Review of Parameter Identification and Sensorless Control Methods for Synchronous Reluctance Machines*

doi:10.23919/CJEE.2020.000007

Chinese Journal of Electrical Engineering ›› 2020, Vol. 6 ›› Issue (2): 7-18.doi: 10.23919/CJEE.2020.000007

• Regular Papers • Previous Articles Next Articles

扫码分享

Review of Parameter Identification and Sensorless Control Methods for Synchronous Reluctance Machines^*

Chengrui Li, Gaolin Wang^*, Guoqiang Zhang, Nannan Zhao, Dianguo Xu

School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150000, China

Received:2020-01-02 Revised:2020-02-15 Accepted:2020-03-12 Online:2020-06-25 Published:2020-07-13
Contact: * Email: WGL818@hit.edu.cn
About author:Chengrui Li received his B.S. in electrical engineering from Harbin Institute of Technology, Harbin, China, in 2015, where he is currently working towards his Ph.D. in power electronics and electrical drives in the School of Electrical Engineering and Auto- mation.His current research interests include parameter identification techniques, and control of electrical drives, with a focus on sensorless field-oriented control of synchronous reluctance machines and synchronous reluctance machine design.
Gaolin Wang received his B.S., M.S., and Ph.D. in electrical engineering from Harbin Institute of Technology, Harbin, China, in 2002, 2004, and 2008, respectively.In 2009, he joined the Department of Electrical Engineering, Harbin Institute of Technology as a Lecturer, where he has been a Professor of Electrical Engineering since 2014. From 2009 to 2012, he was a Postdoctoral Fellow at the Shanghai STEP Electric Corporation, where he was involved in traction machine control for direct-drive elevators. He has authored more than 60 technical papers published in journals and conference proceedings. He is also the holder of 10 Chinese patents. His current primary research interests include permanent magnet synchronous motor drives, high-performance direct-drives for traction systems, position sensorless control of AC motors, efficiency optimization control of interior PMSM, and digital control of power converters.Dr. Wang serves as an Associate Editor of IET Electric Power Applications, and Journal of Power Electronics. He received the Outstanding Research Award and the Delta Young Scholar Award from the Delta Environmental and Educational Foundation in 2012 and 2014, respectively. He is currently supported by the National Natural Science of China for Excellent Young Scholars, the Program for Basic Research Excellent Talents, and the Young Talent Program from Harbin Institute of Technology.
Guoqiang Zhang received his B.S. degree in electrical engineering from Harbin Engineering University, Harbin, China, in 2011, and M.S. and Ph.D. in electrical engineering from Harbin Institute of Technology, Harbin, China, in 2013 and 2017, respectively. Since then, he has been a Postdoctoral Fellow and a Lecturer in the Department of Electrical Engineering, Harbin Institute of Technology. His current research interests include parameter identification techniques, and control of electrical drives, with a focus on sensorless field-oriented control of interior permanent magnet synchronous machines.Dr. Zhang serves as an Associate Editor for the Journal of Power Electronics.
Nannan Zhao received his B.S. and M.S. in control science and engineering in 2013 and 2015, respectively, and his Ph.D. in electrical engineering in 2019, all from Harbin Institute of Technology. Currently, he is a Postdoctoral Fellow and a Lecturer in the School of Electrical Engineering and Automation, Harbin Institute of Technology. He is currently supported by the Postdoctoral Innovative Talent Support Program of China. His current research interests include advanced control of permanent magnet synchronous motor drives and sensorless position control of AC motors.
Dianguo Xu received his B.S. in control engineering from Harbin Engineering University, Harbin, China, in 1982, and M.S. and Ph.D. in electrical engineering from Harbin Institute of Technology (HIT), Harbin, China, in 1984 and 1989, respectively.In 1984, he joined the Department of Electrical Engineering, HIT, as an assistant professor. Since 1994, he has been a professor in the Department of Electrical Engineering, HIT. He was the Dean of the School of Electrical Engineering and Automation, HIT from 2000 to 2010, and was the Assistant President of HIT from 2010 to 2014. He is now the Vice President of HIT. His research interests include renewable energy generation technologies, power quality mitigation, sensorless vector controlled motor drives, high-performance servo systems. He has published over 600 technical papers.Dr. Xu is a Fellow of IEEE, an Associate Editor of the IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Electronics, and the IEEE Journal of Emerging and Selected Topics in Power Electronics. He serves as the Chairman of the IEEE Harbin Section.
Supported by:
* Supported by the National Natural Science Foundation of China (51807037) and the Power Electronics Science and Education Development Program of Delta Group (DREG2019003).

Abstract

Abstract: Synchronous reluctance machines (SynRMs) have drawn increasing attention in recent years owing to their advantages such as low cost, simple structure, ease of manufacture, and high robustness. The main obstacle to the promotion of SynRMs is severe parameter nonlinearity, which deteriorates drive performance. Sensorless control methods for SynRMs are critical technologies that can broaden the industrial applications of SynRMs. Various methods of parameter identification and sensorless control strategies are reviewed and discussed, including self-commissioning, which is analyzed in detail. Furthermore, sensorless control strategies that can improve the industrial application of SynRMs are described. Finally, future research trends concerning SynRMs are analyzed and discussed.

Key words: Synchronous reluctance machines, parameter identification, sensorless control

Chengrui Li, Gaolin Wang, Guoqiang Zhang, Nannan Zhao, Dianguo Xu. Review of Parameter Identification and Sensorless Control Methods for Synchronous Reluctance Machines^*[J]. Chinese Journal of Electrical Engineering, 2020, 6(2): 7-18.

References

[1] J K Kostko.Polyphase reaction synchronous motors.Journal of the American Institute of Electrical Engineers, 1923, 42(11): 1162-1168.
[2] P R Ghosh, A Das, G Bhuvaneswari.Performance comparison of different vector control approaches for a synchronous reluctance motor drive. International Confer- ence on Computer Applications In Electrical Engineering-Recent Advances, October 5-7, 2017, Roorkee, India. New York: IEEE, 2018: 320-325.
[3] C Li, D Xu, G Wang.High efficiency remanufacturing of induction motors with interior permanent magnet rotors and synchronous reluctance rotors. IEEE Transportation Electrification Conference and Expo, Asia-Pacific, August 7-10, 2017, Harbin, China. New York: IEEE, 2017: 1332-1337.
[4] C Oprea, A Dziechciarz, C Martis.Comparative analysis of different synchronous reluctance motor topologies. International Conference on Environment and Electrical Engineering, June 10-13, 2015, Rome, Italy. New York: IEEE, 2015: 1904-1909.
[5] S Talebi, P Niazi, H A Toliyat.Design of permanent magnet assisted synchronous reluctance motors made easy. Annual Meeting of the IEEE Industry Applications Society, September 23-27, 2007, New Orleans, LA, USA. New York: IEEE, 2007: 2242-2247.
[6] E S Obe.Direct computation of AC machine inductances based on winding function theory.Energy Conversion & Management, 2012, 50(3): 539-542.
[7] E S Obe.Calculation of inductances and torque of an axially laminated synchronous reluctance motor.IET Electr. Power Appl., 2010, 4(9): 783-792.
[8] T Lubin, T Hamiti, H Razik, et al.Comparison between finite-element analysis and winding function theory for inductances and torque calculation of a synchronous reluctance machine.IEEE Trans. Magn., 2007, 43(8): 3406-3410.
[9] Y Gao, R Qu, C Yu, et al.Review of off line synchronous inductance measurement method for permanent magnet synchronous machines. IEEE Transportation Electrification Conference and Expo, Asia-Pacific, August 31-September 3, 2014, Beijing, China. New York: IEEE, 2014.
[10] S Ichikawa, M Tomita, S Doki, et al.Sensorless control of synchronous reluctance motors based on extended emf models considering magnetic saturation with online parameter identification.IEEE Trans. Ind. Appl., 2006, 42(5): 1264-1274.
[11] M Hofer, M Nikowitz, M Schroedl.Application of a position sensorless control to a reluctance synchronous drive including flux weakening. International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, May 16-18, 2017, Nureberg, German. New York: IEEE, 2017: 631-635.
[12] H Marko, S S Erkki, A H A Ali, et al. Observers for sensorless synchronous motor drives: Framework for design and analysis.IEEE Trans. Ind. Appl., 2018, 54(6): 6090-6100.
[13] A Iwata, S Ichikawa, M Tomita, et al.Position and velocity sensorless control of SynRMs using online parameter identification. Annual Conference of the IEEE Industrial Electronics-Society, November 2-6, 2003, Roanoke, VA, USA. New York: IEEE, 2003: 2156-2161.
[14] S Ichikawa, M Tomitat, S Doki, et al.Sensorless control of synchronous reluctance motors based on an extended EMF model and initial position estimation. Annual Conference of the IEEE Industrial Electronics Society, November 2-6, 2003, Roanoke, VA. New York: IEEE, 2003: 2150-2155.
[15] S C Agarlita, I Boldea, F Blaabjerg.High frequency injection assisted “active flux” based sensorless vector control of reluctance synchronous motors, with experi- ments from zero speed.IEEE Trans. Ind. Appl., 2012, 48(6): 1931-1939.
[16] A Consoli, F Russo, G Scarcella, et al.Low- and zero-speed sensorless control of synchronous reluctance motors.IEEE Trans. Ind. Appl., 1999, 35(5): 1050-1057.
[17] H W D Kock, M J Kamper, O C Ferreira, et al. Position sensorless control of the reluctance synchronous machine considering high frequency inductances. Power Electronics and Drive Systems, November 27-30, 2007, Bangkok Thailand. New York: IEEE, 2007: 1017-1021.
[18] J I Ha, S J Kang, S K Sul.Position controlled synchronous reluctance motor without rotational transducer.IEEE Trans. Ind. Appl., 1999, 35(6): 1393-1398.
[19] E Capecchi, P Guglielmi, M Pastorelli, et al.Position sensorless control of the transverse laminated synchronous reluctance motor.IEEE Trans. Ind. Appl., 2001, 37(6): 1770-1776.
[20] T H Liu, H S Haslim, S K Tseng.Predictive controller design for a high frequency injection sensorless synchro- nous reluctance drive system.IET Electr. Power Appl., 2016, 11(5): 902-910.
[21] U K Madawala, T H Liu, P C Pan.Adaptive controller with an improved highfrequency injection technique for sensorless synchronous reluctance drive systems.IET Electr. Power Appl., 2016, 10(4): 240-250.
[22] V Mukherjee, J Pippuri, S E Saarakkala, et al.Finite element analysis for bearingless operation of a multi flux barrier synchronous reluctance motor. International Conference on Electrical Machines and Systems, October 25-28, 2015, Pattaya, Thailand. New York: IEEE, 2015: 688-691.
[23] E S Obe, A Binder.Direct phase variable model of a synchronous reluctance motor including all slot and winding harmonics.Energy Conversion & Management, 2011, 52(1): 284-291.
[24] S A Odhano, P Pescetto, H A A Awan, et al. Parameter identification and self-commissioning in AC motor drives: A technology status review.IEEE Trans. Power Electron., 2019, 34(4): 3603-3614.
[25] R Dutta, M F Rahman.A comparative analysis of two test methods of measuring d- and q-axes inductances of interior permanent magnet machine.IEEE Trans. Magn., 2006, 42(11): 3712-3718.
[26] M A Jabbar, J Dong, Z Liu.Determination of parameters for internal permanent magnet synchronous motors. IEEE International Conference on Electric Machines and Drives, May 15, 2005, San Antonio, TX, USA. New York: IEEE, 2005: 149-156.
[27] M Hinkkanen, P Pescetto, E Molsa, et al.Sensorless self-commissioning of synchronous reluctance motors at standstill without rotor locking.IEEE Trans. Ind. Appl., 2017, 53(3): 2120-2129.
[28] L Kan, J Feng, S Guo, et al.Identification of flux linkage map of permanent magnet synchronous machines under uncertain circuit resistance and inverter nonlinearity.IEEE Transactions on Industrial Informatics, 2018, 14(2): 556-568.
[29] G Pellegrino, B Boazzo, T M Jahns.Magnetic model self-identification for PM synchronous machine drives.IEEE Trans. Ind. Appl., 2015, 51(3): 2246-2254.
[30] E Armando, R I Bojoi, P Guglielmi, et al.Experimental identification of the magnetic model of synchronous machines.IEEE Trans. Ind. Appl., 2013, 49(5): 2116-2125.
[31] B Stumberger, G Stumberger, D Dolinar, et al.Evaluation of saturation and cross magnetization effects in interior permanent magnet synchronous motor.IEEE Trans. Ind. Appl., 2003, 39(5): 1264-1271.
[32] G Stumberger, T Marcic, B Stumberger, et al.Experi- mental method for determining magnetically nonlinear characteristics of electric machines with magnetically nonlinear and anisotropic iron core, damping windings, and permanent magnets.IEEE Trans. Magn., 2008, 44(11): 4341-4344.
[33] G Zanuso, P Sandulescu, L Peretti.Self-commissioning of flux linkage curves of synchronous reluctance machines in quasi standstill condition.Electric Power Applications Iet, 2015, 9(9): 642-651.
[34] N Bedetti, S Calligaro, R Petrella.Stand still self-identifi- cation of flux characteristics for synchronous reluctance machines using novel saturation approximating function and multiple linear regression.IEEE Trans. Ind. Appl., 2016, 52(4): 3083-3092.
[35] Z Qu, T Tuovinen, M Hinkkanen.Inclusion of magnetic saturation in dynamic models of synchronous reluctance motors. International Conference on Electrical Machines, September 2-5, 2012, Marseille, France. New York: IEEE, 2012: 994-1000.
[36] G Stumberger, T Marcic, B Stumberger, et al.Experimental method for determining magnetically nonlinear characteristics of electric machines with magnetically nonlinear and anisotropic iron core, damping windings, and permanent magnets.IEEE Trans. Magn., 2008, 44(11): 4341-4344.
[37] P Pescetto, G Pellegrino.Sensorless standstill commis- sioning of synchronous reluctance machines with automatic tuning. IEEE International Electric Machines and Drives Conference, May 21-24, 2017, Miami, FL, USA. New York: IEEE, 2017:1-8.
[38] P Pescetto, G Pellegrino.Sensorless commissioning of synchronous reluctance machines augmented with high frequency voltage injection. IEEE Energy Conversion Congress and Exposition, October 1-5, 2017, Cincinnati, OH, USA. New York: IEEE, 2017: 1909-1916.
[39] S Bolognani, L Ortombina, F Tinazzi, et al.Model sensitivity of fundamental-frequency based position estimators for sensorless PM and reluctance synchronous motor drives.IEEE Trans. Ind. Electron., 2018, 65(1): 77-85.
[40] M Amin, G A A Aziz, J Durkin, et al. A hardware- in-the-loop realization of speed sensorless control of pma-synrm with steady-state and transient performances enhancement.IEEE Trans. Ind. Appl., 2019, 55(5): 5331-5342.
[41] S Nohara, M Tomita, M Hasegawa, et al.A new design method of full-order extended electromotive force observer for position sensorless control of IPMSM. 39th Annual Conference of the IEEE Industrial Electronics Society, November 10-14, 2013, Vienna, Austria. New York: IEEE, 2013: 2512-2517.
[42] T Tuovinen, M Hinkkanen, J Luomi.Analysis and design of a position observer with resistance adaptation for synchronous reluctance motor drives.IEEE Trans. Ind. Appl., 2013, 49(1): 66-73.
[43] A K Chakali, H A Toliyat, H Abu-Rub.Observer-based sensorless speed control of PM-assisted SynRM for direct drive applications. IEEE International Symposium on Industrial Electronics, July 4-7, 2010, Bari, Italy. New York: IEEE, 2010: 3095-3100.
[44] F P Scalcon, C J Volpato, T Lazzari, et al.Sensorless control of a SynRM drive based on a Luenberger observer with an extended EMF model. 45th Annual Conference of the IEEE Industrial Electronics Society, October 14-17, 2019, Lisbon, Portugal. New York: IEEE, 2019: 1333-1338.
[45] T Senjyu, K Kinjo, N Urasaki, et al.Sensorless control of synchronous reluctance motors considering the stator iron loss with extended Kalman filter. Power Electronics Specialist Conference, June 15-19, 2003, Acapulco, Mexico. New York: IEEE, 2003: 403-408.
[46] P Sun, D Zhang, Z Bai, et al.Comparison study of MRAS and EEMF-based sensorless control for synchronous reluctance motor. International Conference on Electrical Machines and Systems, August 11-14, 2019, Harbin, China. New York: IEEE, 2019: 331-335.
[47] X Dianguo, J Xinhai, C Wei.Sensorless control of synchronous reluctance motors. IEEE Transportation Electrification Conference and Expo, Asia-Pacific, August 7-10, 2017, Harbin, China. New York: IEEE, 2017: 431-434.
[48] T Hanamoto, A Ghaderi, M Harada, et al.Sensorless speed control of synchronous reluctance motor using a novel flux estimator based on recursive Fourier transfor- mation. IEEE International Conference on Industrial Technology, Febrary 10-13, 2009, Churchill, Australia. New York: IEEE, 2009: 261-266.
[49] I Isakov, V Popović, I Todorović, et al.Application of phase-locked loop in sensorless SynRM drives. Intern- ational Symposium on Industrial Electronics (INDEL), November 1-3, 2018, Banja Luka, Bosinia&Herceg. New York: IEEE, 2018: 361-364.
[50] L D Tornello, G Scelba, G Scarcella, et al.Combined rotor position estimation and temperature monitoring in sensorless synchronous reluctance motor drives.IEEE Trans. Ind. Appl., 2019, 55(4): 3851-3862.
[51] D Wang, L Kaiyuan, R P Omand.Improved closed-loop flux observer based sensorless control against system oscillation for synchronous reluctance machine drives.IEEE Trans. Power Electron., 2019, 34(5): 4593-4602.
[52] M Schroedl, P Weinmeier.Sensorless control of reluctance machines at arbitrary operating conditions including standstill.IEEE Trans. Power Electron., 1994, 9(2): 225-231.
[53] R Morales-Caporal, M Pacas.Encoderless predictive direct torque control for synchronous reluctance machines at very low and zero speed.IEEE Trans. Ind. Electron., 2008, 55(12): 4408-4416.
[54] M Y Wei, T H Liu.A high performance sensorless position control system of a synchronous reluctance motor using dual current-slope estimating technique.IEEE Trans. Ind. Electron., 2012, 59(9): 3411-3426.
[55] T Matsuo, T A Lipo.Rotor position detection scheme for synchronous reluctance motor based on current measure- ments.IEEE Trans. Ind. Appl., 1995, 31(4): 860-868.
[56] M Wei, T Liu.A high performance sensorless position control system of a synchronous reluctance motor using dual current-slope estimating technique.IEEE Trans. Ind. Electron., 2012, 59(9): 3411-3426.
[57] M Tamaoki, M Tomita, Z Chen, et al.Position and velocity control of sensorless synchronous reluctance motor using disturbance observer based on high frequency current. Power Conversion Conference, April 2-5, 2002, Osaka, Japan. New York: IEEE, 2002: 695-698.
[58] S Kondo, Y Sato, T Goto, et al.Position and velocity sensorless control for synchronous reluctance motor at low speeds and under loaded conditions using high frequency extended EMF observer and heterodyne detection. International Conference on Electrical Machines, September 2-5, 2014, Berlin, Germany. New York: IEEE, 2014: 857-863.
[59] K Kato, M Tomita, S Doki, et al.Position estimation for sensorless control of synchronous reluctance motor at low speed using disturbance observer. International Conference on Electrical Machines and Systems, October 10-13, 2010, Incheon, South Korea. New York: IEEE, 2010: 716-720.
[60] K Kawai, M Tomita, S Ichikawa, et al.Position estimation of synchronous reluctance motor at standstill using disturbance observer. 30th Annual Conference of IEEE Industrial Electronics Society, November 2-6, 2004, Busan, South Korea. New York: IEEE, 2004: 2874-2878.
[61] T Mabuchi, A Makimura, M Tomita, et al.Position sensorless control of synchronous reluctance motors at very low speeds region using high frequency current control system. International Conference on Electrical Machines and Systems, August 11-14, 2017, Sydney, Australia. New York: IEEE, 2017: 641-646.
[62] G Wang, M I Valla, J A Solsona.Position sensorless permanent magnet synchronous machine drives: A review.IEEE Trans. Ind. Electron., 2019, DOI: 10.1109/TIE. 2019.2955409.
[63] S Shih-Wei, K Hu, C Liaw, et al.Development of a position sensorless synchronous reluctance motor drive. IEEE 3rd International Future Energy Electronics Conference and ECCE Asia, June 3-7, 2017, Kaohsiung, Taiwan, China. New York: IEEE, 2017: 1199-1204.
[64] S Kuehl, P Landsmann, R M Kennel.Compensating angle estimation errors caused by magnetic saturation in anisotropy-based sensorless control schemes. Sensorless Control for Electrical Drives, September 21-22, 2013, Milwaukee, WI, USA. New York: IEEE, 2013: 1-6.
[65] T Hatanaka, T Mabuchi, M Tomita, et al.Robust position sensorless control against inductance variations of synchronous reluctance motors in low speed region using high frequency current control. International Conference on Electrical Machines, September 3-6, 2018, Alexandroupoli, Greece. New York: IEEE, 2018: 1677-1683.
[66] M Bugsch, A Held, B Piepenbreier.Sensorless control of SynRMs using an adaptive 2DoF current control including a comparison of two alternating HF signal injection-based methods. 42nd Annual Conference of the IEEE Industrial Electronics Society, October 23-26, 2016, Florence, Italy. New York: IEEE, 2016: 2910-2916.
[67] T Tuovinen, M Hinkkanen.Signal-injection-assisted full-order observer with parameter adaptation for synchronous reluctance motor drives.IEEE Trans. Ind. Appl., 2014, 50(5): 3392-3402.
[68] R Morales-Caporal, M Pacas.Suppression of saturation effects in a sensorless predictive controlled synchronous reluctance machine based on voltage space phasor injections.IEEE Trans. Ind. Electron., 2011, 58(7): 2809-2817.
[69] C Li, G Wang, G Zhang, et al.Saliency-based sensorless control for SynRM drives with suppression of position estimation error.IEEE Trans. Ind. Electron., 2019, 66(8): 5839-5849.
[70] T Tuovinen, M Hinkkanen.Adaptive full-order observer with high frequency signal injection for synchronous reluctance motor drives.IEEE J. Emerg. Sel. Topics Power Electron., 2014, 2(2): 181-189.
[71] P Guglielmi, M Pastorelli, A Vagati.Impact of cross saturation in sensorless control of transverse laminated synchronous reluctance motors.IEEE Trans. Ind. Electron., 2006, 53(2): 429-439.
[72] C Li, G Wang, G Zhang, et al.High frequency torque ripple suppression for high frequency signal injection based sensorless control of SynRMs. IEEE Applied Power Electronics Conference and Exposition (APEC), March 17-21, 2019, Anaheim, CA, USA. New York: IEEE, 2019: 2544-2548.
[73] C Li, G Wang, G Zhang, et al.Eliminating position estimation error caused by cross-coupling effect in saliency-based sensorless control of SynRMs. 21st International Conference on Electrical Machines and Systems, October 5-8, 2018, Jeju, South Korea. New York: IEEE, 2018: 1600-1605.
[74] A Yousefi-Talouki, P Pescetto, G Pellegrino.Sensorless direct flux vector control of synchronous reluctance motors including standstill, MTPA, and flux weakening.IEEE Trans. Ind. Appl., 2017, 53(4): 3598-3608.

Review of Parameter Identification and Sensorless Control Methods for Synchronous Reluctance Machines^*

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	CHEN Ding, HOU Liang, ZHU Qingyuan, BU Xiangjian. Tire-Ground Interaction Force Model and Its Parameter Identification Considering Tire Geometry and Pressure [J]. Journal of Mechanical Engineering, 2020, 56(2): 174-183.
[2]	CHEN Jiangxue, ZHOU Jinsong, GONG Dao. Research on Identification Method of Railway Vehicle Physical Parameters [J]. Journal of Mechanical Engineering, 2020, 56(10): 200-207.
[3]	ZHU Rui, DUAN Bin, WEN Fazheng, ZHANG Junming, ZHANG Chenghui. Lithium-ion Battery Modeling and Parameter Identification Based on Decentralized Least Squares Method [J]. Journal of Mechanical Engineering, 2019, 55(20): 85-93.
[4]	CHEN Kang, ZHANG Ya, WANG Weimin, ZHANG Xulong, HU Dongfang. Identification Method of Blade Vibration with High EO Based on Virtual Sensor Interpolation [J]. Journal of Mechanical Engineering, 2019, 55(19): 1-8.
[5]	WU Shuming, HU Haifeng, ZHAO Zhibin, YANG Zhibo, YANG Laihao, TIAN Shaohua, CHEN Xuefeng. Enhancing Sparse Decomposition Based Blade Vibration Parameter Identification [J]. Journal of Mechanical Engineering, 2019, 55(19): 19-27.
[6]	SUN Qingchao, HUANG Qingtao, SUN Zhiyong, QI Yanhua, SUN Wei. Interface Parameter Identification of Bolted Connections Based on Gradient Virtual Material [J]. Journal of Mechanical Engineering, 2018, 54(11): 102-109.
[7]	LI Yongquan, WANG Lijie, LIU Tianxu, ZHANG Yang, ZHANG Lijie. Dynamic Parameter Identification, Control and Experiment of an Electromechanical Coupling Multi-energy Domain System For a Parallel Robot [J]. Journal of Mechanical Engineering, 2018, 54(11): 141-150.
[8]	Guangqiang Lü,Yaocheng Yan. Inductance Parameters Identification of Permanent Magnet Synchronous Machine at Standstill [J]. Journal of Electrical Engineering, 2017, 12(5): 41-49.
[9]	Saqib Jamshed Rind, Yaxing Ren, Yihua Hu, Jibing Wang, Lin Jiang. Configurations and Control of Traction Motors for Electric Vehicles: A Review [J]. Chinese Journal of Electrical Engineering, 2017, 3(3): 1-17.
[10]	LU Jianhui, ZHOU Kongkang, HOU Yongtao, YU Kai, JI Jiaqi. Ride Optimization of Van Truck Based on Genetic Algorithm [J]. Journal of Mechanical Engineering, 2017, 53(20): 121-130.
[11]	Chunhua Liu, Yixiao Luo. Overview of Advanced Control Strategies for Electric Machines [J]. Chinese Journal of Electrical Engineering, 2017, 3(2): 53-61.
[12]	SHEN Nanyan, WANG Weidong, LI Jing, CAO Yanling, WANG Yu. Modelling and Analysis of Grinding Energy Consumption in Non-circular Grinding Process [J]. Journal of Mechanical Engineering, 2017, 53(15): 208-216.
[13]	ZHENG Ling, LIU Qiaobin, YOU Zuolong, PANG Jian, XU Xiaomin, CHEN Daijun. Development of Modified Lumped Parameter Model involving Amplitude-dependence Characteristics on Semi-active Engine Mount and Experimental Verification [J]. Journal of Mechanical Engineering, 2017, 53(14): 98-105.
[14]	Xiaobing Xu,Xiaojia Qin,Jianping Wang. Research on Offline Parameters Estimation of Induction Motors [J]. Journal of Electrical Engineering, 2016, 11(7): 18-22.
[15]	YANG Wu, LIU Li, ZHOU Sida, MA Zhisai. Modal Parameter Identification of Time-varying Structures via Moving Least Square Method [J]. Journal of Mechanical Engineering, 2016, 52(3): 79-85.