mat Hussin and Mohd. Yamin, Ahmad Hafizal and Mohd. Nor, Nur Safwati (2018) Semi-active suspension system using mr damper with particle swarm optimization skyhook controller. In: Intelligent Control and Automation Proceedings (ICAS 2018), 2018. |
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TJ Mechanical engineering and machinery Mat Darus, Intan Zaurah Ab. Talib, Mat Hussin Mohd. Yamin, Ahmad Hafizal Mohd. Nor, Nur Safwati Semi-active suspension system using mr damper with particle swarm optimization skyhook controller |
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This paper introduces the use of Particle Swarm Optimization (PSO) algorithm to tune Skyhook controller & Sensitivity Analysis method to tune PID controller for semi-active suspension system in furtherance of increasing and enhancing the ride comfort and vehicle stability. The performance of skyhook and PID controller are optimized by PSO and Sensitivity Analysis respectively. The mean square error (MSE) of the system is set as an objective function for optimization process of the proposed controller. The performances of proposed controllers are compared with the passive system in terms of sprung displacement & sprung acceleration. The bump & hole and random road profile is set as a disturbance of the system. The simulated results reflect that the proposed controllers offer a significant improvement in ride comfort and vehicle stability. |
format |
Conference or Workshop Item |
author |
Mat Darus, Intan Zaurah Ab. Talib, Mat Hussin Mohd. Yamin, Ahmad Hafizal Mohd. Nor, Nur Safwati |
author_facet |
Mat Darus, Intan Zaurah Ab. Talib, Mat Hussin Mohd. Yamin, Ahmad Hafizal Mohd. Nor, Nur Safwati |
author_sort |
Mat Darus, Intan Zaurah |
title |
Semi-active suspension system using mr damper with particle swarm optimization skyhook controller |
title_short |
Semi-active suspension system using mr damper with particle swarm optimization skyhook controller |
title_full |
Semi-active suspension system using mr damper with particle swarm optimization skyhook controller |
title_fullStr |
Semi-active suspension system using mr damper with particle swarm optimization skyhook controller |
title_full_unstemmed |
Semi-active suspension system using mr damper with particle swarm optimization skyhook controller |
title_sort |
semi-active suspension system using mr damper with particle swarm optimization skyhook controller |
publishDate |
2018 |
url |
http://eprints.utm.my/id/eprint/83594/ |
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1651866726547062784 |
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13.160551 |