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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和高阶故障的鲁棒故障估计

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Steering motors are involved in the vehicle active-steering 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:转向马达涉及车辆主动转向或马达辅助转向系统,例如主动前轮转向,线控转向和动力转向系统,并且转向马达故障始终对车辆的稳定性和安全性构成巨大威胁,要求很高。专用故障估计系统。转向系统的故障估计中存在几个挑战: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故障。为了应对所有这些挑战,提出了一种鲁棒的故障估计方法,该方法是通过增益调度H≈H 2来实现的。战略。首先,建立车辆模型并将其与转向系统故障模型合并。然后通过考虑参数变化和建模误差,提出了一种鲁棒的估计器,该估计器可确保H≤0。从建模错误到故障估计的性能。实验验证表明,可以验证所提出的估计器的有效性。

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