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A Study About Fuzzy Control Algorithm Based on Neural Networks Forecast Model in Active Vibration Isolation Control System

机译:主动隔振控制系统中基于神经网络预测模型的模糊控制算法研究

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The paper designs fuzzy active vibration isolation control algorithm base on neural networks forecast model. It can make forecast for the moving state of vibration isolation platform at the next moment according to output of controller and vibration isolation platform at the current moment. Input this state to fuzzy controller adopts feed-back mode. Fuzzy controller makes diagnosis in advance and controls the vibration isolation platform. The simulation result shows that the algorithm not only limits surge of control signal but also can restrains super high size and has favorable effects for low frequency vibration signal.
机译:本文在神经网络预测模型上设计模糊主动振动隔离控制算法。根据当前时刻的控制器和振动隔离平台的输出,可以在下一刻对振动隔离平台的移动状态进行预测。将此状态输入到模糊控制器采用反馈模式。模糊控制器提前诊断并控制振动隔离平台。仿真结果表明,该算法不仅限制了控制信号的浪涌,还可以限制超高尺寸,并且对低频振动信号具有有利影响。

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