Home> > IET Electric Power Applications> Volume 14, Issue 11> Article
- Author(s):Yawer Abbas Khan 1andVimlesh Verma 1
- View affiliations
- Affiliations: 1:Department of Electrical Engineering , National Institute of Technology Patna , Patna , India
- Affiliations: 1:Department of Electrical Engineering , National Institute of Technology Patna , Patna , India
- Source: Volume 14, Issue 11,November2020, p.2212 – 2221
DOI:10.1049/iet-epa.2020.0277,Print ISSN 1751-8660,Online ISSN 1751-8679
- « Previous Article
- Table of contents
- Next Article »
© The Institution of Engineering and Technology
Received27/04/2020,Accepted 07/07/2020,Revised 23/06/2020,Published 17/07/2020
- Article
- References (39)
- Cited By (0)
- Supplementary material (0)
- Keywords
- Related Content
This study deals with the unipolar excitation-based speed sensorless vector controlled switched reluctance motor drive. For speed sensorless operation, Z-MRAS (Z-model reference adaptive system) based speed estimator is proposed where ‘Z’ is a fictitious quantity. This novel structure is completely independent of the stator resistance and DC component of self-inductance. Also, in the formulation, integrator and differentiator terms are absent. The proposed formulation is perceived as stable in the entire four-quadrant zone of operation. Detailed stability and sensitivity analysis has been carried out for the proposed estimation scheme. The practicality of the proposed formulation is confirmed through simulation in MATLAB/SIMULINK platform and by carrying out the experimentation on a dSPACE-1104 based prototype.
Inspec keywords: machine control;model reference adaptive control systems;machine vector control;rotors;angular velocity control;induction motor drives;stators;sensorless machine control;reluctance motor drives
Other keywords: reference adaptive system;vector controlled;differentiator terms;DC component;unipolar excitation-based speed;improved MRAS based speed estimation;dSPACE-1104 based prototype;fictitious quantity;reluctance motor drive;speed sensorless operation;estimation scheme;stator resistance;sensitivity analysis
Subjects:Velocity, acceleration and rotation control;Asynchronous machines;Control of electric power systems;Drives;Synchronous machines;Self-adjusting control systems
References
- 1)
13. Cai, J., Deng, Z.: ‘Initial rotor position estimation and sensorless control of SRM based on coordinate transformation’, IEEE Trans. Instr. Meas., 2015, 64, (4), pp. 1004–1018.
- 2)
27. Brosse, A., Henneberger, G.: ‘Sensorless control of a switched reluctance motor using a Kalman filter’. 7th European Conf. on Power Electronics and Applications, Trondheim, Norway/EPE Association. 4 September 1997, pp. 4561–4566.
- 3)
3. Ehsani, M., Fahimi, B.: ‘Elimination of position sensors in switched reluctance motor drives: state of the art and future trends’, IEEE Trans. Ind. Electron., 2002, 49, (1), pp. 40–47.
- 4)
6. Bass, J.T., Ehsani, M., Miller, T.J.: ‘Robust torque control of switched reluctance motors without a shaft position sensor’, IEEE Trans. Ind. Electron., 1986, 33, (3), pp. 212–216.
- 5)
16. Lumsdaine, A., Lang, J.H.: ‘State observers for Variable reluctance motors’, IEEE Trans. Ind. Electron., 1990, 37, (2), pp. 133–142.
- 6)
9. Harris, W.D., Lang, J.H.: ‘A simple motion estimator for variable-reluctance motors’, IEEE Trans. Ind. Electron., 1990, 26, (2), pp. 237–243.
- 7)
32. Nakao, N., Akatsu, K.: ‘Vector control for switched reluctance motor drives using an improved current controller’. 2014 IEEE Energy Conversion Congress and Exposition (ECCE), Pittsburgh, PA, USA., September 2014, pp. 1379–1386.
- 8)
26. Khalil, A., Husain, I., Hossain, S.A., et al: ‘A hybrid sensorless SRM drive with eight- and six-switch converter topologies’, IEEE Trans. Ind. Appl., 2005, 41, (6), pp. 1647–1655.
- 9)
37. Lu, L.Y., Avila, N.F., Chu, C.C., et al: ‘Model reference adaptive back-electromotive-force estimators for sensorless control of grid- connected DFIGs’, IEEE Trans. Ind. Appl., 2018, 54, (2), pp. 1701–1711.
- 10)
25. McCann, R.A., Islam, M.S., Husain, I.: ‘Application of a sliding-mode observer for position and speed estimation in switched reluctance motor drives’, IEEE Trans. Ind. Appl., 2001, 37, (1), pp. 51–58.
- 11)
2. Haghbin, S., Rabiei, A., Grunditz, E.: ‘Switched reluctance motor in electric or hybrid vehicle applications: A status review’. IEEE Conf. on industrial electronics and applications (ICIEA), Melbourne, VIC, Australia, June 2013, pp. 117–122.
- 12)
5. Frus, J.R., Kuo, B.C.: ‘Closed-loop control of step motors without feedback encoders’. proc. Fifth annual symp. on incremental motion control systems and devices, Urbana, Illinois, May 1976, pp. 1–11.
- 13)
18. Gallegos-Lopez, G., Kjaer, P.C., Miller, T.J.: ‘A new sensorless method for switched reluctance motor drives’, IEEE Trans. Ind. Appl., 1998, 34, (4), pp. 832–840.
- 14)
36. Teja, A.R., Verma, V., Chakraborty, C.: ‘A new formulation of reactive-power-based model reference adaptive system for sensorless induction motor drive’, IEEE Trans. Ind. Electron., 2015, 62, (11), pp. 859–869.
- 15)
28. Paramasivam, S., Vijayan, S., Vasudevan, M., et al: ‘Real-time verification of AI based rotor position estimation techniques for a 6/4 pole SRM drive’, IEEE Trans. Magn., 2007, 43, (7), pp. 3209–3222.
- 16)
33. Nagel, N.J., Lorenz, R.D.: ‘Rotating vector methods for smooth torque control of a switched reluctance motor drive’, IEEE Trans. Ind. Appl., 2000, 36, (2), pp. 540–548.
- 17)
7. Perl, T., Husain, I., Elbuluk, M.: ‘Design trends and trade-offs for sensorless operation of SRM drives’. IEEE IAS Annual Meeting, Orlando, FL, USA, USA, October 1995, pp. 278–285.
- 18)
22. Zeng, W., Liu, C., Zhou, Q., et al: ‘A new flux/current method for SRM rotor position estimation’. IEEE Conf. on Electrical Machines and Systems, Tokyo, Japan, November 2009, pp. 1–6.
- 19)
21. Gallegos-Lopez, G., Kjaer, P.C., Miller, T.J.E.: ‘High-grade position model’, IEEE Trans. Ind. Appl., 1999, 35, (4), pp. 859–869.
- 20)
14. Cai, J., Liu, Z., Zeng, Y.: ‘Aligned position estimation-based fault-tolerant sensorless control strategy for SRM drives’, IEEE Trans. Power Electron., 2018, 34, (8), pp. 7754–7762.
- 21)
4. Krishnan, R.: ‘Switched reluctance motor drives-modeling, simulation, analysis, design, and applications’ (University Press, India, 2008, 2001), pp. 374–407.
- 22)
39. Kumar, R., Das, S., Chattopadhyay, A.K.: ‘Comparative assessment of two different model reference adaptive system schemes for speed- sensorless control of induction motor drives’. IET Electr. Power Appl., 2016, 10, (2), pp. 141–154.
- 23)
1. Radun, A.V.: ‘High-power density switched reluctance motor drive for aerospace applications’, IEEE Trans. Ind. Appl., 1992, 28, (1), pp. 113–119.
- 24)
8. Khan, Y.A., Verma, V.: ‘A novel speed estimation technique for a vector controlled switched reluctance motor drive’, IET Electr. Power Appl., 2019, 13, (8), pp. 1193–1203.
- 25)
10. Acarnley, P.P., Hill, R.J., Hooper, C.W.: ‘Detection of rotor position in stepping and switched motors by monitoring of current waveform’, IEEE Trans. Ind. Electron., 1985, 32, (3), pp. 215–222.
- 26)
15. Peng, F., Ye, J., Emadi, A., et al: ‘Position sensorless control of switched reluctance motor drives based on numerical method’, IEEE Trans. Ind. Appl., 2017, 53, (3), pp. 2159–2168.
- 27)
19. Song, S., Zhang, M., Ge, L.: ‘A new fast method for obtaining flux-linkage characteristics of SRM’, IEEE Trans. Ind. Electron., 2015, 62, (7), pp. 4105–4117.
- 28)
29. Ertugrul, N., Cheok, A.D.: ‘Indirect angle estimation in SRM drive using fuzzy logic-based motor model’, IEEE Trans. Power Electron., 2000, 15, (6), pp. 1029–1044.
- 29)
24. Husain, I., Ehsani, M.: ‘Rotor position sensing in switched reluctance motor drives by measuring mutually induced voltages’, IEEE Trans. Ind. Appl., 1994, 30, (3), pp. 665–672.
- 30)
31. Nakao, N., Akatsu, K.: ‘Vector control specialized for switched reluctance motor drives’. Int. Conf. on Electrical Machines (ICEM 2014), Berlin, Germany, September 2014, pp. 943–949.
- 31)
34. Khan, Y.A., Verma, V.: ‘A novel method of estimating stator resistance for an F-MRAS based speed sensorless vector controlled switched reluctance motor drive’. 54th Int. Universities Power Engineering Conf. (UPEC), Bucharest, Romania, 2019, pp. 1–6.
- 32)
20. MacMinn, S.R., Rzesos, W.J., Szczesny, P.M., et al: ‘Application of sensor integration techniques to switched reluctance motor drives’, IEEE Trans. Ind. Appl., 1992, 28, (6), pp. 1339–1344.
- 33)
17. Tang, Y., He, Y., Wang, F., et al: ‘Back-EMF-based sensorless control system of hybrid SRM for high-speed operation’, IET Electr. Power Appl., 2018, 12, (6), pp. 867–873.
- 34)
35. Khan, Y.A., Verma, V.: ‘Investigation of Pn and F-MRAS based speed estimators for vector controlled switched reluctance motor drive’. IEEE Int. Conf. on Power Electronics, Drives and Energy Systems (PEDES), IIT Madras, Chennai, India, December 2018, pp. 1–6.
- 35)
23. Panda, S.K., Amaratunga, G.A.J.: ‘Waveform detection technique for indirect rotor position sensing of SRM drives. Part 1. Anal’, IEE Proc. B, 1993, 140, (1), pp. 80–88.
- 36)
30. Khan, Y.A., Verma, V.: ‘F-MRAS based speed sensorless vector controlled switched reluctance motor drive’. IEEE, 2nd Int. Conf. on Energy, Power and Environment, Shillong, India, June 2018, pp. 1–6.
- 37)
12. Ehsani, M., Husain, I., Mahajan, S., et al: ‘New modulation encoding techniques for rotor position sensing in switched reluctance motors’, IEEE Trans. Ind. Appl., 1994, 30, (1), pp. 85–91.
- 38)
38. Khlaief, A., Boussak, M., Chaari, A.: ‘A MRAS-based stator resistance and speed estimation for sensorless vector controlled IPMSM drive’, Electr. Power Syst. Res., 2013, 108, pp. 1–15.
- 39)
11. Mvungi, N.H., Lahoud, M.A., Stephenson, J.M.: ‘A new sensorless position detector for SR drives’. 5th Int. Conf. on Power Electronics and Variable Speed Drives, London, UK, July 1990, pp. 249–252.
- 1)
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-epa.2020.0277
Related content
content/journals/10.1049/iet-epa.2020.0277
pub_keyword,iet_inspecKeyword,pub_concept
6
6