独立驱动电动汽车模型参考自适应稳定性控制

Model reference adaptive stability control for independent driving electric vehicle

为提高四轮独立驱动电动车(EV)辆行驶中侧向稳定性和安全性,设计了一种基于模型参考自适应(MRAC)直接横摆力矩稳定性控制算法。上层控制器通过Lyapunov数设计并对系统轮胎侧偏刚度、车身质量参数进行实时估计以获得额外横摆力矩;下层控制器利用二次规划法优化所得力矩分配至各轮,以保证控制器动态响应的实时性。在双移线工况下进行Carsim与Simulink联合仿真的结果表明:在附着因数为0.85时,该算法的横摆角速度、质心侧偏角的平均绝对误差相比传统滑模控制分别下降43.0%、37.1%;在附着因数为0.40时,分别下降了25.3%、23.2%。因此,该算法提高了车辆行驶稳定性和安全性。

A direct yaw moment controller algorithm was designed based on a model reference adaptive control(MRAC)to improve the lateral stability and safety for four-wheel independent electric vehicles(EV).The upper-level controller was based on the Lyapunov function to estimate the tire corning stiffness and vehicle mass in real-time and obtain the additional yaw moment.The lower-level controller allocated the requested yaw moment to each wheel via an optimized quadratic programming algorithm,and guarantees the real-time dynamic response of the controller.The results from Carsim and Simulink co-simulation under double lane change driving mode show that the proposed MRAC controller algorithm outperforms the conventional sliding mode controller(SMC)with the reductions for mean absolute errors of yaw rate and sideslip angle by 43.0%and 37.1%under 0.85 adhesion ratio;with 25.3%and 23.2%reductions under 0.40 adhesion ratio.Therefore,the proposed MRAC controller algorithm improves the vehicle lateral stability and safety.