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Yaw stability of four-wheel-drive electric vehicle based on multi-model predictive control

机译:基于多模型预测控制的四轮驱动电动车的偏航稳定性

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This paper presents a multi-model predictive control strategy based yaw stability control scheme for a 4 wheel drive with 4 hub motors. The proposed control scheme ensures that the vehicle can quickly achieve the minimum vehicle safety requirements in various working circumstances. Generally the vehicle with high speed can easily lose stability emergency obstacle avoidance maneuver (double line change), sudden damage of key vehicle components and hazardous external environment. The complex nonlinear dynamics of electric vehicle result in large model uncertainties and the conventional robust or parameter adaptive control methods can hardly ensure vehicle stability and accuracy. The proposed strategy employs multi-model control method (MMC) and model predictive control (MPC) method to solve the nonlinearities and uncertainties in electric vehicle. As a result the vehicle delivers superior performance in hazardous driving conditions. The simulations results in CARSIM and Simulink environment confirm the effectiveness of the proposed algorithm. At last the control performance would be examined by utilizing the joint simulation program of CARSIM and Simulink.
机译:本文介绍了一种基于多模型预测控制策略的基于偏航稳定性控制方案,用于带4个轮毂电机的4轮驱动。所提出的控制方案确保车辆可以在各种工作情况下快速实现最低的车辆安全要求。一般来说,具有高速的车辆可以容易地失去稳定的紧急障碍避免机动(双线改变),突然损坏的关键车辆部件和危险的外部环境。电动车的复杂非线性动力学导致大型模型不确定性,传统的鲁棒或参数自适应控制方法可能几乎不能确保车辆稳定性和准确性。该策略采用多模型控制方法(MMC)和模型预测控制(MPC)方法来解决电动车辆中的非线性和不确定性。结果,车辆在危险驾驶条件下提供卓越的性能。仿真导致Carsim和Simulink环境确认了所提出的算法的有效性。最后,将通过利用Carsim和Simulink的联合仿真程序来检查控制性能。

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