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Fuzzy and neural control of an induction motor

Mouloud Denai;  Sid Attia — 2002

International Journal of Applied Mathematics and Computer Science

This paper presents some design approaches to hybrid control systems combining conventional control techniques with fuzzy logic and neural networks. Such a mixed implementation leads to a more effective control design with improved system performance and robustness. While conventional control allows different design objectives such as steady state and transient characteristics of the closed loop system to be specified, fuzzy logic and neural networks are integrated to overcome the problems with...

Global stability of linearizing control with a new robust nonlinear observer of the induction motor

Mohammed Chenafa;  Abdellah Mansouri;  Abderrahmane Bouhenna;  Eric Etien;  Abdelkader Belaidi;  Mouloud Denai — 2005

International Journal of Applied Mathematics and Computer Science

This paper mainly deals with the design of an advanced control law with an observer for a special class of nonlinear systems. We design an observer with a gain as a function of speed. We study the solution to the output feedback torque and rotor flux-tracking problem for an induction motor model given in the natural frame. We propose a new robust nonlinear observer and prove the global stability of the interlaced controller-observer system. The control algorithm is studied through simulations and...

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