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유도 전동기 센서리스 제어를 위한 동기 각속도 오차 보상기를 갖는 향상된 Programmable LPF 자속 추정기Improved Programmable LPF Flux Estimator with Synchronous Angular Speed Error Compensator for Sensorless Control of Induction Motors

Other Titles
Improved Programmable LPF Flux Estimator with Synchronous Angular Speed Error Compensator for Sensorless Control of Induction Motors
Authors
이상수박병건김래영현동석
Issue Date
Jun-2013
Publisher
전력전자학회
Keywords
induction motor; programmable low pass filter; sensorless control
Citation
전력전자학회 논문지, v.18, no.3, pp.232 - 239
Indexed
KCI
Journal Title
전력전자학회 논문지
Volume
18
Number
3
Start Page
232
End Page
239
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/162551
DOI
10.6113/TKPE.2013.18.3.232
ISSN
1229-2214
Abstract
This paper proposes an improved stator flux estimator through ensuring conventional PLPF to act as a pure integrator for sensorless control of induction motors. Conventional PLPF uses the estimated synchronous speed as a cut-off frequency and has the gain and phase compensators. The gain and phase compensators are determined on the assumption that the estimated synchronous angular speed is coincident with the real speed. Therefore, if the synchronous angular speed is not same as the real speed, the gain and phase compensation will not be appropriate. To overcome the problem of conventional PLPF, this paper analyzes the relationship between the synchronous speed error and the phase lag error of the stator flux. Based on the analysis, this paper proposes the synchronous speed error compensation scheme. To achieve a start-up without speed sensor, the current model is used as the stator flux estimator at the standstill. When the motor starts up, the current model should be switched into the voltage model. So a stable transition between the voltage model and the current model is required. This paper proposes the simple transition method which determines the initial values of the voltage model and the current model at the transition moment. The validity of the proposed schemes is proved through the simulation results and the experimental results.
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