Genetic optimization PIλDμ control for fractional nonlinear suspension

doi:10.16731/j.cnki.1671-3133.2019.01.003

Abstract

Abstract: Vibration damping control of a complex vehicle suspension system consisting of fractional order MRF damping and nonlinear spring is studied.Firstly,the 1/4 vehicle two degree of freedom nonlinear suspension mathematical model is established,and then combined with the fractional calculus theory,the PID controller is designed.The genetic algorithm is used to adjust the parameters of fractional PID controller online,in which the vertical acceleration,suspension dynamic displacement and tire dynamic deformation are taken as the optimization indexes to establish fitness function.At the same time,the performance simulation experiments of fractional order PID control,integer order PID control and passive control for nonlinear suspension are carried out in Matlab/Simulink.The results show that the fractional order PID controller with online tuning of genetic algorithm is better than passive suspension and integer PID control.It shows that it is effective to control the suspension when both fractional dampers and nonlinear springs are included.

Key words: fractional order magneto rheological damper, nonlinear, fractional order PID, genetic algorithm, optimization

CLC Number:

TP391

Chen Yandong, Chen Ning, Yang Min, Liu Jie. Genetic optimization PI^λD^μ control for fractional nonlinear suspension[J]. Modern Manufacturing Engineering, 2019, 460(1): 13-17.

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Genetic optimization PI^λD^μ control for fractional nonlinear suspension

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