Skip to main content

Advertisement

SpringerLink
Log in

Model-free design of speed tracking controller via fuzzy Lyapunov synthesis for a surface-mounted PMSM

  • Original Paper
  • Published:
Electrical Engineering Aims and scope Submit manuscript

Abstract

This paper deals with a model-free closed-loop fuzzy logic controller development to solve the speed tracking problem for a permanent magnet synchronous motor. The design procedure takes advantage of the fuzzy Lyapunov synthesis approach supporting the stability of the system. In contrast to traditional design control techniques, this solution does not require an a priori knowledge of the plant’s mathematical model. On the other hand, with an advantageous practical meaning, the fuzzy logic controller can be estimated through qualitative knowledge about the physical plant behavior. Lyapunov theory takes action allowing find rules that ensure stability instead of the traditional fuzzy logic controller where formal control strategies are involved. Additionally, the proposal is compared against well-known PI-controller under the same dynamical conditions, obtaining a more efficient control in terms of energy consumption without losing performance. The designed fuzzy controller performance is validated with simulations and experiments, verifying that the designed fuzzy controller can accurately solve the tracking problem on permanent magnet synchronous motors.

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

Access this article

Log in via an institution

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
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. Ahmad M (2010) High performance AC drives: modelling analysis and control; London. Springer

  2. Thangarajan K, Soundarrajan A (2020) Performance comparison of permanent magnet synchronous motor (PMSM) drive with delay compensated predictive controllers. Microprocess Microsyst 75:103081

    Article  Google Scholar 

  3. Arias A, Ibarra E, Trancho E, Griñó R, Kortabarria I, Caum J (2019) Comprehensive high speed automotive SM-PMSM torque control stability analysis including novel control approach. Int J Electr Power Energy Syst 109:423–433

    Article  Google Scholar 

  4. Verrelli CM (2012) Synchronization of permanent magnet electric motors: new nonlinear advanced results. Nonlinear Anal: Real World Appl 13:395–409

    Article  MathSciNet  Google Scholar 

  5. Mayo ÁP, Saenz-Aguirre A, Martín F, Vadillo J (2020) FOC-Droop control strategy for PMSM fed paralleled multi-inverter power systems oriented to aeronautical applications. Electric Power Syst Res 185:106369

    Article  Google Scholar 

  6. Zribi M, Oteafy A, Smaoui N (2009) Controlling chaos in the permanent magnet synchronous motor. Chaos Solitons Fract 41:1266–1276

    Article  Google Scholar 

  7. Zhang J, Wang S, Zhou P, Zhao L, Li S (2020) Novel prescribed performance-tangent barrier Lyapunov function for neural adaptive control of the chaotic PMSM system by backstepping. Int J Electr Power Energy Syst 121:105991

    Article  Google Scholar 

  8. Wang C, Zhu Z (2020) Fuzzy logic speed control of permanent magnet synchronous machine and feedback voltage ripple reduction in flux-weakening operation region. IEEE Trans Ind Appl 56:1505–1517

    Article  Google Scholar 

  9. Tarczewski T, Grzesiak LM (2018) An application of novel nature-inspired optimization algorithms to auto-tuning state feedback speed controller for PMSM. IEEE Trans Ind Appl 54:2913–2925

    Article  Google Scholar 

  10. Kumar V, Gaur P, Mittal A (2014) ANN based self tuned PID like adaptive controller design for high performance PMSM position control. Expert Syst Appl 41:7995–8002

    Article  Google Scholar 

  11. Cheng S, Yu J, Lin C, Zhao L, Ma Y (2020) Neuroadaptive finite-time output feedback control for PMSM stochastic nonlinear systems with iron losses via dynamic surface technique. Neurocomputing 402:162–170

    Article  Google Scholar 

  12. Khanchoul M, Hilairet M, Normand-Cyrot D (2014) A passivity-based controller under low sampling for speed control of PMSM. Control Eng Practice 26:20–27

    Article  Google Scholar 

  13. Liu X, Yu H, Yu J, Zhao Y (2019) A novel speed control method based on port-controlled Hamiltonian and disturbance observer for PMSM drives. IEEE Access 7:111115–111123

    Article  Google Scholar 

  14. Wang Y, Feng Y, Zhang X, Liang J (2019) A new reaching law for antidisturbance sliding-mode control of PMSM speed regulation system. IEEE Trans Power Electron 35:4117–4126

    Article  Google Scholar 

  15. Feng L, Deng M, Xu S, Huang D (2020) Speed regulation for PMSM drives based on a novel sliding mode controller. IEEE Access 8:63577–63584

    Article  Google Scholar 

  16. Szczepanski R, Tarczewski T, Grzesiak LM (2019) Adaptive state feedback speed controller for PMSM based on Artificial Bee Colony algorithm. Appl Soft Comput 83:105644

    Article  Google Scholar 

  17. Deng Y, Wang J, Li H, Liu J, Tian D (2019) Adaptive sliding mode current control with sliding mode disturbance observer for PMSM drives. ISA Trans 88:113–126

    Article  Google Scholar 

  18. Chen Y, Li M, Gao Y.W, Chen Z.Y (2019) A sliding mode speed and position observer for a surface-mounted PMSM. ISA transactions, 87, 17–27

  19. Zhang W, Cao B, Nan N, Li M, Chen Y (2021) An adaptive PID-type sliding mode learning compensation of torque ripple in PMSM position servo systems towards energy efficiency. ISA Trans 110:258–270

    Article  Google Scholar 

  20. Verrelli CM, Tomei P (2020) Global stability for the inner and outer PI control actions in non-salient-pole PMSMs. Automatica 117:108988

    Article  MathSciNet  Google Scholar 

  21. Li S, Gu H (2012) Fuzzy adaptive internal model control schemes for PMSM speed-regulation system. IEEE Trans Ind Inf 8:767–779

    Article  Google Scholar 

  22. Kuraku NVP, He Y, Shi T, Gatla RK, Yi R (2019) Fuzzy logic based open-circuit fault diagnosis in IGBT for CMLI fed PMSM drive. Microelectron Reliabil 100:113415

    Article  Google Scholar 

  23. Castillo O, Aguilar L, Cázarez N, Cardenas S (2008) Systematic design of a stable type-2 fuzzy logic controller. Appl Soft Comput 8:1274–1279

    Article  Google Scholar 

  24. Cazarez-Castro NR, Aguilar LT, Castillo O (2012) Designing type-1 and type-2 fuzzy logic controllers via fuzzy Lyapunov synthesis for nonsmooth mechanical systems. Eng Appl Artif Intell 25:971–979

    Article  Google Scholar 

  25. Cazarez Castro NR, Aguilar Bustos LT, Castillo López O (2011) Designing type-1 fuzzy logic controllers via fuzzy Lyapunov synthesis for nonsmooth mechanical systems: the perturbed case. Computación y Sistemas 14:283–293

    Google Scholar 

  26. Krause PC, Wasynczuk O, Sudhoff SD, Pekarek SD (2013) Analysis of electric machinery and drive systems, vol 75. Wiley

  27. Acarnley PP, Watson JF (2006) Review of position-sensorless operation of brushless permanent-magnet machines. IEEE Trans Ind Electron 53:352–362

    Article  Google Scholar 

  28. Pitalúa-Díaz N, Herrera-López EJ, Valencia-Palomo G, González-Angeles A, Rodríguez-Carvajal RA, Cazarez-Castro NR (2015) Comparative Analysis between Conventional PI and Fuzzy LogicPI Controllers for Indoor Benzene Concentrations. Sustainability 7:5398–5412

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Departamento de Ingeniería Eléctrica y Electrónica, Tecnológico Nacional de México – Instituto Tecnológico de Tijuana, Alberto Limón Padilla S/N, Mesa de Otay, Tijuana, B.C., Mexico

    Paul J. Campos, Luis N. Coria & Nohe R. Cazarez-Castro

Authors
  1. Paul J. Campos
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Luis N. Coria
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Nohe R. Cazarez-Castro
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Nohe R. Cazarez-Castro.

Additional information

Publisher's Note

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

This research was partially financed in the framework of the following projects: Tecnológico Nacional de México, 5564.19-P, 8085.20-P, 11122.21-P and 13391.21-P.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Campos, P.J., Coria, L.N. & Cazarez-Castro, N.R. Model-free design of speed tracking controller via fuzzy Lyapunov synthesis for a surface-mounted PMSM. Electr Eng 104, 1565–1572 (2022). https://doi.org/10.1007/s00202-021-01414-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00202-021-01414-2

Keywords

Search

Navigation