基于BP神经网络的模型参考自适应控制
Model Reference Adaptive Control Based on BP Neural Networks
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摘要: 基于BP神经网络的误差反向传播机制,探讨了建立在BP神经网络基础上的模型参考自适应控制方 法。该方法用2个BP神经网络分别作辨识器和控制器,其中辨识器兼作间接传递误差的通道,从而解决了控制 器权值的修正问题。仿真结果表明,经过学习该控制结构具有较好的有效性。Abstract: A scheme of model reference adaptive control based on BP neural network is presented in this paper. Two BP neural networks are used to identify and control unknown plants. Since a BP neural network has the properties of forward propagation of message and backward propagation of errors, the parameters of a network can be modified to get proper values. The BP identifier is also used as a channel for error propagation. Simulation results show the effectiveness of the proposed scheme.
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Key words:
- adaptive control /
- simulation /
- BP neural networks /
- model reference
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