Research of Sensorless Vector Control Performance for Induction Motor at Very Low-speed and Zero-speed

被引：0

作者：

Lyu Y. ^{[1
]}

Liu Z. ^{[1
]}

Su T. ^{[1
]}

Huang X. ^{[1
]}

Su X. ^{[1
]}

机构：

[1] College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, 266590, Shandong Province

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2019年 / 39卷 / 20期

关键词：

Adaptive full-order observer; Induction motor; Magnetizing current error; Speed adaptation rate; Speed-sensorless; Stability analysis;

D O I：

10.13334/j.0258-8013.pcsee.181569

中图分类号：

学科分类号：

摘要：

In the speed-sensorless induction motor (IM) drive system adopting the adaptive full-order observe (AFO) method, the capability of drive is poor at low-speed range. To solve the problem, a novel method based on the principle of minimum magnetizing current error was proposed, and the feedback gains were designed accordingly. On the basis, the magnetizing current error was used in the speed adaptive law and then suitable weighting factor was introduce, and enhanced speed adaptive law. Thus, the magnetizing current error was minimized by a new algorithm combining the above two. The method aims to reduce the flux linkage error by reducing the magnetizing current error, thereby ensuring the constant magnetic flux of IM in the full speed range, and solving the problem of weak load capacity and reduced speed accuracy at very low-speed and zero-speed conditions. The feasibility of the proposed scheme was verified by the experimental results of 2.2kW induction motor platforms. Experimental results show that the proposed algorithm can achieve good performance under the condition of 15r/min to 3r/min and zero-speed with rated load, which is quite practical. © 2019 Chin. Soc. for Elec. Eng.

引用

页码：6095 / 6103

页数：8

共 22 条

[1] Leppanen V.M., Luomi J., Speed-sensorless induction machine control for zero speed and frequency, IEEE Transactions on Industrial Electronics, 51, 5, pp. 1041-1047, (2004)
[2] Zbede Y.B., Gadoue S.M., Atkinson D.J., Model predictive MRAS estimator for sensorless induction motor drives, IEEE Transactions on Industrial Electronics, 63, 6, pp. 3511-3521, (2016)
[3] Zhang Y., Yang H., Model predictive control for speed sensorless induction motor drive, Proceedings of the CSEE, 34, 15, pp. 2422-2429, (2014)
[4] Sun Y., Shen Q., Shi K., Et al., Speed-sensorless control system of bearingless induction motor based on the novel extended Kalman Filter, Transactions of China Electrotechnical Society, 33, 13, pp. 2946-2955, (2018)
[5] Pereira W.C.A., Oliveira C.M.R., Santana M.P., Et al., Improved sensorless vector control of induction motor using sliding mode observer, IEEE Latin America Transactions, 14, 7, pp. 3110-3116, (2016)
[6] Zaky M.S., Metwaly M.K., Azazi H.Z., Et al., A new adaptive SMO for speed estimation of sensorless induction motor drives at zero and very low frequencies, IEEE Transactions on Industrial Electronics, 65, 9, pp. 6901-6911, (2018)
[7] Alsofyani I.M., Idris N.R.N., Simple flux regulation for improving state estimation at very low and zero speed of a speed sensorless direct torque control of an induction motor, IEEE Transactions on Power Electronics, 31, 4, pp. 3027-3035, (2016)
[8] Yuan R., Zhu Z.Q., Liu J., Direct torque control of permanent-magnet synchronous machine drives with a simple duty ratio regulator, IEEE Transactions on Industrial Electronics, 61, 10, pp. 5249-5258, (2014)
[9] Harnefors L., Hinkkanen M., Complete stability of reduced-order and full-order observers for sensorless IM drives, IEEE Transactions on Industrial Electronics, 55, 3, pp. 1319-1329, (2008)
[10] Suwankawin S., Sangwongwanich S., Design strategy of an adaptive full-order observer for speed-sensorless induction-motor drives-tracking performance and stabilization, IEEE Transactions on Industrial Electronics, 53, 1, pp. 96-119, (2006)

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