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GA-based real-time adaptive fuzzy co...

Abu-Khudhair, Aws.

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GA-based real-time adaptive fuzzy control of semi-active automotive suspensions.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	GA-based real-time adaptive fuzzy control of semi-active automotive suspensions./
Author:	Abu-Khudhair, Aws.
Description:	101 p.
Notes:	Source: Masters Abstracts International, Volume: 49-04, page: 2607.
Contained By:	Masters Abstracts International49-04.
Subject:	Engineering, Automotive. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR71442
ISBN:	9780494714423

GA-based real-time adaptive fuzzy control of semi-active automotive suspensions.
Abu-Khudhair, Aws.

GA-based real-time adaptive fuzzy control of semi-active automotive suspensions. - 101 p.

Source: Masters Abstracts International, Volume: 49-04, page: 2607.

Thesis (M.A.Sc.)--University of Guelph (Canada), 2011.

Today's vehicles employ a large number of systems and sensors aimed at enhancing the performance and ride comfort of the vehicle. With the advancements in vehicle designs and technology, the performance enhancement that the vehicle can exhibit is limited by the performance of the suspension system. The suspension system in a vehicle acts as the essential link between the vehicle body and the road pavement. Due to the lack of a suspension system that is capable of adapting to its environment, the vehicle is unable to fully use its engine capabilities without causing problems in ride comfort, and handling. This thesis examines a possible implementation of a real-time adaptive control system for the automotive vehicle suspension system.

ISBN: 9780494714423Subjects--Topical Terms:

1018477
Engineering, Automotive.

GA-based real-time adaptive fuzzy control of semi-active automotive suspensions.
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100 1 $a Abu-Khudhair, Aws. $3 1682902
245 1 0 $a GA-based real-time adaptive fuzzy control of semi-active automotive suspensions.
300 $a 101 p.
500 $a Source: Masters Abstracts International, Volume: 49-04, page: 2607.
502 $a Thesis (M.A.Sc.)--University of Guelph (Canada), 2011.
520 $a Today's vehicles employ a large number of systems and sensors aimed at enhancing the performance and ride comfort of the vehicle. With the advancements in vehicle designs and technology, the performance enhancement that the vehicle can exhibit is limited by the performance of the suspension system. The suspension system in a vehicle acts as the essential link between the vehicle body and the road pavement. Due to the lack of a suspension system that is capable of adapting to its environment, the vehicle is unable to fully use its engine capabilities without causing problems in ride comfort, and handling. This thesis examines a possible implementation of a real-time adaptive control system for the automotive vehicle suspension system.
520 $a The unknown conditions of the vehicle operation environment make it difficult to develop a control system capable of providing significant extended enhancement to both the vehicle ride quality, and handling. In this thesis a genetic algorithm-based control system capable of tuning its performance to the current operational environment of the vehicle, is introduced. Understanding the effectiveness of the control system at stabilizing the vehicle is achieved by comparing a simulation of a quarter vehicle semi-active suspension system to that of a standard passive suspension system. The benefits of using the proposed adaptive control system are examined using various road conditions based on the road standards defined by the International Organization for Standardization (ISO).
590 $a School code: 0081.
650 4 $a Engineering, Automotive. $3 1018477
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Computer Science. $3 626642
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710 2 $a University of Guelph (Canada). $3 1018650
773 0 $t Masters Abstracts International $g 49-04.
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791 $a M.A.Sc.
792 $a 2011
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR71442