Sensorless control of induction motor drives equipped with inverter output filter

2005 ◽  
Author(s):  
J. Salomaki ◽  
M. Hinkkanen ◽  
J. Luomi
Keyword(s):  
Induction Motor ◽  
Sensorless Control ◽  
Motor Drives ◽  
Induction Motor Drives ◽  
Output Filter

Discrete-time sliding mode speed observer for sensorless control of induction motor drives

2012 ◽  
Vol 6 (9) ◽  
pp. 681 ◽  
Author(s):  
R.P. Vieira ◽  
C.C. Gastaldini ◽  
R.Z. Azzolin ◽  
H.A. Gründling
Keyword(s):  
Induction Motor ◽  
Discrete Time ◽  
Sliding Mode ◽  
Sensorless Control ◽  
Motor Drives ◽  
Induction Motor Drives

Displacement sensorless control for bearingless induction motor drives based on the MRAS method

2020 ◽  
Vol 62 (4) ◽  
pp. 787-805 ◽  
Author(s):  
Ke Li ◽  
Feng Ling ◽  
Xiaodong Sun ◽  
Yingfeng Cai ◽  
Dean Zhao ◽  
...  
Keyword(s):  
Induction Motor ◽  
Sensorless Control ◽  
Motor Drives ◽  
Induction Motor Drives

scholarly journals Open-Phase Fault Detection Method for Sensorless Five-Phase Induction Motor Drives with an Inverter Output Filter

2019 ◽  
Vol 4 (1) ◽  
pp. 191-202 ◽  
Author(s):  
Patryk Strankowski ◽  
Jarosław Guziński ◽  
Filip Wilczyński ◽  
Marcin Morawiec ◽  
Arkadiusz Lewicki
Keyword(s):  
Fault Detection ◽  
Induction Motor ◽  
Detection Method ◽  
Motor Drives ◽  
Induction Motor Drives ◽  
Third Harmonic ◽  
Open Phase ◽  
System A ◽  
Two Phases ◽  
Output Filter

Abstract The paper presents the sensorless five-phase induction motor drive implementation with an inverter output filter with third harmonic injection. For the sensorless operation, the required observers are presented for the first and third harmonics with consideration of the inverter output filter. Moreover, the interaction of the observers and the control system is capable to handle a deactivation of one or two phases, which improves the reliability of the complete drive system. A new idea of online open-phase fault detection is presented based on the frequency analysis of the estimated observer variables. The test setup, fault operation capabilities and an experimental verification of the proposed fault detection method are presented in the paper.

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