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首页> 外文期刊>Journal of the Franklin Institute >Adaptive fuzzy output feedback and command filtering error compensation control for permanent magnet synchronous motors in electric vehicle drive systems
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Adaptive fuzzy output feedback and command filtering error compensation control for permanent magnet synchronous motors in electric vehicle drive systems

机译:电动汽车驱动系统永磁同步电动机的自适应模糊输出反馈和指令滤波误差补偿控制

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摘要

In this paper, under the circumstance of parametric uncertainties and external load disturbance, an adaptive fuzzy output feedback and command filtering error compensation control is proposed for permanent magnet synchronous motors (PMSMs) in electric vehicle systems. First, fuzzy logic systems (FLSs) are used to approximate unknown nonlinear functions, and a fuzzy reduced-order observer is set up to estimate the angle speed of the PMSMs. Then, the command filtering error compensation control is utilized to handle the "explosion of complexity" problem arose from the derivation of virtual control functions and reduce the error caused by the command filter, which improves the control accuracy. In addition, the adaptive backstepping technique is exploited to construct the adaptive fuzzy controllers to guarantee the tracking error converge to a small neighborhood of the origin. Finally, simulation results verify the effectiveness and advantages of the proposed theoretic result. (C) 2017 Published by Elsevier Ltd on behalf of The Franklin Institute.
机译:在参数不确定性和外部负载干扰的情况下,提出了一种适用于电动汽车系统中永磁同步电动机的自适应模糊输出反馈和指令滤波误差补偿控制。首先,使用模糊逻辑系统(FLS)近似未知的非线性函数,并建立模糊降阶观测器以估计PMSM的角速度。然后,利用命令过滤误差补偿控制来处理由于虚拟控制函数的推导而引起的“复杂性爆炸”问题,并减少了由命令过滤器引起的误差,从而提高了控制精度。另外,利用自适应反步技术来构造自适应模糊控制器,以保证跟踪误差收敛到原点的较小邻域。最后,仿真结果验证了所提出理论结果的有效性和优势。 (C)2017由Elsevier Ltd代表富兰克林研究所出版。

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  • 来源
    《Journal of the Franklin Institute》 |2017年第15期|6610-6629|共20页
  • 作者单位

    Qingdao Univ, Coll Automat & Elect Engn, Qingdao 266071, Peoples R China;

    Qingdao Univ, Coll Automat & Elect Engn, Qingdao 266071, Peoples R China;

    Qingdao Univ, Coll Automat & Elect Engn, Qingdao 266071, Peoples R China;

    Qingdao Univ, Coll Automat & Elect Engn, Qingdao 266071, Peoples R China;

    Qingdao Univ, Coll Automat & Elect Engn, Qingdao 266071, Peoples R China;

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