The Research Of Marine Boiler Control Algorithm Based On Neural Network

Two on-line learning control method based on the single neuron controller and cerebellar model articulation controller (CMAC) neural network are presented for the parameter's adaptive ability of the drum water system and stream pressure controlled loop of marine boiler.The accurate models of boiler drum water system and steam pressure controlled system were established in accord with the theory of marine boiler.Then the basic principle, characteristics and their shortcomings of single neuron and CMAC neuron are illuminated. Based on the simulation, the network' structure is illustrated and it is compared with conventional PID. The simulation results show that the CMAC controller has very good robustness and adaptive ability. More over the method can use a high learning rate, which qualifies it to be used for learning online. The simulation results demonstrate the effectiveness and feasibility of each integrated intelligent control algorithm presented in the thesis.