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Robust Fault Estimation for Time-Varying and High-Order Faults in Vehicle Electric Steering Systems

机译:车辆电动转向系统中时变高阶故障的强大故障估计

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Steering motors are involved in the vehicle activesteering or motor-aided steering systems such as active front wheel steering, steering-by-wire, and power steering systems, and steering motor faults always impose a great threat to vehicle stability and safety, demanding dedicated fault estimation systems. There are several challenges existing in the fault estimation for steering systems: time-varying vehicle longitudinal speed, inevitable modeling errors, and time-varying or high-order faults. In order to cope with all these challenges, a robust fault estimation approach is proposed by a means of gain-scheduling H_∞ strategy. First, the vehicle model is established and incorporated with the steering system fault model. Then by taking into consideration of parameter-varying and modeling errors, a robust estimator is presented that ensures H_∞ performance from modeling error to fault estimation. Experimental validations are shown to verify the effectiveness of the proposed estimator.
机译:转向电机涉及车辆活性运动或电动机辅助转向系统,如主动前轮转向,转向和动力转向系统,以及转向电机故障始终对车辆稳定性和安全性施加了很大的威胁,要求苛刻的故障估计系统。用于转向系统的故障估计存在几种挑战:时变的车辆纵向速度,不可避免的建模误差,以及时变或高阶的故障。为了应对所有这些挑战,通过增益调度的方法提出了一种强大的故障估计方法。首先,建立车辆模型并与转向系统故障模型合并。然后,通过考虑参数变化和建模错误,提出了一种稳健的估计器,从而确保了从对故障估计的模型错误的性能。实验验证显示为验证所提出的估算者的有效性。

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