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Based on Improved Genetic Algorithm rigid vehicle ride comfort coupled nonlinear optimization Suspension

Author: LiYeSong
Tutor: SongXiaoLin
School: Hunan University
Course: Vehicle Engineering
Keywords: Ride Genetic Algorithms ADAMS Joint optimization
CLC: U463.33
Type: Master's thesis
Year: 2010
Downloads: 167
Quote: 1
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Abstract


Car ride is keep the car in motion the process in which the vibration and impact occupant comfort in a certain environment within the scope of the performance , for the truck also includes maintaining cargo integrity performance. With the speed and the people on the vehicle performance requirements increase, the ride vehicle is already competing in the market competition advantage of an important performance indicators , is a modern high-speed car one of the main properties , and thus how to minimize the process of moving car arising from vibration, improve and optimize vehicle ride comfort is a very valuable and meaningful work . With the rapid development of computer technology and multi-body system dynamics widely used, is closer to the real car , vehicle vibration model accurately established . Flexible coupling system and the introduction of non-linear suspension began research vehicle ride comfort . This article is in the ADAMS / View environment, the establishment of rigid coupled nonlinear model based on the vehicle suspension , edit the script in the MATLAB environment simulation analysis procedures, the vehicle ride simulation analysis, the vertical position of the person (s) acceleration and suspension dynamic travel and wheel dynamic load suspension rms value of the characteristic parameters and nonlinear curve . Modern theory of biological evolution and the development of bionics to engineering optimization problems provide a new design ideas and programs. Based on ADAMS software, using genetic algorithms, based on evaluation ride and suspension characteristics of the relationship between parameters of coupled nonlinear suspension for rigid suspension eight vehicle model parameters were optimized match. Consider the standard genetic algorithm prone to \By comparing Automobile ride before and after optimization evaluation show that the joint optimization design feasibility and superiority . The research to improve ride comfort of its performance, reduce costs and shorten the development cycle has a certain practical significance.

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CLC: > Transportation > Road transport > Automotive Engineering > Automotive structural components > Travel System > Suspension
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