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- W3146394973 abstract "To solve the optimal parameters selection problem of fuzzy-PID controller of vehicle active suspension,genetic algorithm and its global optimization ability and parallel capacity were used to optimize the quantification factors and the correction coefficients of PID parameters. The smoothness and tire grounding were taken as the comprehensive evaluation indexes,the objective function including the body vertical acceleration,the suspension dynamic displacement and the tire dynamic load was established,and genetic algorithm was employed for the controller parameter optimization. Further the parameters of Ford Granada were selected to complete the control simulation. The simulation results show that the actively controlled chassis using the fuzzy-PID controller optimized by the genetic algo-rithm can have much performance improvement compared to that using fuzzy-PID without optimization and the corresponding passive one." @default.
- W3146394973 created "2021-04-13" @default.
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- W3146394973 date "2016-01-01" @default.
- W3146394973 modified "2023-09-28" @default.
- W3146394973 title "Fuzzy-PID Control of Vehicle Active Suspension Based on Genetic Algorithm Optimization" @default.
- W3146394973 hasPublicationYear "2016" @default.
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