Frequency and time domain characteristics of digital control of electric vehicle in-wheel drives - Publication - Bridge of Knowledge

Your account

login

Search

Frequency and time domain characteristics of digital control of electric vehicle in-wheel drives

Abstract

In-wheel electric drives are promising as actuators in active safety systems of electric and hybrid vehicles. This new function requires dedicated control algorithms, making it essential to deliver models that reflect better the wheel-torque control dynamics of electric drives. The timing of digital control events, whose importance is stressed in current research, still lacks an analytical description allowing for modeling its influence on control system dynamics. In this paper, authors investigate and compare approaches to the analog and discrete analytical modeling of torque control loop in digitally controlled electric drive. Five different analytical models of stator current torque component control are compared to judge their accuracy in representing drive control dynamics related to the timing of digital control events. The Bode characteristics and step-response characteristics of the analytical models are then compared with those of a reference model for three commonly used cases of motor discrete control schemes. Finally, the applicability of the presented models is discussed.

Citations

  • 2

    CrossRef

  • 0

    Web of Science

  • 3

    Scopus

Authors (2)

Cite as

Full text

download paper
downloaded 23 times
Publication version
Accepted or Published Version
License
Creative Commons: CC-BY-NC-ND open in new tab

Keywords

Details

Category:
Articles
Type:
artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
Published in:
Archives of Electrical Engineering no. 66, pages 829 - 842,
ISSN: 1427-4221
Language:
English
Publication year:
2017
Bibliographic description:
Jarzębowicz L., Opaliński A.: Frequency and time domain characteristics of digital control of electric vehicle in-wheel drives// Archives of Electrical Engineering. -Vol. 66., nr. 4 (2017), s.829-842
DOI:
Digital Object Identifier (open in new tab) 10.1515/aee-2017-0063
Bibliography: test
  1. Bera T.K., Bhattacharya K., Samantaray A.K., Evaluation of antilock braking system with an inte- grated model of full vehicle system dynamics, Simulation Modelling Practice and Theory, no. 19, pp. 2131-2150 (2011). open in new tab
  2. Cabrera J.A., Castillo J.J., Carabias E., Ortiz A., Evolutionary Optimization of a Motorcycle Trac- tion Control System Based on Fuzzy Logic, IEEE Transactions on Fuzzy Systems, vol. 23, no. 5, pp. 1594-1607 (2015). open in new tab
  3. Ha H., Kim J., Lee J., Cornering stability enhancement algorithm for in-wheel electric vehicle, 2014 IEEE International Conference on Industrial Technology (ICIT), pp. 806-809 (2014). open in new tab
  4. Ivanov V., Savitski D., Shyrokau B., A Survey of Traction Control and Anti-lock Braking Systems of Full Electric Vehicles with Individually-Controlled Electric Motors, IEEE Transactions on Vehi- cular Technology, vol. 64, no. 9, pp. 3878-3896 (2015). open in new tab
  5. Guo H., Yu R., Qiang W., Chen H., Optimal slip based traction control for electric vehicles using feedback linearization, International Conference on Mechatronics and Control, pp. 11591164 (2014). open in new tab
  6. Zhang Z., Zhang J., Sun D., Lv C., Research on control strategy of electric-hydraulic hybrid anti- lock braking system of an electric passenger car, 2015 IEEE Intelligent Vehicles Symposium (IV), pp. 419424 (2015). open in new tab
  7. Kondratiev I., Nikiforov A., Veselov G., Kolesnikov A., Synergetic control for induction motor based wheel-drive system, 2012 IEEE Int. Electric Vehicle Conference (IEVC), pp. 17 (2012). open in new tab
  8. M'sirdi N.K., Rabhi A., Fridman L., Davila J., Delanne Y., Second Order Sliding-Mode Observer for Estimation of Vehicle Dynamic Parameters, International Journal of Vehicle Design, vol 48, no. 3/4, pp. 190207 (2008). open in new tab
  9. Petersen I., Wheel Slip Control in ABS Brakes using Gain Scheduled Optimal Control with Con- straints, PhD Thesis, Norwegian University of Science and Technology, Trondheim (2003). open in new tab
  10. Xiong L., Yu Z.,, Vehicle Dynamic Control of 4 In-Wheel-Motor Drived Electric Vehicle, Electric Vehicles -Modelling and Simulations, ed. Seref Soylu, InTech (2011). open in new tab
  11. Savitski D., Ivanov V., Augsburg K., Shyroka B., Wragge-Morley R., Pütz T., Barber P., The new paradigm of an anti-lock braking system for a full electric vehicle: experimental investigation and benchmarking, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Auto- mobile Engineering, vol. 230, no. 10, pp. 1364-1377 (2015). open in new tab
  12. Opalinski A., Jarzebowicz L., Analytical modeling of electric drives for vehicle traction control systems, 11th Interntional Conference on Ecological Vehicles and Renewable Energies (EVER), Monte-Carlo (2015). open in new tab
  13. Banks J., Chwif L., Wornings about simulation, Journal of Simulation, vol. 279, no. 5 (2011). open in new tab
  14. Böcker J., Buchholz O., Can oversampling improve the dynamics of PWM controls?, IEEE International Conference on Industrial Technology (ICIT), Cape Town, pp. 1818-1824 (2013). open in new tab
  15. Jarzebowicz L., Opalinski A., Cisek M., Improving Control Dynamics of PMSM Drive by Esti- mating Zero-Delay Current Value, Elektronika ir Elektrotechnika, vol. 21, no. 2, pp. 2023 (2015). open in new tab
  16. Anuchin A., Kozachenko V., Current loop dead-beat control with the digital PI-controller, 16th European Conference on Power Electronics and Applications (EPE'14-ECCE), pp. 18 (2014). open in new tab
  17. Hinkkanen M., Awan H.A.A., Qu Z., Tuovinen T., Briz F., Current Control for Synchronous Motor Drives: Direct Discrete-Time Pole-Placement Design, IEEE Transactions on Industry Applications, vol. 52, no. 2, pp. 1530-1541 (2016). open in new tab
  18. Vajta M., Some Remarks on Pade-Approximation, 3rd TEMPUS-INTCOM Symposium (2000).
  19. Silva G.J., Datta A., Bhattacharyya S.P., Controller design via Pade approximation can lead to instability, 40th IEEE Conference on Decision and Control, vol. 5, pp. 4733-4737 (2001). open in new tab
  20. Time R.J., Delay Systems: An Overview of Some Recent Advances and Open Problems, Automa- tica, vol. 39, pp. 1667-1694 (2003).
  21. Gu D-W., Petkov H.P., Konstantinov M.M., Robust Control Design with MATLAB, 2-nd Ed., Springer (2013). open in new tab
  22. Jury E.I., Theory and Application of the Z-Transform Method, R. E. Krieger Publishing Company (1973).
  23. Czerwinski R., Rudnicki T., Examination of electromagnetic noises and practical operations of a PMSM motor driven by a DSP and controlled by means of field oriented control, Elektronika ir Elektrotechnika, vol. 20, no. 5, pp. 46-50 (2014). open in new tab
  24. Jarzebowicz L., Karwowski K., Kulesza W.J., Sensorless algorithm for sustaining controllability of IPMSM drive in electric vehicle after resolver fault, Control Engineering Practice, vol. 58, pp. 117126 (2017). open in new tab
  25. Jarzebowicz L., Errors of a Linear Current Approximation in High-Speed PMSM Drives, IEEE Transactions on Power Electronics, vol. 32, iss. 11, Nov. 2017, pp. 8254-8257 (2017). open in new tab
  26. Nam K.H., AC Motor Control and Electric Vehicle Applications, CRC Press, p. 9 (2010). open in new tab
Verified by:
Gdańsk University of Technology

seen 111 times

Recommended for you

Analytical modeling of electric drives for vehicle traction control systems

2016

Modeling the impact of discretizing rotor angular position on computation of field-oriented current components in high speed electric drives

2017

Speed sensorless induction motor drive with predictive current controller

2013

Errors of a Linear Current Approximation in High-Speed PMSM Drives

2017
Meta Tags