nach der Bestellung gedruckt Neuware - Printed after ordering - The multi-objective genetic algorithm defined in toolbox of MATLAB software has been employed to optimally design of passive and active models of car-quarter and car-half vehicle. So, by this type of optimization in both the active models, a PID controller has been designed to improve ride comfort.These results show the superiority of the obtained two active suspension models which have been done by this work in comparison with either their presented passive models or those best passive models (2-DOF and 5-DOF) published up to now.

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Bibliographic Details

Title: Multi-objective Genetic Optimization of Vehicle Suspension Models : Optimum Design of Vehicle Suspension Systems
Publisher: LAP Lambert Academic Publishing
Publication Date: 2016
Language: English
ISBN 10: 3659927120
ISBN 13: 9783659927126
Binding: Taschenbuch
Condition: Neu
Dimensions: 220 millimeters width by 150 millimeters height by 6 millimeters depth
Weight: 131 grams

About this title

Synopsis

The multi-objective genetic algorithm defined in toolbox of MATLAB software has been employed to optimally design of passive and active models of car-quarter and car-half vehicle. So, by this type of optimization in both the active models, a PID controller has been designed to improve ride comfort.These results show the superiority of the obtained two active suspension models which have been done by this work in comparison with either their presented passive models or those best passive models (2-DOF and 5-DOF) published up to now.

About the Author

Mohammad Javad Mahmoodabadi received his BS and MS degrees in Mechanical Engineering from Shahid Bahonar University of Kerman in 2005 and 2007, respectively. He received his Ph.D. degree in Mechanical Engineering from the University of Guilan in 2012 Now, he is an Assistant Professor of Mechanical Engineering at the Sirjan University of Technology.

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