Sensorless speed drives of permanent magnet syhchronous motor using model reference adaptive control

In high performance drives, speed and torque controls of permanent magnet synchronous motors are usually attained by the application of position and speed sensors. However, speed and position sensors require the additional mounting space, reduce the reliability in harsh environments and increase the...

Full description

Saved in:

Bibliographic Details
Main Author:	Mustafa, Raihana
Format:	Thesis
Language:	English English
Published:	2015
Subjects:	T Technology (General)
Online Access:	http://eprints.utem.edu.my/id/eprint/16820/1/Sensorless%20Speed%20Drives%20Of%20Permanent%20Magnet%20Syhchronous%20Motor%20Using%20Model%20Reference%20Adaptive%20Control.pdf http://eprints.utem.edu.my/id/eprint/16820/2/Sensorless%20speed%20drives%20of%20permanent%20%20magnet%20synchronous%20motor%20using%20model%20%20reference%20adaptive%20control.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utem-ep.16820
record_format	uketd_dc
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
advisor	Ibrahim, Zulkifilie
topic	T Technology (General) T Technology (General)
spellingShingle	T Technology (General) T Technology (General) Mustafa, Raihana Sensorless speed drives of permanent magnet syhchronous motor using model reference adaptive control
description	In high performance drives, speed and torque controls of permanent magnet synchronous motors are usually attained by the application of position and speed sensors. However, speed and position sensors require the additional mounting space, reduce the reliability in harsh environments and increase the cost of the motor. Therefore, many studies have been carried out and reported to eliminate the speed and position sensors such as back electromotive force, signal injection, and others. However, these techniques have the drawbacks such as sensitive to machine parameter and others. The research focuses on investigation an evaluation of the sensorless speed control of surface mounted permanent magnet synchronous motor (SMPMSM) drives controlled by PI speed controller based on MRAC combined with V-I model and reactive power model. A Model Reference Adaptive Control (MRAC) has been chosen in this research based on its simplicity, good stability, and requires less computation. The SMPMSM is controlled using the principle of rotor flux orientation. Current control is performed in rotor reference frame based on SVPWM. The drives is simulated using SIMULINK/ MATLAB and the hardware implementation is based on dSPACE (DS1103). PI speed and current controllers are at first designed and the controller parameters are manually tuned to obtain steady state stability. A detailed investigation of the varies operating points; different speed command, forward-reverse speed operation, inertia variation and different speed command profiles. The overshoot/undershoot, settling time, and rise time of the speed response are used to evaluate the controller and speed estimation methods. The simulation and experimental with MRAC combined with V-I model speed estimation method results have proved that the drives is robust to the inertia variation, load rejection properties, speed variation and different initial speed profiles. Finally, the experimental investigation in MRAC combined with V-I model speed estimation method is performed in order to confirm the theoretical findings.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Mustafa, Raihana
author_facet	Mustafa, Raihana
author_sort	Mustafa, Raihana
title	Sensorless speed drives of permanent magnet syhchronous motor using model reference adaptive control
title_short	Sensorless speed drives of permanent magnet syhchronous motor using model reference adaptive control
title_full	Sensorless speed drives of permanent magnet syhchronous motor using model reference adaptive control
title_fullStr	Sensorless speed drives of permanent magnet syhchronous motor using model reference adaptive control
title_full_unstemmed	Sensorless speed drives of permanent magnet syhchronous motor using model reference adaptive control
title_sort	sensorless speed drives of permanent magnet syhchronous motor using model reference adaptive control
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty Of Electrical Engineering
publishDate	2015
url	http://eprints.utem.edu.my/id/eprint/16820/1/Sensorless%20Speed%20Drives%20Of%20Permanent%20Magnet%20Syhchronous%20Motor%20Using%20Model%20Reference%20Adaptive%20Control.pdf http://eprints.utem.edu.my/id/eprint/16820/2/Sensorless%20speed%20drives%20of%20permanent%20%20magnet%20synchronous%20motor%20using%20model%20%20reference%20adaptive%20control.pdf
_version_	1747833896328757248
spelling	my-utem-ep.168202022-06-01T15:11:37Z Sensorless speed drives of permanent magnet syhchronous motor using model reference adaptive control 2015 Mustafa, Raihana T Technology (General) TK Electrical engineering. Electronics Nuclear engineering In high performance drives, speed and torque controls of permanent magnet synchronous motors are usually attained by the application of position and speed sensors. However, speed and position sensors require the additional mounting space, reduce the reliability in harsh environments and increase the cost of the motor. Therefore, many studies have been carried out and reported to eliminate the speed and position sensors such as back electromotive force, signal injection, and others. However, these techniques have the drawbacks such as sensitive to machine parameter and others. The research focuses on investigation an evaluation of the sensorless speed control of surface mounted permanent magnet synchronous motor (SMPMSM) drives controlled by PI speed controller based on MRAC combined with V-I model and reactive power model. A Model Reference Adaptive Control (MRAC) has been chosen in this research based on its simplicity, good stability, and requires less computation. The SMPMSM is controlled using the principle of rotor flux orientation. Current control is performed in rotor reference frame based on SVPWM. The drives is simulated using SIMULINK/ MATLAB and the hardware implementation is based on dSPACE (DS1103). PI speed and current controllers are at first designed and the controller parameters are manually tuned to obtain steady state stability. A detailed investigation of the varies operating points; different speed command, forward-reverse speed operation, inertia variation and different speed command profiles. The overshoot/undershoot, settling time, and rise time of the speed response are used to evaluate the controller and speed estimation methods. The simulation and experimental with MRAC combined with V-I model speed estimation method results have proved that the drives is robust to the inertia variation, load rejection properties, speed variation and different initial speed profiles. Finally, the experimental investigation in MRAC combined with V-I model speed estimation method is performed in order to confirm the theoretical findings. 2015 Thesis http://eprints.utem.edu.my/id/eprint/16820/ http://eprints.utem.edu.my/id/eprint/16820/1/Sensorless%20Speed%20Drives%20Of%20Permanent%20Magnet%20Syhchronous%20Motor%20Using%20Model%20Reference%20Adaptive%20Control.pdf text en public http://eprints.utem.edu.my/id/eprint/16820/2/Sensorless%20speed%20drives%20of%20permanent%20%20magnet%20synchronous%20motor%20using%20model%20%20reference%20adaptive%20control.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=96171 mphil masters Universiti Teknikal Malaysia Melaka Faculty Of Electrical Engineering Ibrahim, Zulkifilie 1. Adam, A. A. & Gulez, K. 2008. Fast response adaptive fuzzy logic controller for sensorless direct torque control of PMSM with minimum torque ripple. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 27, 534-550. 2. Aite Driss, Y. & Yousfi, D. 2013 PMSM sensorless control using back-EMF based position and speed estimation method. In: Renewable and Sustainable Energy Conference (IRSEC), 2013 International 7-9 March 2013 2013. 436-440. 3. Alecsa, B., Cirstea, M. N. & Onea, A. 2012. Simulink Modeling and Design of an Efficient Hardware-Constrained FPGA-Based PMSM Speed Controller. Industrial Informatics, IEEE Transactions on, 8, 554-562. 4. Batzel, T. D. & Lee, K. Y. 2003. An approach to sensorless operation of the permanent-magnet synchronous motor using diagonally recurrent neural networks. Energy Conversion, IEEE Transactions on, 18, 100-106. 5. Boldea, I. & Nasar, S. A. 1992. Vector control of AC drives, CRC press. 6. Bolognani, S., Tubiana, L. & Zigliotto, M. 2003. Extended Kalman filter tuning in sensorless PMSM drives. Industry Applications, IEEE Transactions on, 39, 1741-1747. 7. Bose, B. K. 1986. Power electronics and AC drives. Englewood Cliffs, NJ, Prentice-Hall, 1986, 416 p., 1. 8. Bose, B. K. 1997. Power electronics and variable frequency drives–technology and application. Power Electronics and Variable Frequency Drive: Technology and Applications. 9. Bose, B. K. 2007. Neural Network Applications in Power Electronics and Motor Drives—An Introduction and Perspective. Industrial Electronics, IEEE Transactions on, 54, 14-33. 10. Boussak, M. 2005. Implementation and experimental investigation of sensorless speed control with initial rotor position estimation for interior permanent magnet synchronous motor drive. Power Electronics, IEEE Transactions on, 20, 1413-1422. 11. Butt, C. B., Ashraful Hoque, M. & Rahman, M. A. 2004. Simplified fuzzy-logic-based MTPA speed control of IPMSM drive. Industry Applications, IEEE Transactions on, 40, 1529-1535. 12. Castellan, S., Sulligoi, G. & Tessarolo, A. 2008 Comparative performance analysis of VSI and CSI supply solutions for high power multi-phase synchronous motor drives. In: Power Electronics, Electrical Drives, Automation and Motion, 2008. SPEEDAM 2008. International Symposium on 11-13 June 2008 2008. 854-859. 13. Chan-Hee, C. & Jul-Ki, S. 2008. Pulsating Signal Injection-Based Axis Switching Sensorless Control of Surface-Mounted Permanent-Magnet Motors for Minimal Zero-Current Clamping Effects. Industry Applications, IEEE Transactions on, 44, 1741-1748. 14. Chaurasiya, B. R., Patil, M. D., Shah, D. & Kadam, A. 2014 FPGA implementation of SVPWM control technique for three phase induction motor drive using fixed point realization. In: Circuits, Systems, Communication and Information Technology Applications (CSCITA), 2014 International Conference on 4-5 April 2014 2014. 93-98. 15. Cheok, A. D. & Zhongfang, W. 2005. Fuzzy logic rotor position estimation based switched reluctance motor DSP drive with accuracy enhancement. Power Electronics, IEEE Transactions on, 20, 908-921. 16. Chuanyang, W. & Longya, X. 2004. A novel approach for sensorless control of PM machines down to zero speed without signal injection or special PWM technique. Power Electronics, IEEE Transactions on, 19, 1601-1607. 17. Corley, M. J. & Lorenz, R. D. 1998. Rotor position and velocity estimation for a salient-pole permanent magnet synchronous machine at standstill and high speeds. Industry Applications, IEEE Transactions on, 34, 784-789. 18. Dchich, K., Zaafouri, A. & Chaari, A. 2014 Robust sensorless speed observer-controller scheme for Permanent Magnet Synchronous Motor. In: Control, Decision and Information Technologies (CoDIT), 2014 International Conference on 3-5 Nov. 2014 2014. 724-729. 19. Dos Reis, L. L. N., Sobreira, F., Coelho, A. R. R., Almeida, O. M., Campos, J. C. T. & Daher, S. 2009 Identification and adaptive speed control for switched reluctance motor using DSP. In: Power Electronics Conference, 2009. COBEP '09. Brazilian Sept. 27 2009-Oct. 1 2009 2009. 836-841. 20. Dusmez, S., Ling, Q. & Akin, B. 2015. A New SVPWM Technique for DC Negative Rail Current Sensing at Low Speeds. Industrial Electronics, IEEE Transactions on, 62, 826-831. 21. El-Sousy, F. F. M. 2004 High-performance neural-network model-following speed controller for vector-controlled PMSM drive system. In: Industrial Technology, 2004. IEEE ICIT '04. 2004 IEEE International Conference on 8-10 Dec. 2004 2004. 418-424 Vol. 1. 22. Elbuluk, M. E., Liu, T. & Husain, I. 2002. Neural-network-based model reference adaptive systems for high-performance motor drives and motion controls. Industry Applications, IEEE Transactions on, 38, 879-886. 23. Eskola, M. & Tuusa, H. 2003 Comparison of MRAS and novel simple method for position estimation in PMSM drives. In: Power Electronics Specialist Conference, 2003. PESC '03. 2003 IEEE 34th Annual 15-19 June 2003 2003. 550-555 vol.2. 24. Espina, J., Arias, A., Balcells, J. & Ortega, C. 2009 Speed Anti-Windup PI strategies review for Field Oriented Control of Permanent Magnet Synchronous Machines. In: Compatibility and Power Electronics, 2009. CPE '09. 20-22 May 2009 2009. 279-285. 25. Fei, Y., Xiaofeng, Z., Minzhong, Q. & Chengdong, D. 2008 The direct torque control of multiphase permanent magnet synchronous motor based on low harmonic space vector PWM. In: Industrial Technology, 2008. ICIT 2008. IEEE International Conference on 21-24 April 2008 2008. 1-5. 26. Genduso, F., Miceli, R., Rando, C. & Galluzzo, G. R. 2010. Back EMF Sensorless-Control Algorithm for High-Dynamic Performance PMSM. Industrial Electronics, IEEE Transactions on, 57, 2092-2100. 27. Geyer, T., Papafotiou, G. & Morari, M. 2009. Model Predictive Direct Torque Control—Part I: Concept, Algorithm, and Analysis. Industrial Electronics, IEEE Transactions on, 56, 1894-1905. 28. Hamdi, M., Lachiver, G. & Ghribi, M. 1995 A sensorless control scheme based on fuzzy logic for AC servo drives using a permanent-magnet synchronous motor. In: Electrical and Computer Engineering, 1995. Canadian Conference on 5-8 Sep 1995 1995. 306-309 vol.1. 29. Hui, L., Quan, Y., Xi, L., Yang, L. & Huijin, F. 2014 An improved adaptive observer for permanent magnet synchronous motor. In: Industrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on 9-11 June 2014 2014. 1301-1306. 30. Hyunbae, K., Sungmo, Y., Namsu, K. & Lorenz, R. D. 2005 Using low resolution position sensors in bumpless position/speed estimation methods for low cost PMSM drives. In: Industry Applications Conference, 2005. Fourtieth IAS Annual Meeting. Conference Record of the 2005 2-6 Oct. 2005 2005. 2518-2525 Vol. 4. 31. Idkhajine, L., Monmasson, E. & Maalouf, A. 2010 Extended Kalman Filter for AC drive Sensorless Speed Controller - FPGA-based solution or DSP-based solution. In: Industrial Electronics (ISIE), 2010 IEEE International Symposium on 4-7 July 2010 2010. 2759-2764. 32. Ji-Hoon, J., Seung-Ki, S., Jung-Ik, H., Ide, K. & Sawamura, M. 2003. Sensorless drive of surface-mounted permanent-magnet motor by high-frequency signal injection based on magnetic saliency. Industry Applications, IEEE Transactions on, 39, 1031-1039. 33. Jiangang, H., Longya, X. & Jingbo, L. 2006 Magnetic Pole Identification for PMSM at Zero Speed Based on Space Vector PWM. In: Power Electronics and Motion Control Conference, 2006. IPEMC 2006. CES/IEEE 5th International 14-16 Aug. 2006 2006. 1-5. 34. Jinseok, H., Sungyoon, J. & Kwanghee, N. 2010 An incorporation method of sensorless algorithms: Signal injection and back EMF based methods. In: Power Electronics Conference (IPEC), 2010 International 21-24 June 2010 2010. 2743-2747. 35. Jul-Ki, S., Jong-Kun, L. & Dong-Choon, L. 2006. Sensorless speed control of nonsalient permanent-magnet synchronous motor using rotor-position-tracking PI controller. Industrial Electronics, IEEE Transactions on, 53, 399-405. 36. Kim, Y. S., Choi, Y. K. & Lee, J. H. 2005. Speed-sensorless vector control for permanent-magnet synchronous motors based on instantaneous reactive power in the wide-speed region. Electric Power Applications, IEE Proceedings -, 152, 1343-1349. 37. Krishnan, R. 2001. Electric motor drives: modeling, analysis, and control, Prentice Hall Englewood Cliffs. 38. Krishnan, R. 2010. Permanent magnet synchronous and brushless DC motor drives, CRC press. 39. Kubota, K., Sato, I., Tamura, Y., Matsuse, K., Ohta, H. & Hori, Y. 2002. Regenerating-mode low-speed operation of sensorless induction motor drive with adaptive observer. Industry Applications, IEEE Transactions on, 38, 1081-1086. 40. Kyeong-Hwa, K., Se-Kyo, C., Gun-Woo, M., In-Cheol, B. & Myung-Joong, Y. 1995 Parameter estimation and control for permanent magnet synchronous motor drive using model reference adaptive technique. In: Industrial Electronics, Control, and Instrumentation, 1995., Proceedings of the 1995 IEEE IECON 21st International Conference on 6-10 Nov 1995 1995. 387-392 vol.1. 41. Lachman, T., Mohamad, T. R. & Fong, C. H. 2004. Nonlinear modelling of switched reluctance motors using artificial intelligence techniques. Electric Power Applications, IEE Proceedings -, 151, 53-60. 42. Landau, Y. D. 1979. Adaptive control: the model reference approach, IET. 43. Leonhard, W. 2001. Control of a Separately Excited DC Machine. Control of Electrical Drives, 77-96. 44. Lixin, T., Limin, Z., Rahman, M. F. & Yuwen, H. 2004. A novel direct torque controlled interior permanent magnet synchronous machine drive with low ripple in flux and torque and fixed switching frequency. Power Electronics, IEEE Transactions on, 19, 346-354. 45. Luczak, D. & Siembab, K. 2014 Comparison of fault tolerant control algorithm using space vector modulation of PMSM drive. In: Mechatronics - Mechatronika (ME), 2014 16th International Conference on 3-5 Dec. 2014 2014. 24-31. 46. Maiti, S., Chakraborty, C., Hori, Y. & Ta, M. C. 2008. Model Reference Adaptive Controller-Based Rotor Resistance and Speed Estimation Techniques for Vector Controlled Induction Motor Drive Utilizing Reactive Power. Industrial Electronics, IEEE Transactions on, 55, 594-601. 47. Marwali, M. N. & Keyhani, A. 1997 A comparative study of rotor flux based MRAS and back EMF based MRAS speed estimators for speed sensorless vector control of induction machines. In: Industry Applications Conference, 1997. Thirty-Second IAS Annual Meeting, IAS '97., Conference Record of the 1997 IEEE 5-9 Oct 1997 1997. 160-166 vol.1. 48. Nahid-Mobarakeh, B., Meibody-Tabar, F. & Sargos, F.-M. 2007. Back EMF Estimation-Based Sensorless Control of PMSM: Robustness With Respect to Measurement Errors and Inverter Irregularities. Industry Applications, IEEE Transactions on, 43, 485-494. 49. Naitoh, H. & Tadakuma, S. 1987. Microprocessor-Based Adjustable-Speed DC Motor Drives Using Model Reference Adaptive Control. Industry Applications, IEEE Transactions on, IA-23, 313-318. 50. Naouar, M. W., Naassani, A., Monmasson, E. & Slama-Belkhodja, I. 2006 FPGA-Based Speed Control of Synchronous Machine using a P-PI Controller. In: Industrial Electronics, 2006 IEEE International Symposium on 9-13 July 2006 2006. 1527-1532. 51. Nazlee, A. M., Hamid, N. H., Hussin, F. A. & Ali, N. B. Z. 2010 Space Vector PWM for PMSM simulation using Matlab Simulink. In: Circuits and Systems (APCCAS), 2010 IEEE Asia Pacific Conference on 6-9 Dec. 2010 2010. 1127-1130. 52. Nguyen Khanh, Q., Nguyen Trung, H., Hunter, G. P. & Ha, Q. P. 2012 FPGA-based sensorless PMSM drive using parallel reduced-order Extended Kalman Filter. In: Control, Automation and Information Sciences (ICCAIS), 2012 International Conference on 26-29 Nov. 2012 2012. 164-169. 53. Nisha, G. K., Lakaparampil, Z. V. & Ushakumari, S. 2012 Sensorless vector control of SVPWM inverter fed induction machine using MRAS-sliding mode. In: Green Technologies (ICGT), 2012 International Conference on 18-20 Dec. 2012 2012. 029-036. 54. Omrane, I., Dib, W., Etien, E. & Bachelier, O. 2013 Sensorless control of PMSM based on a nonlinear observer and a high-frequency signal injection for automotive applications. In: Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE 10-13 Nov. 2013 2013. 3130-3135. 55. Orlowska-Kowalska, T. & Dybkowski, M. 2010. Stator-Current-Based MRAS Estimator for a Wide Range Speed-Sensorless Induction-Motor Drive. Industrial Electronics, IEEE Transactions on, 57, 1296-1308. 56. Ortega, R., Praly, L., Astolfi, A., Junggi, L. & Kwanghee, N. 2011. Estimation of Rotor Position and Speed of Permanent Magnet Synchronous Motors With Guaranteed Stability. Control Systems Technology, IEEE Transactions on, 19, 601-614. 57. Paicu, M. C., Boldea, I., Andreescu, G. D. & Blaabjerg, F. 2009. Very low speed performance of active flux based sensorless control: interior permanent magnet synchronous motor vector control versus direct torque and flux control. Electric Power Applications, IET, 3, 551-561. 58. Papafotiou, G., Kley, J., Papadopoulos, K. G., Bohren, P. & Morari, M. 2009. Model Predictive Direct Torque Control—Part II: Implementation and Experimental Evaluation. Industrial Electronics, IEEE Transactions on, 56, 1906-1915. 59. Peixo, Z. M. A., Sa, F. M. F., Seixas, P. F., Menezes, B. R., Cortizo, P. C. & Lacerda, W. S. 1995 Application of sliding mode observer for induced e.m.f., position and speed estimation of permanent magnet motors. In: Power Electronics and Drive Systems, 1995., Proceedings of 1995 International Conference on 21-24 Feb 1995 1995. 599-604 vol.2. 60. Pillay, P. & Krishnan, R. 1989. Modeling, simulation, and analysis of permanent-magnet motor drives. I. The permanent-magnet synchronous motor drive. Industry Applications, IEEE Transactions on, 25, 265-273. 61. Quang Nguyen, K., That, N. D., Quang Nguyen, H. & Ha, Q. P. 2012 FPGA-based fuzzy sliding mode control for sensorless PMSM drive. In: Automation Science and Engineering (CASE), 2012 IEEE International Conference on 20-24 Aug. 2012 2012. 172-177. 62. Repecho, V., Biel, D. & Arias, A. 2014 Enhanced high frequency injection algorithm for sensorless Sliding Mode Control PMSM drives. In: Multi-Conference on Systems, Signals & Devices (SSD), 2014 11th International 11-14 Feb. 2014 2014. 1-6. 63. Sagar, S. V. & Joseph, K. D. 2013 Speed estimation algorithms for sensorless control of PMSM. In: Automation, Computing, Communication, Control and Compressed Sensing (iMac4s), 2013 International Multi-Conference on 22-23 March 2013 2013. 138-143. 64. Saidur, R., Rahim, N. A., Ping, H. W., Jahirul, M. I., Mekhilef, S. & Masjuki, H. H. 2009. Energy and emission analysis for industrial motors in Malaysia. Energy Policy, 37, 3650-3658. 65. Seong-Hwan, K., Tae-Sik, P., Ji-Yoon, Y. & Gwi-Tae, P. 2001. Speed-sensorless vector control of an induction motor using neural network speed estimation. Industrial Electronics, IEEE Transactions on, 48, 609-614. 66. Shibeshi, D. 2007. DSP BASED FIELD WEAKENING CONTROL OF PMSM. Addis Ababa University. 67. Shinnaka, S. 2006. New sensorless vector control using minimum-order flux state observer in a stationary reference frame for permanent-magnet synchronous motors. Industrial Electronics, IEEE Transactions on, 53, 388-398. 68. Simon, E. 1999. Implementation of a speed field oriented control of 3-phase PMSM motor using TMS320F240. Texas Instrument Application Report SPRA588. 69. Singh, B., Singh, B. P. & Dwivedi, S. 2006 DSP Based Implementation of Fuzzy Precompensated PI Speed Controller for Vector Controlled PMSM Drive. In: Industrial Electronics and Applications, 2006 1ST IEEE Conference on 24-26 May 2006 2006. 1-6. 70. Smidl, V. & Peroutka, Z. 2012. Advantages of Square-Root Extended Kalman Filter for Sensorless Control of AC Drives. Industrial Electronics, IEEE Transactions on, 59, 4189-4196. 71. Thomsen, S., Hoffmann, N. & Fuchs, F. W. 2011. PI Control, PI-Based State Space Control, and Model-Based Predictive Control for Drive Systems With Elastically Coupled Loads—A Comparative Study. Industrial Electronics, IEEE Transactions on, 58, 3647-3657. 72. Uddin, M. N. & Azizur Rahman, M. 2007. High-Speed Control of IPMSM Drives Using Improved Fuzzy Logic Algorithms. Industrial Electronics, IEEE Transactions on, 54, 190-199. 73. Vas, P. 1990. Vector control of AC machines, Clarendon press Oxford. 74. Vas, P. 1998. Sensorless vector and direct torque control, Oxford university press Oxford, UK. 75. Wang, Z., Lu, Q., Ye, Y., Lu, K. & Fang, Y. 2012. Investigation of PMSM Back-EMF using Sensorless Control with Parameter Variations and Measurement Errors. Przeglad Elektrotechniczny, 88, 182-186. 76. Xudong, W., Risha, N. & Ning, L. 2009 Simulation of PMSM field-oriented control based on SVPWM. In: Vehicle Power and Propulsion Conference, 2009. VPPC '09. IEEE 7-10 Sept. 2009 2009. 1465-1469. 77. Yang, Y., Vilathgamuwa, D. M. & Azizur Rahman, M. 2003. Implementation of an artificial-neural-network-based real-time adaptive controller for an interior permanent-magnet motor drive. Industry Applications, IEEE Transactions on, 39, 96-104. 78. Yen-Shin, L., Wen-Ke, W. & Yen-Chang, C. 2004. Novel switching techniques for reducing the speed ripple of AC drives with direct torque control. Industrial Electronics, IEEE Transactions on, 51, 768-775. 79. Ying-Shieh, K., Nguyen Vu, Q., Chung-Chun, H. & Liang-Chiao, H. 2012 Design and simulation of adaptive speed control for SMO-based sensorless PMSM drive. In: Intelligent and Advanced Systems (ICIAS), 2012 4th International Conference on 12-14 June 2012 2012. 439-444. 80. Young Sam, K., Sang Kyoon, K. & Young Ahn, K. 2003 MRAS based sensorless control of permanent magnet synchronous motor. In: SICE 2003 Annual Conference 4-6 Aug. 2003 2003. 1632-1637 Vol.2. 81. Zhiqian, C., Tomita, M., Doki, S. & Okuma, S. 2003. An extended electromotive force model for sensorless control of interior permanent-magnet synchronous motors. Industrial Electronics, IEEE Transactions on, 50, 288-295.

Sensorless speed drives of permanent magnet syhchronous motor using model reference adaptive control

Similar Items