Optimal Distribution Strategy for Vehicle Active Yaw Moment Using Bio-Inspired Computing

Jian Zhao; Jia Qing Luo; Jian Wu; Wei Wen Deng; Bing Zhu

doi:10.4028/www.scientific.net/AMM.461.961

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 461Optimal Distribution Strategy for Vehicle Active...

Optimal Distribution Strategy for Vehicle Active Yaw Moment Using Bio-Inspired Computing

Abstract:

This article aims to propose an optimized active yaw moment distribution strategy to improve vehicle safety and stability effectively. A controller based on a 2 DOF vehicle model and a PID controller is designed for the target active yaw moment, which is further allocated into longitudinal tire forces optimally by a particle swarm optimization (PSO) algorithm. The optimal distribution strategy is analyzed using Carsim and Matlab/Simulink co-simulation. The results show that the vehicle handling and stability are improved effectively through the lower workload of the actuators by the proposed control strategy.

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Periodical:

Applied Mechanics and Materials (Volume 461)

Pages:

961-966

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.461.961

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Online since:

November 2013

Authors:

Jian Zhao, Jia Qing Luo, Jian Wu, Wei Wen Deng, Bing Zhu

Keywords:

Active Braking, Active Steering, Integrated Chassis Control, Inverse Nyquist Array, Vehicle Engineering

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