Skip to main content
Springer Nature Link
Log in

Adaptive Lyapunov-based neural network sensorless control of permanent magnet synchronous machines

  • Original Article
  • Published:
Neural Computing and Applications Aims and scope Submit manuscript

Abstract

In this paper, an adaptive neural network sensorless control scheme is introduced for permanent magnet synchronous machines (PMSMs). The control strategy consists of an adaptive speed controller that capitalizes on the machine’s inverse model to achieve accurate tracking, two artificial neural networks (ANNs) for currents control, and an ANN-based observer for speed estimation to overcome the drawback associated with the use of mechanical sensors while the rotor position is obtained by the estimated rotor speed direct integration to reduce the effect of the system noise. A Lyapunov stability-based ANN learning technique is also proposed to insure the ANNs’ convergence and stability. Unlike other sensorless control strategies, no a priori offline training, weights initialization, voltage transducer, or mechanical parameters knowledge is required. Results for different situations highlight the performance of the proposed controller in transient, steady-state, and standstill conditions.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  1. Ambrozic V, Buja G, Menis R (2004) Band-constrained technique for direct torque control of induction motor. IEEE Trans Ind Electron 51(4):776–784

    Article  Google Scholar 

  2. Bae BH, Sul SK, Kwon JH, Byeon JS (2003) Implementation of sensorless vector control for super-high-speed PMSM of turbo-compressor. IEEE Trans Ind Appl 39(3):811–818

    Article  Google Scholar 

  3. Bolognani S, Peretti L, Zigliotto M (2009) Design and implementation of model predictive control for electrical motor drives. IEEE Trans Ind Electron 56(6):1925–1936

    Article  Google Scholar 

  4. Bolognani S, Tubiana L, Zigliotto M (2003) Extended kalman filter tuning in sensorless PMSM drives. IEEE Trans Ind Appl 39(6):1741–1747

    Article  Google Scholar 

  5. Boussak M (2005) Implementation and experimental investigation of sensorless speed control with initial rotor position estimation for interior permanent magnet synchronous motor drive. IEEE Trans Power Electron 20(6):1413–1422

    Article  Google Scholar 

  6. Buja G, Kazmierkowski M (2004) Direct torque control of PWM inverter-fed AC motors—a survey. IEEE Trans Ind Electron 51(4):744–757

    Article  Google Scholar 

  7. Chaoui H, Gueaieb W, Yagoub MC (2009) ANN-based adaptive motion and posture control of an inverted pendulum with unknown dynamics. In: IEEE signals, circuits and systems international conference

  8. Chaoui H, Gueaieb W, Yagoub MC (2009) Neural network based speed observer for interior permanent magnet synchronous motor drives. In: IEEE electrical power and energy conference

  9. Chaoui H, Sicard P, Gueaieb W (2009) ANN-based adaptive control of robotic manipulators with friction and joint elasticity. IEEE Trans Ind Electron 56(8):10.1109/TIE.2009.2024657

  10. de Silva CW (1995) Intelligent control fuzzy logic applications. CRC Press, Boca Raton

    MATH  Google Scholar 

  11. Drobnic K, Nemec M, Nedeljkovic D, Ambrozic V (2009) Predictive direct control applied to AC drives and active power filter. IEEE Trans Ind Electron 56(6):1884–1893

    Article  Google Scholar 

  12. Freeman RA, Kokotovic PV (1996) Lyapunov design. In: The control handbook, vol 77, pp 932–940

  13. French C, Acarnley P (1996) Direct torque control of permanent magnet drives. IEEE Trans Ind Appl 32(5):1080–1088

    Article  Google Scholar 

  14. Idris N, Yatim A (2004) Direct torque control of induction machines with constant switching frequency and reduced torque ripple. IEEE Trans Ind Electron 51(4):758–767

    Article  Google Scholar 

  15. Jiaxi L, Guijie Y, Pengfei Y (2007) Rotor position estimation for PMSM based on sliding mode observer. In: IEEE international conference on mechatronics and automation, pp 3684–3689

  16. Jin H, Lee J (2009) An RMRAC current regulator for permanent-magnet synchronous motor based on statistical model interpretation. IEEE Trans Ind Electron 56(1):169–177

    Article  Google Scholar 

  17. Lin FJ, Chou PH (2009) Adaptive control of two-axis motion control system using interval type-2 fuzzy neural network. IEEE Trans Ind Electron 56(1):178–193

    Article  Google Scholar 

  18. Morel F, Retif JM, Xuefang LS, Valentin C (2008) Permanent magnet synchronous machine hybrid torque control. IEEE Trans Ind Electron 55(2):501–511

    Article  Google Scholar 

  19. Ndjana H, Lautier P (2006) Sensorless vector control of an IPMSM using unscented kalman filtering. In: IEEE international symposium on industrial electronics, pp 2242–2247

  20. Piippo A, Hinkkanen M, Luomi J (2008) Analysis of an adaptive observer for sensorless control of interior permanent magnet synchronous motors. IEEE Trans Ind Electron 55(2):570–576

    Article  Google Scholar 

  21. Rahman MF, Haque LZE, Rahman MA (2003) A direct torque-controlled interior permanent-magnet synchronous motor drive without a speed sensor. IEEE Trans Energy Convers 18(1):17–22

    Article  Google Scholar 

  22. Solsona J, Valla MI, Muravchik C (2000) Nonlinear control of a permanent magnet synchronous motor with disturbance torque estimation. IEEE Trans Energy Convers 15(2):163–168

    Article  Google Scholar 

  23. Yan R, Li B, Zhou F (2008) Sensorless control of PMSMs based on parameter-optimized MRAS speed observer. In: IEEE international conference on automation and logistics, pp 1573–1578

Download references

Author information

Authors and Affiliations

  1. Industrial Electronics Research Group, Electrical and Computer Engineering Department, School of Engineering, Université du Québec à Trois-Rivières, Trois-Rivières, QC, G9A 5H7, Canada

    Hicham Chaoui & Pierre Sicard

Authors
  1. Hicham Chaoui
    View author publications

    You can also search for this author inPubMed Google Scholar

  2. Pierre Sicard
    View author publications

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence to Hicham Chaoui.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chaoui, H., Sicard, P. Adaptive Lyapunov-based neural network sensorless control of permanent magnet synchronous machines. Neural Comput & Applic 20, 717–727 (2011). https://doi.org/10.1007/s00521-010-0412-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00521-010-0412-6

Keywords