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Model-independent self-tuning fault-tolerant control method for 4WID EV

机译:4WID EV的与模型无关的自整定容错控制方法

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摘要

To solve the problem of the existing fault-tolerant control system of four-wheel independent drive (4WID) electric vehicles (EV), which relies on fault diagnosis information and has limited response to failure modes, a modelindependent self-tuning fault-tolerant control method is proposed. The method applies model-independent adaptive control theory for the self-tuning active fault-tolerant control of a vehicle system. With the nonlinear properties of the adaptive control, the complex and nonlinear issues of a vehicle system model can be solved. Besides, using the online parameter identification properties, the requirement of accurate diagnosis information is relaxed. No detailed model is required for the controller, thereby simplifying the development of the controller. The system robustness is improved by the error based method, and the error convergence and input-output bounds are proved via stability analysis. The simulation and experimental results demonstrate that the proposed fault-tolerant control method can improve the vehicle safety and enhance the longitudinal and lateral tracking ability under different failure conditions.
机译:为了解决现有的四轮独立驱动(4WID)电动汽车(EV)的容错控制系统的问题,该系统依赖于故障诊断信息并且对故障模式的响应有限,因此需要一种与模型无关的自整定容错控制建议的方法。该方法将与模型无关的自适应控制理论应用于车辆系统的自整定主动容错控制。利用自适应控制的非线性特性,可以解决车辆系统模型的复杂和非线性问题。此外,利用在线参数识别属性,放宽了对准确诊断信息的要求。控制器不需要详细的模型,从而简化了控制器的开发。通过基于误差的方法提高了系统的鲁棒性,并通过稳定性分析证明了误差的收敛性和输入输出界限。仿真和实验结果表明,所提出的容错控制方法可以提高车辆的安全性,并提高在不同故障条件下的纵向和横向跟踪能力。

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