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

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 forc...

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Bibliographic Details
Published inApplied Mechanics and Materials Vol. 461; no. Advances in Bionic Engineering; pp. 961 - 966
Main Authors Zhao, Jian, Deng, Wei Wen, Zhu, Bing, Luo, Jia Qing, Wu, Jian
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.11.2013
Subjects
Active control
Matlab
Optimization
Stability
Strategy
Swarm intelligence
Vehicles
Yaw
Active Steering
Integrated Chassis Control
Vehicle Engineering
Active Braking
Inverse Nyquist Array
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Summary: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.
Bibliography:Selected, peer reviewed papers from the 4th International Conference of Bionic Engineering (ICBE’13), August 13–16, 2013, Nanjing, China
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ISBN:3037859326
9783037859322
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.461.961