The Parameters Design and Simulation in ABS Controlled System Based on PSO Algorithm

碩士 === 中華科技大學 === 電子工程研究所碩士班 === 99 === The research will focus on the parameters design of anti-lock brake system (ABS) in motorcycle YAMAHA YP250A. The action of ABS is based on P-R control rule proposed by Guntur. It pointed out that the boundary parameters of control variables are composed o...

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Bibliographic Details
Main Authors:	Zhou, Junhan, 周君翰
Other Authors:	Lin, Yinghao
Format:	Others
Language:	zh-TW
Published:	2011
Online Access:	http://ndltd.ncl.edu.tw/handle/47365042260987160867

id	ndltd-TW-099CHIT0427034
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spelling	ndltd-TW-099CHIT04270342015-10-13T20:04:04Z http://ndltd.ncl.edu.tw/handle/47365042260987160867 The Parameters Design and Simulation in ABS Controlled System Based on PSO Algorithm 基於粒子群最佳化演算法之ABS控制系統參數與模擬 Zhou, Junhan 周君翰碩士中華科技大學電子工程研究所碩士班 99 The research will focus on the parameters design of anti-lock brake system (ABS) in motorcycle YAMAHA YP250A. The action of ABS is based on P-R control rule proposed by Guntur. It pointed out that the boundary parameters of control variables are composed of angular, angular velocity and angular acceleration. Hence, there is not necessary to measure the speed of vehicle. A key attractive feature of the particle swarm optimization (PSO) approach is its simplicity as it involves only two model equations. In this paper, the algorithm of particle swarm optimization is proposed to find the best values of boundary parameters in P-R control rule, so that the best braking and controlling performance can be achieved Lin, Yinghao 林盈灝 2011 學位論文 ; thesis 41 zh-TW
collection	NDLTD
language	zh-TW
format	Others
sources	NDLTD
description	碩士 === 中華科技大學 === 電子工程研究所碩士班 === 99 === The research will focus on the parameters design of anti-lock brake system (ABS) in motorcycle YAMAHA YP250A. The action of ABS is based on P-R control rule proposed by Guntur. It pointed out that the boundary parameters of control variables are composed of angular, angular velocity and angular acceleration. Hence, there is not necessary to measure the speed of vehicle. A key attractive feature of the particle swarm optimization (PSO) approach is its simplicity as it involves only two model equations. In this paper, the algorithm of particle swarm optimization is proposed to find the best values of boundary parameters in P-R control rule, so that the best braking and controlling performance can be achieved
author2	Lin, Yinghao
author_facet	Lin, Yinghao Zhou, Junhan 周君翰
author	Zhou, Junhan 周君翰
spellingShingle	Zhou, Junhan 周君翰 The Parameters Design and Simulation in ABS Controlled System Based on PSO Algorithm
author_sort	Zhou, Junhan
title	The Parameters Design and Simulation in ABS Controlled System Based on PSO Algorithm
title_short	The Parameters Design and Simulation in ABS Controlled System Based on PSO Algorithm
title_full	The Parameters Design and Simulation in ABS Controlled System Based on PSO Algorithm
title_fullStr	The Parameters Design and Simulation in ABS Controlled System Based on PSO Algorithm
title_full_unstemmed	The Parameters Design and Simulation in ABS Controlled System Based on PSO Algorithm
title_sort	parameters design and simulation in abs controlled system based on pso algorithm
publishDate	2011
url	http://ndltd.ncl.edu.tw/handle/47365042260987160867
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The Parameters Design and Simulation in ABS Controlled System Based on PSO Algorithm

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