论文信息 - Online neo-fuzzy-neuron state observer

Online neo-fuzzy-neuron state observer

An algorithm for a state observation based on a neo-fuzzy-neuron (NFN) with real time training is presented. Some useful theorems are promptly demonstrated and used to aid the design of the observer. Two applications of this state observer are shown: an induction machine rotor flux observer and an induction machine speed observer. Digital simulation and experimental results show the good performance of the observer.

[1] B.K. Bose,et al. Neural network based estimation of feedback signals for a vector controlled induction motor drive , 1994, Proceedings of 1994 IEEE Industry Applications Society Annual Meeting.

[2] Zengqi Sun,et al. Analysis and design of fuzzy controller and fuzzy observer , 1998, IEEE Trans. Fuzzy Syst..

[3] M. A. Munem. Calculus with analytic geometry , 1978 .

[4] J. Theocharis,et al. Neural network observer for induction motor control , 1994, IEEE Control Systems.

[5] Michio Sugeno,et al. Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[6] Regis Pinheiro Landim,et al. Nonlinear System Identification Using a Neo Fuzzy Neuron Algorithm: Electrical Drive Application , 1999, Int. J. Neural Syst..