Skip to main content
Log in

Disturbance Observer Based Robust Sliding Mode Control of Permanent Magnet Synchronous Motor

  • Original Article
  • Published:
Journal of Electrical Engineering & Technology Aims and scope Submit manuscript

Abstract

This paper addresses speed control of permanent magnet synchronous motor under load torque perturbations. The mathematical model is derived using park’s transformation. The load torque disturbance is considered unknown bounded, and states variables are available in feedback. In order to achieve robust speed performance, sliding mode control (SMC) is introduced. However, it is noted that conventional SMC does not provide satisfactory performance under load torque disturbances. To end this, a novel control strategy called disturbance observer SMC (DOSMC) is formulated. It includes an observer that offers a tool to vanish the effect of load torque. The DOSMC technique has two distinguished characteristics: first, the design gains are needed to be greater than the maximum limit of disturbance estimation error instead of disturbances, second; the proposed observer estimates load disturbances and provide a compensator to update sliding surface and control input. The stability analysis of overall control system is verified using Lyapunov theorem. Simulations in MATLAB/Simulink proves efficacy of the proposed scheme.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  1. Leonhard W (2001) Control of electrical drives. Springer, New York

    Book  Google Scholar 

  2. Kim IN, Son YI (2017) A modular disturbance observer-based cascade controller for robust speed regulation of PMSM. J Electr Eng Technol 12(4):1663–1674

    Google Scholar 

  3. Ang KH, Chong G, Li Y (2005) PID control system analysis, design, and technology. IEEE Trans Control Syst Technol 13(4):559–576

    Article  Google Scholar 

  4. Saleem Omer, Omer Urwa (2017) EKF-based self-regulation of an adaptive nonlinear PI speed controller for a DC motor. Turk J Electr Eng Comput Sci 25(5):4131–4141

    Article  Google Scholar 

  5. Liu Heng, Li Shenggang, Cao Jinde, Li Guanjun, Alsaedi Ahmed, Alsaadi Fuad E (2017) Adaptive fuzzy prescribed performance controller design for a class of uncertain fractional-order nonlinear systems with external disturbances. Neurocomputing 219:422–430

    Article  Google Scholar 

  6. Sung-Kwun Oh, Roh Seok-Beom (2010) The design of fuzzy controller based on genetic optimization and neurofuzzy networks. J Electr Eng Technol 5(4):653–665

    Article  Google Scholar 

  7. Kim W, Chen X, Lee Y, Chung CC, Tomizuka M (2018) Discrete-time nonlinear damping backstepping control with observers for rejection of low and high frequency disturbances. Mech Syst Signal Process 104(1):436–448

    Article  Google Scholar 

  8. Liu C, Zhang W (2017) Adaptive backs-tepping speed control for IPMSM with uncertain parameters. In: Proceedings of IEEE International Conference on Automation, Macau, China

  9. Peng Chao-Chung, Li Yunze, Chen Chieh-Li (2011) A robust integral type backstepping controller design for control of uncertain non-linear systems subject to disturbance. Int J Innovative Comput Inf Control 7(5):2543–2560

    Google Scholar 

  10. Lascu C, Jafarzadeh S, Fadali MS, Blaabjerg F (2017) Direct torque control with feedback linearization for induction motor drives. IEEE Trans Power Electron 32(3):2072–2080

    Article  Google Scholar 

  11. Lin C-K, Liu T-H, Yang S-H (2008) Nonlinear position controller design with input–output linearisation technique for an interior permanent magnet synchronous motor control system. IET Power Electron 1(1):14–26

    Article  Google Scholar 

  12. Khan Owais, Pervaiz Mahmood, Ahmad Ejaz, Iqbal Jamshed (2017) On the derivation of novel model and sophisticated control of flexible joint manipulator. Revue Roumaine des Sciences Techniques-Serie Electrotechnique et Energetique 62(1):103–108

    Google Scholar 

  13. Shansi Zhang, Shuyuan Ma, Weiming Wang (2018) Sliding mode control based on disturbance observer for magnetic levitation positioning stage. J Electr Eng Technol 13(5):103–2124

    Google Scholar 

  14. Oveisi Atta, Nestorovićwais Tamara (2016) Robust observer-based adaptive fuzzy sliding mode controller. Mech Syst Signal Process 76:58–71

    Article  Google Scholar 

  15. Das Buddhadeva, Mhaskar Prashant (2018) Adaptive output-feedback Lyapunov-based model predictive control of nonlinear process systems. Int J Robust Non-linear Control 28(5):1597–1609

    Article  MathSciNet  Google Scholar 

  16. Ahmad S, Ali N, Ayaz M, Ahmad E (2017) Design of robust fault detection filter using algorithm for a class of LTI systems. In: Proceedings of IEEE International Conference on Emerging Technologies, Islamabad, Pakistan

  17. Errouissi Rachid, Ouhrouche Mohand, Chen Wen-Hua, Trzynadlowski Andrzej M (2012) Robust nonlinear predictive controller for permanent-magnet synchronous motors with an optimized cost function. IEEE Trans Ind Electron 59(7):2849–2858

    Article  Google Scholar 

  18. Alam Waqar, Mehmood Adeel, Ali Khurram, Javaid Usman, Alharbi Soltan, Iqbal Jamshed (2018) Non-linear control of a flexible joint robotic manipulator with experimental validation. Strojniški vestnik-J Mech Eng 64(1):47–55

    Google Scholar 

  19. Mobayen Saleh, Baleanu Dumitru, Tchier Fairouz (2017) Second-order fast terminal sliding mode control design based on LMI for a class of non-linear uncertain systems and its application to chaotic systems. J Vib Control 23(18):2912–2925

    Article  MathSciNet  Google Scholar 

  20. Ali N, Alam W, Rehman AU, Pervaiz M (2017) State and disturbance observer based control for a class of linear uncertain systems. In: Proceedings of IEEE Frontiers of Information Technology Conference, Islamabad, Pakistan

  21. Jeong Min-Gil, Choi Ho-Lim (2015) Switching control of electromagnetic levitation system based on jacobian linearization and input–output feedback linearization. Trans Korean Inst Electr Eng 64(4):578–585

    Article  Google Scholar 

  22. Liu Yingying, Jinpeng Yu, Haisheng Yu, Lin Chong, Zhao Lin (2017) Barrier Lyapunov functions-based adaptive neural control for permanent magnet synchronous motors with full-state constraints. IEEE Access 5:10382–10389

    Article  Google Scholar 

  23. Wibowo WK, Jeong S-k (2013) Genetic algorithm tuned PI controller on PMSM simplified vector control. J Central South Univ 20(11):3042–3048

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nihad Ali.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ali, N., Ur Rehman, A., Alam, W. et al. Disturbance Observer Based Robust Sliding Mode Control of Permanent Magnet Synchronous Motor. J. Electr. Eng. Technol. 14, 2531–2538 (2019). https://doi.org/10.1007/s42835-019-00256-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s42835-019-00256-0

Keywords

Navigation