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Vehicle stability control algorithm based on optimal fuzzy theory

机译:基于最优模糊理论的车辆稳定性控制算法

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As a new active safety technology, Vehicle Stability Control (VSC) system can maintain the vehicle stability by dominating the yaw moment effectively under extreme driving conditions. This paper presents a novel VSC strategy devoted to prevent vehicles from spinning and drifting out, which is based on the Linear Quadratic Regulator (LQR) and the fuzzy control theory. The response of the vehicle can follow the ideal output of the 2-DOF reference model through controlling the yaw rate and side slip angle. The performance of the proposed algorithm is evaluated under various emergency maneuvers and road conditions. The simulation results indicate that the proposed system can significantly improve vehicle lateral stability for active safety, which has strong adaptability and robustness.
机译:作为一种新的主​​动安全技术,车辆稳定控制(VSC)系统可以通过在极端驾驶条件下有效地控制横摆力矩来保持车辆的稳定性。本文提出了一种新颖的VSC策略,该策略基于线性二次调节器(LQR)和模糊控制理论,致力于防止车辆旋转和漂移。通过控制横摆率和侧滑角,车辆的响应可以遵循2-DOF参考模型的理想输出。在各种应急演习和道路条件下,对所提出算法的性能进行了评估。仿真结果表明,所提出的系统可以显着提高车辆的侧向稳定性,实现主动安全性,具有较强的适应性和鲁棒性。

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