GA-based sliding mode controller for yaw stability improvement
The vehicle handling and stability can be enhanced with direct yaw moment control (DYC). In this paper, a sliding mode controller (SMC) with genetic algorithm optimization is proposed for the yaw moment control. A single track vehicle model with nonlinear tire forces is utilized for the controller d...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/51087/ http://ieeexplore.ieee.org/document/6606287/ |
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| Summary: | The vehicle handling and stability can be enhanced with direct yaw moment control (DYC). In this paper, a sliding mode controller (SMC) with genetic algorithm optimization is proposed for the yaw moment control. A single track vehicle model with nonlinear tire forces is utilized for the controller design. The effectiveness of the proposed controller is compared to conventional sliding mode controller by co-simulations in CarSim and Matlab/Simulink. The simulation results of a step steer maneuvers shows that the proposed controller give better performance in tracking the desired yaw rate and control other necessary response for the vehicle handling and stability. In addition, the chattering phenomenon is also reduced, giving a smooth tracking trajectory. |
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