文档介绍：parison Of Estimation Techniques For Sensorless Vector Controlled
Induction Motor Drives
Gavin J. Armstrong, David J. Atkinson, Paul P. Acarnley
Dept. Electrical & Electronic Engineering
University of Newcastle-upon-Tyne
Newcastle-upon-Tyne, NE1 7RU - United Kingdom.
Absfract parison of Model Reference Adaptive System system characteristics are altered by the inclusion of the
(MRAS) and Extended Kalman Filter (Elm) based speed and estimator. By analyzing open-loop performance parison
rotor flux estimation applied to an experimental vector of the algorithmic performance of the two methods can be
controlled induction motor dnve is undertaken. Steady-state undertaken with confidence that the overall system dynamics
and transient performance of each technique is analyzed and are unchanged.
the affects of estimator parameter variation are studied.
Experimental results from real-time implementations of both 2. Rotor Flux MRAS Technique
techniques on a purpose built vector controlled induction
motor drive are presented and discussed, with reference to The use of a rotor flux based MRAS system was possibly first
practical implementationissues. proposed by Tamai in 1987 [4] and later developed by
Schauder [5]. This system has been extended to include a
1. Introduction mechanical model [I] and a recent work [6] has analyzed the
sensitivity of t