Adaptive sliding-mode neuro-fuzzy control of the sensorless induction motor drive with MRASCC estimator

被引：0
|
作者：
Orlowska-Kowalska, Teresa [1 ]
Dybkowski, Mateusz [1 ]
Szabat, Krzysztof [1 ]
机构：
[1] Wroclaw Univ Technol, Inst Elect Machines Drives & Measurements, PL-50370 Wroclaw, Poland
来源：
EPE: 2009 13TH EUROPEAN CONFERENCE ON POWER ELECTRONICS AND APPLICATIONS, VOLS 1-9 | 2009年
关键词：
Electrical drive; Induction motor; Adaptive control; Sliding mode control; Sensorless control; SYSTEM;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In the paper a model reference adaptive sliding-mode control using on-line trained fuzzy neural network is applied to the sensorless induction motor drive system with MRAS type speed estimator. In this control structure adaptive sliding-mode neuro-fuzzy controller (ASNFC) is used as a speed controller, in the direct field oriented control structure. Connective weights of this controller are trained on-line according to the error between the actual speed of the drive and the reference model output signal. The rotor flux and speed of the vector controlled induction motor are estimated using the novel MRAS(CC) estimator. Simulation results are verified in experimental tests.
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页码：2489 / 2496
页数：8
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