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Application of PID neural network in headbox multivariable decoupling control

机译:PID神经网络在流浆箱多变量解耦控制中的应用

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摘要

Aiming at the control problems of headbox in papermaking process, such as the nonlinearity and serious coupling relationship between pressure and liquid level, a kind of PID neural network decoupling controller is designed. The experience data of PID control is used to determine the initial value of the weight and make the controlled variables vary with the given values, which realizes the decoupling control of the multivariable system. The simulation results show that the PID neural network decoupling controller meets the requirements of the control performance index, which has high practical value.
机译:针对造纸过程中流浆箱的非线性,压力与液位的严重耦合关系等控制问题,设计了一种PID神经网络解耦控制器。 PID控制的经验数据用于确定重量的初始值,并使控制变量随给定值变化,从而实现多变量系统的解耦控制。仿真结果表明,PID神经网络解耦控制器能够满足控制性能指标的要求,具有较高的实用价值。

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