DocumentCode :
2002098
Title :
Current regulated pulse width modulation controller impact on low speed performances of industrial encoderless adjustable speed drives under sliding mode variable structures
Author :
Lee, Kevin ; Yao, Wenxi ; Lu, Wenbin ; Lu, Zhengyu
Author_Institution :
Eaton Corp., Milwaukee, WI, USA
fYear :
2012
fDate :
15-20 Sept. 2012
Firstpage :
2639
Lastpage :
2645
Abstract :
Although adjustable-speed drives (ASDs) with induction machines (IMs) have already evolved as a mature technology, accurate encoderless operation at very low speed range remains to be problematic for all existing control methods, which include nonlinearity compensation, model-reference-adaptive-system (MRAS), various types of observers, high frequency injection leveraging saliency effects, artificial intelligence (AI) or neural network techniques. These encoderless solutions are integrated into either direct torque control (DTC), or stator current regulated pulse-width-modulated (CRPWM) controllers. The DTC solution can have better dynamic responses, while the CRPWM regulator provides superior steady state performances. In the category of observer formulations without signal injection, one promising dual frame sliding mode observer (DFSMO) can achieve a published performance of below 6 revolutions per minute (rpm) (0.2Hz) at full load under a DTC scheme. DFSMO does not need the rotor position or rotor flux angle, thus it increases the estimation accuracy and is tolerable to IM parameter variations and disturbances. Even though DTC schemes have been researched more in recent years, the rotor flux orientated vector control (RFOVC) architecture still dominates industrial applications. In this paper, instead of DTC, a DFSMO is developed under the RFOVC architecture which cannot be found in published literatures to demonstrate its transient and steady-state low speed performances at both motoring and regenerating mode. Analytical, simulation studies are presented and verified through a 3hp (2.2kW), 380V, 50Hz IM ASD experimental system.
Keywords :
induction motor drives; machine control; stators; torque control; variable structure systems; artificial intelligence; current regulated pulse width modulation controller; direct torque control; induction machines; industrial encoderless adjustable speed drives; low speed performances; model-reference-adaptive-system; neural network techniques; nonlinearity compensation; sliding mode variable structures; Mathematical model; Observers; Rotors; Stability analysis; Stators; Variable speed drives;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energy Conversion Congress and Exposition (ECCE), 2012 IEEE
Conference_Location :
Raleigh, NC
Print_ISBN :
978-1-4673-0802-1
Electronic_ISBN :
978-1-4673-0801-4
Type :
conf
DOI :
10.1109/ECCE.2012.6342539
Filename :
6342539
Link To Document :
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