Fuzzy-neuron intelligent coordination control for a unit power plant

A novel fuzzy-neuron intelligent coordination control method is proposed for a unit power plant . Based on the complementarity between a fuzzy controller and a neuron model-free controller, a fuzzy-neuron compound control method for a single-in-single-out (SISO) systems is presented to enhance the robustness and precision of the control system. In this new intelligent control system, the fuzzy logic controller is used to speed up the transient response,and the adaptive neuron controller is used to eliminate the steady state error of the system. For the multivariable control system, the multivariable controlled plant is decoupled statically, and then the fuzzy neuron intelligent controller is used in each input-output path of the decoupled plant. To the complex unit power plant, the structure of this new intelligent coordination controller is very simple and the simulation results show that good performances such as strong robustness and adaptability etc are obtained. One of the outstanding advantages is that the proposed method can separate the controller design procedure and control signals from the plant model. It can be used in practice very conveniently.