The invention discloses a dual-motor steer-by-wire system and a convolutional neural network fault-tolerant control method thereof. The system comprises a steering wheel module, a steering execution module and a control module, real-time fault detection of the dual-motor steer-by-wire system is carried out by adopting the convolutional neural network method, an accurate mathematical model does not need to be established, an independent feature extraction stage is not needed, and the efficiency and accuracy of dual-motor fault detection are improved; and the specific fault type of the double motors can be accurately diagnosed, and the safety and stability of the double-motor steer-by-wire system are controlled through fault tolerance.

    本发明公开了一种双电机线控转向系统及其卷积神经网络容错控制方法,系统包括:转向盘模块、转向执行模块、控制模块;本发明采用卷积神经网络方法进行双电机线控转向系统的实时故障检测,不需要建立准确的数学模型,并且不需要单独特征提取阶段,提高了双电机故障检测的效率和准确率;并且可以准确地诊断出双电机的具体故障类别,通过容错控制双电机线控转向系统安全性及稳定性。


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    Title :

    Dual-motor steer-by-wire system and convolutional neural network fault-tolerant control method thereof


    Additional title:

    一种双电机线控转向系统及其卷积神经网络容错控制方法


    Contributors:
    XU KUNHAO (author) / ZHAO WANZHONG (author) / ZHANG SENHAO (author) / LIANG WEIHE (author) / LIU JINQIANG (author) / GAO BEN (author) / LI ZHICHENG (author)

    Publication date :

    2022-05-10


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B62D MOTOR VEHICLES , Motorfahrzeuge / H02H EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS , Schutzschaltungsanordnungen / H02P CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS , Steuern oder Regeln von elektrischen Motoren, elektrischen Generatoren, dynamoelektrischen Umformern



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