Sensorless inverter-fed compressor drive system using back-EMF estimator with pidnn torque observer

NCUIR > College of Electrical Engineering & Computer Science > Department of Electrical Engineering > journal & Dissertation > Item 987654321/108192

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/108192

Title:	Sensorless inverter-fed compressor drive system using back-EMF estimator with pidnn torque observer
Authors:	林法正;Lin, Faa-Jeng;Hung, Ying-Chih;Chen, Jia-Ming;Kao, Zi-Yin
Contributors:	資訊電機學院電機工程學系
Keywords:	Algorithms;Control systems;Design engineering;interior permanent magnet synchronous motor;Motors;Neural networks;Product design;proportional-integral-derivative neural network;rotor flux angle and speed estimation;saliency back-EMF;Sensorless DC inverter-fed compressor;torque observer
Date:	2014-01-01
Issue Date:	2026-04-23 14:38:19 (UTC+8)
Publisher:	Wiley-Blackwell;Hoboken: Blackwell Publishing Ltd
Abstract:	摘要： A saliency back‐EMF estimator with a proportional–integral–derivative neural network (PIDNN) torque observer is proposed in this study to improve the speed estimating performance of a sensorless interior permanent magnet synchronous motor (IPMSM) drive system for an inverter‐fed compressor. The PIDNN torque observer is proposed to replace the conventional proportional–integral–derivative (PID) torque observer in a saliency back‐EMF estimator to improve the estimating performance of the rotor flux angle and speed. The proposed sensorless control scheme use square‐wave type voltage injection method as the start‐up strategy to achieve sinusoidal starting. When the motor speed gradually increases to a preset speed, the sensorless drive will switch to the conventional saliency back‐EMF estimator using the PID observer or the proposed saliency back‐EMF estimator using the PIDNN observer for medium and high speed control. The theories of the proposed saliency back‐EMF rotor flux angle and speed estimation method are introduced in detail. Moreover, the network structure, the online learning algorithms and the convergence analyses of the PIDNN are discussed. Furthermore, a DSP‐based control system is developed to implement the sensorless inverter‐fed compressor drive system. Finally, some experimental results are given to verify the feasibility of the proposed estimator. 其他題名： Asian Journal of Control 出版者： Hoboken: Blackwell Publishing Ltd 出版日期： 2014-07 出處： Asian journal of control, 2014-07, Vol.16 (4), p.1042-1056 版權： 2013 Chinese Automatic Control Society and Wiley Publishing Asia Pty Ltd 版權： Copyright © 2014 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society 識別號： ISSN: 1561-8625 識別號： EISSN: 1934-6093 識別號： DOI: 10.1002/asjc.786
Appears in Collections:	[Department of Electrical Engineering] journal & Dissertation

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