DocumentCode :
2764832
Title :
Shaft misalignment detection using ANFIS for speed sensorless AC drive with inverter output filter
Author :
Guzinski, Jaroslaw ; Abu-Rub, Haitham ; Iqbal, Atif ; Ahmed, SK Moin
Author_Institution :
Gdansk Univ. of Technol., Gdansk, Poland
fYear :
2011
fDate :
27-30 June 2011
Firstpage :
2138
Lastpage :
2143
Abstract :
The aim of the paper is to present a diagnostic system for shaft misalignment detection. The diagnostic system is used in an adjustable speed sensorless induction motor (IM) drive with an inverter output filter. A nonlinear control algorithm and state observer were used in the motor control. Because the inverter output filter was installed in the drive, the control structure, as well as the estimation systems, were adequately changed. The adaptive neuro-fuzzy inference system (ANFIS) is used for shaft coupling fault detection. ANFIS is based on the analysis of the stator current, motor speed, and load torque processing. ANFIS uses only signals estimated from the state observers whereas observers calculate required variables only on the base of the inverter input voltage and two output current sensors. No additional special sensors are required. The proposed diagnostic system clearly indicates the shaft misalignment. The paper presents the model of the drive, control and estimation algorithms, as well as the diagnostic system. Whole drive and ANFIS fault indicator were verified by experiments for a 1.5 kW induction motor drive system.
Keywords :
adaptive control; angular velocity control; control engineering computing; fuzzy reasoning; induction motor drives; neural nets; power engineering computing; power filters; sensorless machine control; variable speed drives; ANFIS fault indicator; adaptive neuro-fuzzy inference system; adjustable speed sensorless induction motor drive; inverter output filter; load torque processing; motor control; nonlinear control algorithm; power 1.5 kW; shaft coupling fault detection; shaft misalignment detection; speed sensorless AC drive; Filtering theory; Gears; Induction motors; Inverters; Observers; Shafts; Torque;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics (ISIE), 2011 IEEE International Symposium on
Conference_Location :
Gdansk
ISSN :
Pending
Print_ISBN :
978-1-4244-9310-4
Electronic_ISBN :
Pending
Type :
conf
DOI :
10.1109/ISIE.2011.5984491
Filename :
5984491
Link To Document :
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