DocumentCode :
290758
Title :
Adaptive nonlinear control of induction motors with flux observer
Author :
von Raumer, T. ; Dion, Jean Michel ; Dugard, Luc
Author_Institution :
Lab. d´´Autom. de Grenoble, St. Martin d´´Heres, France
fYear :
1993
fDate :
17-20 Oct 1993
Firstpage :
84
Abstract :
In this paper we present an adaptive nonlinear speed control algorithm for induction motors. Input-output linearisation techniques are used to track torque and rotor flux and the scheme is extended for speed control. The adaptation, based on Lyapunov-design can cope with rotor and stator resistance variations while preserving stability. Exact current limitation is achieved in the known parameter case. The use of a Kalman filter, relaxes the need of rotor flux measurement. In this case no global stability proof is available. Finally only few modifications are needed for the implementation of a sampled version of the algorithm. These features are confirmed by significant simulations, that emphasise the effects of the adaptation and the observer as well as the interest of the current limitation
Keywords :
Kalman filters; Lyapunov methods; adaptive control; angular velocity control; filtering theory; induction motors; linearisation techniques; machine control; nonlinear control systems; observers; rotors; stability; stators; I/O linearisation; Kalman filter; Lyapunov design; adaptive nonlinear speed control; flux observer; induction motors; input-output linearisation techniques; rotor flux tracking; rotor resistance variations; stator resistance variations; torque tracking; Adaptive control; Ear; Induction motors; Linearization techniques; Programmable control; Rotors; Stability; Stators; Torque control; Velocity control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 1993. 'Systems Engineering in the Service of Humans', Conference Proceedings., International Conference on
Conference_Location :
Le Touquet
Print_ISBN :
0-7803-0911-1
Type :
conf
DOI :
10.1109/ICSMC.1993.390829
Filename :
390829
Link To Document :
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