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Research on Single Neuron PID Control Method for Time Delay Systems

机译:时滞系统的单神经元PID控制方法研究

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A single neuron PID control method based on Smith predictor is presented in this paper to overcome the short comings that the control effect of conventional Smith predictor will be worse while the parameters of time delay systems change. This method combines the single neuron PID with Smith predictor. By the self adapting and self organizing of single neuron, it can be adapted to the parameters changing of the controlled plant. And the simulation study had been done for a first order time delay system. The results show that this method offer good static and dynamic characteristics as well as its disturbance-rejection and robustness are better.
机译:提出了一种基于Smith预估器的单神经元PID控制方法,克服了传统的Smith预估器的控制效果随着时滞系统参数的变化而变差的缺点。该方法将单神经元PID与Smith预测器结合在一起。通过单个神经元的自适应和自组织,它可以适应受控植物的参数变化。并对一阶时滞系统进行了仿真研究。结果表明,该方法具有良好的静态和动态特性,抗干扰性和鲁棒性较好。

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