不确定对象的人工神经网络自学习控制方法
A Self-Learning Artificial Neural Network Control of Uncertain Objects
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摘要: 利用模糊控制的思想,将误差、误差变化及加速度作为输入,建立一个神经网络控制 器,对具有不确定性控制对象提出了一种自学习模糊神经网络控制方法.并将此方法用于焊接 熔池动态过程控制的有效性试验.Abstract: Using the ideas of fuzzy control, an artificial neural network controller with error, error change and error acceleration as inputs is established for uncertain objects. A self-learning neural network control approach to the controlled objects with uncertainties is presented in this paper. The results of experiment on control of the dynamic process of weld pool in the pulse TIG welding show that the self-learning neural network control scheme presented in this paper is effective.
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Key words:
- Uncertain objects /
- self-learning neural networks /
- fuzzy control
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