一类非线性过程的智能控制方法研究

Research of Intelligent Control Methods for a Class of Nonlinear Process

以一类典型的非线性过程控制系统双腔加热炉为背景,讨论复杂系统的控制问题。为了实现对复杂系统的稳定控制,必须考虑诸如非线性、大时滞、时变和强耦合的控制问题。设计了一种复合模糊神经网络控制器,利用模糊神经网络对系统进行辨识,利用神经元实现系统解耦,利用基于神经网络的自组织模糊控制器实现了系统的控制,实验证明了控制器对该类非线性过程控制的有效性。

The control problem of complex systems was discussed on background of two-layer resistance heating furnace. In order to get stable control for complex systems, it is necessary to consider the control problems with nonlinear, large scale time delay, time varying and coupling. A FNN based multiplex control system was designed for this kind of nonlinear system. The system is identified by the FNN and decoupled by neurons and controlled by FNNSOC. Results demonstrate the feasibility of the design which obtains good effect.