小波模糊网络作为补偿器的自适应控制算法

    Adaptive Control Algorithm With WFN Compensator

    • 摘要: 提出了一种基于小波模糊网络(WFN)的自适应计算转矩控制算法。这种控制方法的结构可以被认为是一个前馈型计算转矩控制器和一个WFN模型补偿器的结合。根据己知的机器人模型,使用普通的计算转矩方法,计算出前馈控制转矩。补偿器计算生成一个补偿转矩,叠加在前馈控制转矩上,以补偿不确定的动力学参数。

       

      Abstract: An adaptive moment control algorithm based on wavelet fuzzy net (WFN) is presented.The structure of this control method can be considered as the combination of a feed forward type computation moment controller and a WFN model compensator.According to the known robot model,the common moment algorithm is used to calculate feed forward control moment.The compensation moment resulted from controller computation is overlapped on the feed forward control moment to compensate the indefinite dynamic parameter.

       

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