The Effect of Motor Parameters on the Induction Motor Speed Sensorless Control System using Luenberger Observer
(1) Sanata Dharma University
(*) Corresponding Author
Abstract
The sensorless control system is a control system without a controlled variable sensor. The controlled variable is estimated using an observer. In this investigation, the sensorless control system is used to control induction motor speed. The observer that is used is the Luenberger observer. One of the drawbacks of the sensorless control system is precision motor parameter values. In this research, the effect of induction motor parameters in a speed sensorless control system, i.e. resistance and inductance motor, will be investigated. The differences in induction motor parameters between the controller and the actual value affect the system response. The value differences of Rr and Rs that can be applied are a maximum of 50%. However, the small differences in the inductance value greatly affect the system response. To get a good response, the value differences of Ls and Lr are between -5% to +5%, while the difference in the value of Lm is between -3% to +3%.
Full Text:
PDFReferences
E. Engineering, U. Indonesia, and K. U. I. Depok, “Jurnal Teknologi A SYNCHRONIZATION LOSS DETECTION METHOD,” vol. 4, pp. 47–54, 2020.
P. Vas, “Sensorless Vector and Direct Torque Control.”
O. Avalos, E. Cuevas, and J. Gálvez, “Induction motor parameter identification using a gravitational search algorithm,” Computers, vol. 5, no. 2, 2016, doi: 10.3390/computers5020006.
A. C. Megherbi, H. Megherbi, K. Benmahamed, A. G. Aissaoui, and A. Tahour, “Parameter identification of induction motors using variable-weighted cost function of genetic algorithms,” J. Electr. Eng. Technol., vol. 5, no. 4, pp. 597–605, 2010, doi: 10.5370/JEET.2010.5.4.597.
S. Yamamoto and H. Hirahara, “Effect of Parameter Tuning on Driving Performance of a Universal-Sensorless-Vector-Controlled Closed-Slot Cage Induction Motor,” 2019 22nd Int. Conf. Electr. Mach. Syst. ICEMS 2019, 2019, doi: 10.1109/ICEMS.2019.8921692.
Bernadeta Wuri Harini, “Pengaruh Parameter Motor pada Sistem Kendali tanpa Sensor Putaran,” J. Nas. Tek. Elektro dan Teknol. Inf., vol. 10, no. 3, pp. 236–242, 2021, doi: 10.22146/jnteti.v10i3.1848.
A. Glumineau and J. de León Morales, Sensorless AC electric motor control. Springer, 2015.
F. Yusivar and N. Avianto Wicaksono, “Simulasi Mesin Induksi Tanpa Sensor Kecepatan Menggunakan Pengendali Orientasi Vektor,” J. Nas. Tek. Elektro dan Teknol. Inf., vol. 4, no. 4, 2016, doi: 10.22146/jnteti.v4i4.171.
R. Ridwan, E. Purwanto, H. Oktavianto, M. R. Rusli, and H. Toar, “Desain Kontrol Kecepatan Motor Induksi Tiga Fasa Menggunakan Fuzzy Pid Berbasis Idirect Field Oriented Control,” J. Integr., vol. 11, no. 2, pp. 146–155, 2019, doi: 10.30871/ji.v11i2.1356.
J. Agrawal and S. Bodkhe, “Low speed sensorless control of PMSM drive using high frequency signal injection,” 12th IEEE Int. Conf. Electron. Energy, Environ. Commun. Comput. Control (E3-C3), INDICON 2015, pp. 4–9, 2016, doi: 10.1109/INDICON.2015.7443383.
F. Semiconductor, “3-Phase AC Induction Motor Vector Control Using a 56F8300 Device,” Memory, 2005.
R. Gunawan and F. Yusivar, “Reducing estimation error due to digitizing problem in a speed sensorless control of induction motor,” IECON Proc. (Industrial Electron. Conf., vol. 2005, no. 1, pp. 1677–1682, 2005, doi: 10.1109/IECON.2005.1569157.
F. Yusivar, H. Haratsu, T. Kihara, S. Wakao, and T. Onuki, “Performance comparison of the controller configurations for the sensorless IM drive using the modified speed adaptive observer,” IEE Conf. Publ., no. 475, pp. 194–200, 2000, doi: 10.1049/cp:20000244.
F. Yusivar and S. Wakao, “Minimum requirements of motor vector control modeling and simulation utilizing C MEX S-function in MATLAB/SIMULINK,” Proc. Int. Conf. Power Electron. Drive Syst., vol. 1, pp. 315–321, 2001, doi: 10.1109/peds.2001.975333.
DOI: https://doi.org/10.24071/ijasst.v4i1.4518
Refbacks
- There are currently no refbacks.
Publisher : Faculty of Science and Technology
Society/Institution : Sanata Dharma University
This work is licensed under a Creative Commons Attribution 4.0 International License.