DSP在模糊神经网络控制器中的应用

Neural-Network Based Fuzzy Controller Applying a Digital Signal Processor

  • 摘要: 将模糊控制所具备较强的逻辑推理功能和神经网络的学习功能融为一体,组合而成模糊神经网络,通过预测神经网络和模糊神经网络的协调作用,利用梯度法可以实时地调整模糊神经网络每个隶属函数的参数值。

     

    Abstract: By a combination of the strong Reasoning reasoning power possessed by the fuzzy control and learning ability in the neural network, a new type of structure of the neural network bed ac controller is proposed. To meet the need of real-time calculation in the contiol process, the TMS320C30 high speed digital signal processor (DSP) is adoptal as the control and process unit, and the real-time fuzzy neural network control is successfully accomplished in the electrohydraulic position control system.

     

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