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首页> 外文期刊>Transportation Electrification, IEEE Transactions on >Robust Composite Nonlinear Feedback Path-Following Control for Independently Actuated Autonomous Vehicles With Differential Steering
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Robust Composite Nonlinear Feedback Path-Following Control for Independently Actuated Autonomous Vehicles With Differential Steering

机译:具有差速转向的独立驱动自主车辆的鲁棒复合非线性反馈路径跟随控制

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摘要

This paper investigates utilizing the front-wheel differential drive-assisted steering (DDAS) to achieve the path-following control for independently actuated (IA) electric autonomous ground vehicles (AGVs), in the case of the complete failure of the active front-wheel steering system. DDAS, which is generated by the differential torque between the left and right wheels of IA electric vehicles, can be utilized to actuate the front wheels as the sole steering power when the regular steering system fails, and thus avoids dangerous consequences for AGVs. As an inherent emergency measure and an active safety control method for the steering system of electric vehicles, DDAS strategy is a valuable fault-tolerant control approach against active steering system failure. To improve the transient performance of the fault-tolerant control with the DDAS, a novel multiple-disturbance observer-based composite nonlinear feedback (CNF) approach is proposed to realize the path-following control for IA AGVs considering the tire force saturations. The disturbance observer is designed to estimate the external multiple disturbances with unknown bounds. CarSim-Simulink joint simulation results indicate that the proposed controller can effectively achieve the fault-tolerant control and improve the transient performance for path following in the faulted-steering situation.
机译:本文研究了在主动前轮完全失效的情况下,利用前轮差速驱动辅助转向(DDAS)实现独立驱动(IA)电动自主地面车辆(AGV)的路径跟踪控制的方法转向系统。由IA电动车左右轮之间的扭矩差产生的DDAS可用于在常规转向系统出现故障时作为唯一转向动力来驱动前轮,从而避免了AGV的危险后果。 DDAS策略作为电动汽车转向系统固有的紧急措施和主动安全控制方法,是一种针对主动转向系统故障的有价值的容错控制方法。为了提高DDAS的容错控制的暂态性能,提出了一种基于多扰动观测器的复合非线性反馈(CNF)新方法,以实现考虑轮胎力饱和的IA AGV的路径跟踪控制。干扰观测器旨在估计边界未知的外部多重干扰。 CarSim-Simulink联合仿真结果表明,所提出的控制器可以有效地实现容错控制,并在出现转向错误的情况下提高路径跟踪的暂态性能。

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