基于模糊神经网络的多变量解耦控制

Multivariable Decoupling Control Based on Fuzzy Neural Networks

针对焦炉集气管压力这类多变量非线性系统 ,提出了一种基于 PID神经网络和 RBF模糊神经网络的多变量解耦控制方案 ,RBF模糊神经网络对多变量对象进行解耦 ,PID神经网络控制器控制过程的动态特性 .工程应用表明 。

For the multi variable nonlinear system such as the collection pressure of coke ovens, this paper proposes an multi variable decoupling control algorithm based on a PID neural network and RBF fuzzy neural network, the RBF fuzzy neural network responds for the decoupling of the plant and PID neural network responds the dynamical property of plant output. The real world application shows that the proposed control strategy successfully solved the process control problem of the complex plant such as the collection pressure of coke ovens.