Parametric Optimization for the Design of Passenger Vehicle Suspension System with the Application of Genetic Algorithm
Main Article Content
Abstract
In this paper an improved suspension system of a four-wheel vehicle is designed to minimize the vehicle floor vibrations. A seven degree-of-freedom full car model of vehicle system is modelled using the linear approach and is excited under the uncertain road inputs approximated by the white noise function. Vehicle acceleration in bounce, pitch and roll along with suspension displacement are the multiple parameters blended into single objective function to be minimized through proper allocation of weightages to each sub-objective based on real implications. The modified suspension system with optimum parameters results in improvement in the dynamic characteristic. Computer simulation through MATLAB-Simulink is providing an approximate solution against expensive and time taking experimentation.
Article Details
Issue
Section
Articles
Authors who publish with this journal agree to the following terms: a. Authors retain copyright and grant the journal right of first publication, with the work two years after publication simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal. b. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal. c. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).