Research on application of adaptive control system of shuttle kiln based on fuzzy neural network

After analyzing the nonlinearity,time-varying and uncertainty during the temperature control of shuttle kilns,an adaptive controlle(rMRAC)based on Fuzzy Neural Network is designed and used in shuttle kilns.That is,by adopting radial basis RBF network as a shuttle kiln identify network,which pro-duces the Jacobin information and the control error together with the information provided to be a study sig-nal of the fuzzy neural network controller,and then the initial parameters is adjusted through MATLAB simulation.Eventually the gas shuttle kiln shall be controlled by applying VC++,combining with data acqui-sition card.In order to adapt to the change of object properties,the system can identify the Object properties such as the nonlinearity,time-varying and uncertainty accurately,revise the controller parameters in real time,which control effect was verified to be good in practical application.