NDLI: Research and simulation on ANN speed-sensorless three-level inverter vector control system for induction motor

Content Provider	IEEE Xplore Digital Library
Author	Wei Jiang Xiao Yun Feng Qing Yuan Wang
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. Eng., Southwest Jiao Tong Univ., Chengdu (Wei Jiang; Xiao Yun Feng; Qing Yuan Wang)
Abstract	This paper presents a new speed-sensorless vector control drive system for induction motor. In order to produce low harmonics in output voltage and current, reduce the torque fluctuation, and avoid the high voltage jump in switching time, the system utilizes three-level inverter to supply power for the induction motor and a SVPWM scheme with neutral point voltage balance strategy is applied for the three-level inverter. The speed estimator in this system is constructed based on artificial neural network (ANN) theory. Compared with the conventional model reference adaptive system (MRAS) method realized dependent on the PI controller, ANN speed estimator uses the intelligent learning algorithm to complete the speed estimation so that a real-time identification of the motor speed is acquired precisely with excellent dynamic response in various conditions. This paper describes both the theoretical analysis as well as the simulation results to verify the effectiveness of this drive system.
Starting Page	1577
Ending Page	1581
File Size	833021
Page Count	5
File Format	PDF
ISBN	9781424438266
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	IEEE Consumer Electronics Society(CES)
Subject Keyword	Inverters Machine vector control Induction motors Artificial neural networks Voltage Power system harmonics Torque Fluctuations Power supplies Space vector pulse width modulation
Content Type	Text
Resource Type	Article

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