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Coordinated control for path following of two-wheel independently actuated autonomous ground vehicle

机译:双轮独立驱动自主地车辆路径的协调控制

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摘要

This study investigates the path following control problem about distributed-drive self-driving vehicle through coordinated control of the autonomous front-wheel steering and the differential steering control, to improve the tracking performance. On the basis of the model predictive control algorithm and vehicle dynamic model, the preview time adaptive control of path following is proposed to realise path following with changing preview time in straight and turning conditions. Considering the characteristics of the distributed-drive self-driving vehicle, the differential torque control is utilised based on the reference heading angle to realise trajectory tracking under the condition of constant torque demands. To integrate the advantages of the two methods, coordinated control of trajectory tracking based on the autonomous steering and differential steering is performed by setting the weight coefficients method. MATLAB co-simulation with Carsim and road testing validation are executed, and both demonstrate that the coordinated control strategy can not only effectively improve the response speed and flexibility of steering, but also improve the reliability and accuracy of trajectory tracking.
机译:本研究通过协调控制通过自主前轮转向和差动转向控制的协调控制来调查对分布式驱动自驾驶车辆的控制问题,以提高跟踪性能。在模型预测控制算法和车辆动态模型的基础上,提出了路径的预览时间自适应控制,以实现在直线和转动条件下改变预览时间的路径。考虑到分布式驱动自驾驶车辆的特性,基于参考标题角度使用差分扭矩控制,以在恒定扭矩要求的条件下实现轨迹跟踪。为了整合两种方法的优点,通过设定权重系数方法来执行基于自主转向和差分转向的轨迹跟踪的协调控制。 MATLAB与Carsim和道路测试验证的共同仿真,既表明协调控制策略不仅可以有效地提高转向的响应速度和灵活性,而且还提高了轨迹跟踪的可靠性和准确性。

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