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Longitudinal speed control algorithm to improve the vehicle stability and mobility on a sharp curve

Longitudinal speed control algorithm to improve the vehicle stability and mobility on a sharp curve
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摘要 A new longitudinal speed control strategy is proposed. It used the lateral jerk information as the feedback to predict the longitudinal acceleration and deceleration, which is especially beneficial to a sharp curve turning at a high driving speed. The performance of the controller is validated with Matlab/Simulink. The simulation results indicate that compared with the traditional vehicle, the G-vector controller can reduce the turning radius and improve the vehicle stability and agility obviously. And the proposed longitudinal speed control strategy could trade-off the longitudinal and lateral acceleration by using the tire force during the turning. A new longitudinal speed control strategy is proposed. It used the lateral jerk information as the feedback to predict the longitudinal acceleration and deceleration, which is especially beneficial to a sharp curve turning at a high driving speed. The performance of the controller is validated with Matlab/Simulink. The simulation results indicate that compared with the traditional vehicle, the G-vector controller can reduce the turning radius and improve the vehicle stability and agility obviously. And the proposed longitudinal speed control strategy could trade-off the longitudinal and lateral acceleration by using the tire force during the turning.
出处 《Journal of Beijing Institute of Technology》 EI CAS 2016年第4期441-447,共7页 北京理工大学学报(英文版)
基金 Supported by the National Nature Science Foundation of China(51375046 51205021)
关键词 vehicle model G-vector control dynamic control active safety vehicle model G-vector control dynamic control active safety
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