Fuzzy Single Neuron PSD Adaptive Control And Application In Superheated Steam Temperature Control

Superheated steam temperature in the Power Plant is the controlled member in the thesis. Firstly, the structure of neuron adaptive controller is researched. And the PSD algorithm is introduced, and the gain's self-adjustment is added, then the self-adaptive, free of identification, single neuron PSD control algorithm is presented. The adjusting of the weight coefficient used a new type of adjusting of weight coefficient. This algorithm is applied to the control of the superheated steam temperature. The result of the simulation shows the validity of this algorithm; Based on fuzzy control and neural network, the fuzzy- neuron adaptive PSD controller is presented. Many kinds of simple integration ways have been proposed, and the fuzzy neuron adaptive PSD control system is designed. The simulation has shown this algorithm is betrer than the self-adaptive, free of identification, single neuron PSD control algorithm in the control of superheated steam temperature, and it has wider application prospects.