General

Prof. Dr.-Ing. Fengxiang Wang

Fujian Institute of Reasearch on the Structure of Matter (FJIRSM)

E-Mail:  fengxiang.wang@fjirsm.ac.cn

Address: No. 155, Yangqiao West Rd., Gulou District,Fuzhou, Fujian, China






Research Areas

​Motor Control and Power Electronics

Experience

Education

9.2009 — 3.2014    Ph.D. on Power Electronics and Motor Control

                                Faculty for Electrical Engineering, Technical University of Munich, Germany

9.2005 — 7.2008    M.Sc. on Control Engineering and Embedded System

                                Department of Information Engineering, Nanchang Aviation University


Employment

​2022                          Visiting Professor

                                  Technical University of Munich, Germany

04.2016 — Present   Adjunct Professor

                                  Fuzhou University

09.2014 — Present   Professor,  Academic Committee Member, PI

                                  FJIRSM, Chinese Academy of Sciences

4.2014 — 3.2015      Postdoctoral Researcher

                                  Technical University of Munich, Germany

9.2011 – 3.2014        Research Assistant

                                  Technical University of Munich, Germany

Publications

Papers

  1. Wang, F., Davari, S.A., Chen, Z., Zhang, Z., Khaburi, D.A., Rodriguez, J. and Kennel, R., 2016. Finite Control Set Model Predictive Torque Control of Induction Machine with a Robust Adaptive Observer. IEEE Transactions on Industrial Electronics, DOI: 10.1109/TIE.2016.2529558.
  2. Wang, F., Zhang, Z., Davari, S.A., Fotouhi, R., Khaburi, D.A., Rodriguez, J. and Kennel, R., 2014. An encoderless predictive torque control for an induction machine with a revised prediction model and EFOSMO. IEEE Transactions on Industrial Electronics, 61(12), pp.6635-6644.
  3. Wang, F., Li, S.,      Mei, X., Xie, W., Rodríguez, J. and Kennel, R.M., 2015. Model-Based      Predictive Direct Control Strategies for Electrical Drives: An      Experimental Evaluation of PTC and PCC Methods. IEEE Transactions on      Industrial Informatics, 11(3), pp.671-681.
  4. Wang, F., Chen, Z.,      Stolze, P., Stumper, J.F., Rodríguez, J. and Kennel, R., 2014. Encoderless      finite-state predictive torque control for induction machine with a      compensated MRAS. IEEE Transactions on Industrial Informatics,      10(2), pp.1097-1106.
  5. Wang, F., Zhang, Z.,      Wang J. and Rodríguez, J., 2016. Sensorless Model Based Predictive Current      Control for Induction Machine, IET      Electric Power Applications, DOI: 10.1049/iet-epa.2016.0220.
  6. Zhang, J.Z., Sun, T., Wang, F.      *, Rodriguez, J. and Kennel, R., A Computationally-Efficient      Quasi-Centralized DMPC for Back-to-Back Converter PMSG Wind Turbine      Systems Without DC-link Tracking Errors. IEEE Transactions on      Industrial Electronics, 63(10), pp.6160-6171.
  7. Chen, Z., Wang, F., Luo, G.,      Zhang, Z. and Kennel, R., 2016. Secondary Saliency Tracking-Based      Sensorless Control for Concentrated Winding SPMSM. IEEE Transactions      on Industrial Informatics, 12(1), pp.201-210.
  8. Zhang, Z., Wang, F.*,      Sun, T., Rodriguez, J. and Kennel, R., 2016. FPGA-based experimental      investigation of a quasi-centralized model predictive control for      back-to-back converters. IEEE Transactions on Power Electronics,      31(1), pp.662-674.
  9. Xie, W., Wang, X., Wang, F.,      Xu, W., Kennel, R. and Gerling, D., 2016. Dynamic Loss Minimization of      Finite Control Set-Model Predictive Torque Control for Electric Drive      System. IEEE Transactions on Power Electronics, 31(1),      pp.849-860.
  10. Xie, W., Wang, X., Wang, F.,      Xu, W., Kennel, R.M., Gerling, D. and Lorenz, R.D., 2015.      Finite-control-set model predictive torque control with a deadbeat      solution for PMSM drives. IEEE Transactions on Industrial      Electronics, 62(9), pp.5402-5410.
  11. Wang, F., Zhang,      Z., Davari, A., Rodríguez, J. and Kennel, R., 2014. An experimental      assessment of finite-state Predictive Torque Control for electrical drives      by considering different online-optimization methods. Control      Engineering Practice, 31, pp.1-8.
  12. Wang, F., Zhang,      Z., Kennel, R. and Rodríguez, J., 2015. Model predictive      torque control with an extended prediction horizon for electrical drive      systems. International Journal of Control, 88(7),      pp.1379-1388.
  13. Chen, Z., Gao, J., Wang, F.*,      Ma, Z., Zhang, Z. and Kennel, R., 2014. Sensorless      control for SPMSM with concentrated windings using multisignal injection      method. IEEE Transactions on Industrial Electronics,      61(12), pp.6624-6634.
  14. Davari, S.A., Khaburi,      D.A., Wang, F. and Kennel, R., 2013. Robust      sensorless predictive control of induction motors with sliding mode      voltage model observer. Turkish Journal of Electrical      Engineering& Computer Sciences, 21(6), pp.1539-1552.
  15. Davari S A, Khaburi D A, Wang F. and Kennel, R., 2012.      Robust sliding mode voltage model observer for sensorless PTC of induction      motors. Power Electronics and Drive Systems Technology. IEEE, pp:32-37.
  16. Davari, S.A., Khaburi, D.A., Wang,      F. and Kennel, R.M., 2012. Using full order and reduced order      observers for robust sensorless predictive torque control of induction      motors. IEEE Transactions on Power Electronics, 27(7),      pp.3424-3433.


Patents

  1. Invention Patent: Wang, F., Mei, X. and Ke, D. A Sensorless Induction Motor DTC System. 201510404821.6. (Patent pending)
  2. Invention Patent: Wang, F., Yu, X., Ke, D., Huang, D. and Tao, P. An Experimental Platform for Aircraft Power System. 201510812283.4. (Patent pending)

  3. Invention Patent: Wang, F., Ke, D., Huang, D., Tao, P. and Yu, X. A Novel Anti-Windup PID Control Method. 201510825095.5. (Patent pending)

  4. Invention Patent: Wang, F., Ke, D., Zhang, Z., Yu, X., Zhang, S. and Mei, X. A Test Platform for Motor Drive System in EV. 201610987945.6. (Patent pending)

  5. Utility Model Patent: Wang, F., Yu, X., Mei, X. and Zhang, S. (2015). A Novel Intelligent Inverter Device. ZL201520573139.5.

  6. Utility Model Patent: Wang, F., Yu, X., Mei, X. and Zhang, S. (2016). A Novel Intelligent Control System of Automotive Power Generation. ZL201520788763.7.

  7. Utility Model Patent: Wang, F. and Zhang, S. (2016). An AC Direct Converter Based on SCM. ZL201520498652.2.

  8. Utility Model Patent: Wang, F., Yu, X., Huang, Y., He, L. and Zhang, S. (2016). A Novel Experimental Platform for Aircraft Power System. 201520934655.6.

  9. Utility Model Patent: Zhang, Z., Ke, D., Yu, X., Mei, X. and Wang, F. A Test Device for Motor Drive System in EV. 201621211361.1. (Patent pending)

  10. Utility Model Patent: Zhang, Z., Yu, X., Ke, D., Mei, X. and Wang, F. A Test Equipment for Motor Drive System in EV. 201621210801.1. (Patent pending)


Books

  1. Fengxiang Wang, Model Predictive Torque Control for Electrical Drive Systems with and without an Encoder. Shaker Verlag, 2016, 128 pages.

Projects

  1. 2016-2018, Chinese National Natural Science Foundation for Young Scholars,Principal Investigator
  2. 2017-2018, CAS  Equipment Development Project,Principal Investigator
  3. 2016-2018, Fujian Provincial Softwsare Industry  Special ProjectPrincipal Investigator
  4. 2015-2018, Fujian Provincial Science & Technology Major Project,Principal Investigator of Subproject
  5. 2014-2017, Fujian Provincial Special Progject of Technological Reform for Enterprises,Project Specialist
  6. 2015-2017, Quanzhou Municipal Science & Technology Major Project,Principal Investigator

Honors & Distinctions


IET Fellow

IEEE Senior Member

Associate Editor, IEEE Transactions on Industrial Electronics

Associate Editor, IEEE Transactions on Energy Conversion