A study on sensorless control of low-speed range for induction motors
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초록
This study proposes a new control system by combining indirect vector control using a space vector modulation with sen-sorless speed control using an AFE rectifier and current error compensation. The AFE method can control the harmonics included in the input power by actively controlling the input current of the AC power, and a quality power source can be achieved by controlling the power factor of the input voltage and current. To verify the applicability of the proposed algorithm and system, the response characteristics of the indirect vector control using a modified space vector pulse width modulation with an AFE rectifier and a 2.2 [kW] induction motor were analyzed through computer simulations and real-world experiments. As the results indicate, an excellent input current is supplied, and the speed response and load characteristics of the induction motor are of high quality even within an extremely low-speed range.
Abstract
This study proposes a new control system by combining indirect vector control using a space vector modulation with sen-sorless speed control using an AFE rectifier and current error compensation. The AFE method can control the harmonics included in the input power by actively controlling the input current of the AC power, and a quality power source can be achieved by controlling the power factor of the input voltage and current. To verify the applicability of the proposed algorithm and system, the response characteristics of the indirect vector control using a modified space vector pulse width modulation with an AFE rectifier and a 2.2 [kW] induction motor were analyzed through computer simulations and real-world experiments. As the results indicate, an excellent input current is supplied, and the speed response and load characteristics of the induction motor are of high quality even within an extremely low-speed range.
참고문헌 (10)
- H. Tajima, "Speed sensorless field-orientation control of the induction machine", IEEE Transactions on Industry Applications, 29(1), pp.175~180 (1993), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- M. -H. Shin, "An improved atator flux estimation for speed sensorless stator flux orientation control of induction motors", IEEE Trans-actions on Power Electronics, 15(2), pp.312~318 (2000)[DOI]
- M. T. Wishart, "Identification and control of induction machines using artificial neural networks", IEEE Transactions on Industry Applications, 31(3), pp.612~619 (1995)[DOI]
- M. Wlas, "Artificial-neural-network-based sensorless nonlinear control of induction motors", IEEE Transactions on Energy Conversion, 20(3), pp.520~528 (2005)[DOI]
- J. -H. Kim, "A sensorless control using extended Kalman filter for an IPM synchronous motor based on an extended rotor flux", IECON 2012 - 38th An-nual Conference on IEEE Industrial Electronics Society, pp.1631~1636 (2012)
- N. M. Tomy, "Modelling and simulation of a hybrid stepper motor in microstepping mode", International Journal of Advanced Technology in Engineering and Sci-ence, 3(9), pp.31~35 (2015)
- K. D. Hurst, "Sensorless speed measure-ment using current harmonic spectral estimation in induction machine drives", IEEE Transactions on Power Electronics, 11(1), pp.66~73 (1996)[DOI]
- P. Guglielmi, "Sensorless direct torque control for PM-assisted synchronous motors with injection high-frequency signal into stator flux reference frame", 2017 IEEE International Symposium on Sensorless Control for Electrical Drives(SLED), pp.139~144 (2017)
- Y. Yu, "Speed-sensorless vector control with single phase current sensor for induction motor drives using current compensa-tion method", 2018 21st International Conference on Elec-trical Machines and Systems (ICEMS), pp.1590~1594 (2018)
- T. Kikuchi, "Current compensation method for sensorless controlled induction motors operated in low switching frequency", 2012 15th In-ternational Conference on Electrical Machines and Systems (ICEMS), pp.1~4 (2012)