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PID parameter auto-tuning method

机译:PID参数自整定方法

摘要

PURPOSE:To identify a transfer function by using a neural network, to adapt PID parameters even to time deformation and a nonlinear system to which they are hardly adapted before, and to display the transfer function of a controlled system to a designer. CONSTITUTION:This method has a transfer function identification part 12 which identifies a closed loop transfer function including a PID controller 16 and a controlled system so as to determine the parameters of control elements P, I, and D automatically when a set value of a process control system including a PID control loop is varied stepwise and a PID parameter calculation processing mechanism 15 which determines the parameters of respective P, I, and D operations according to the identified closed loop transfer function. The transfer function identification part 12 constitutes the neural network which has at least one hidden layer while an input layer is time-series data of the latest (n)-sample period of process measured values and an output layer is the coefficient of the closed loop transfer function.
机译:目的:通过使用神经网络来识别传递函数,使PID参数甚至适应时间变形和之前很难适应的非线性系统,并向设计人员显示受控系统的传递函数。构成:该方法具有传递函数识别部分12,该传递函数识别部分12识别包括PID控制器16和受控系统的闭环传递函数,以便在过程的设定值时自动确定控制元件P,I和D的参数。包括PID控制回路的控制系统是逐步变化的,并且PID参数计算处理机构15根据识别出的闭环传递函数确定各个P,I和D操作的参数。传递函数识别部分12构成具有至少一个隐藏层的神经网络,而输入层是过程测量值的最近(n)个采样周期的时间序列数据,输出层是闭环的系数转换功能。

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