Self-organizing fuzzy neural network controller design

This paper focuses on using the self organization fuzzy neural network controller (SOFNN) to accomplish the periodic motion control of the linear induction motor (LIM) drive. The structure of the fuzzy-neural-network (FNN) is incorporated into the self-organization concept to form the SOFNN control system for alleviating the computation burden. Moreover, the adaptive laws for network parameters are derived in the sense of the Lyapunov stability theorem, and then the stability of the control system can be guaranteed under the occurrence of system uncertainties and external disturbance. The convergence analyses of the output error are based on the discrete-type Lyapunov function to assure the convergence of the output error. Finally, the parameter variations and the time-varying external disturbances are applied in the simulation.