Abstract
The speed control stability of permanent magnet direct drive system (PMDDS) is very important under complex conditions. In order to improve the speed control stability of PMDDS, a mathematical model was established. Based on id = 0 motor vector control method, the speed loop and current loop control system of permanent magnet motor is constructed. Considering the uncertainty of parameters inside and outside the system, a sliding mode control method which is insensitive to parameters and strong anti-interference ability is introduced. Fuzzy sliding mode controller (Fuzzy-SMC) for PMDDS is established by using smooth switching function instead of traditional switching function. The proportional integral (PI), SMC and Fuzzy-SMC speed controllers are simulated and compared, respectively, under step load and simulated operating load. The results show that the designed Fuzzy-SMC speed controller has the characteristics of small overshoot and good robustness.
Similar content being viewed by others
Availability of data and materials
The data that support the findings of this study are available on request from the corresponding author upon reasonable request.
Code Availability
All data used to support the findings of this study are included in the paper.
References
Li Q, Feng G, Zhang B et al (2021) Investigation into fault tolerant capability of new modular low-speed and high-torque direct-drive permanent magnet motor based on unequal span winding. IET Electr Power Appl 15(10):1358–1383
Degano M, Murataliyev M, Wang S et al (2021) Optimised design of permanent magnet assisted synchronous reluctance machines for household appliances. IEEE Trans Energy Convers 36(4):3084–3095
Yu S, Yu L (2010) Analysis of noise and vibration from permanent magnet synchronous motor for NC machine tool servo system. Noise Vib Worldw 41(10):3–8
Zhang B, You S, Liu M et al (2021) Design and parameter tuning of nonlinear active disturbance rejection controller for permanent magnet direct drive wind power converter system. IEEE Access 9:33836–33848
Bruzzese C, Tessarolo A, Mazzuca T et al (2013) A closer look to conventional hydraulic ship actuator systems and the convenience of shifting to (possibly) all-electric drives. In: Electric Ship Technologies Symposium. IEEE, 2013
Zhang Y, Xu D, Liu J et al (2017) Performance improvement of model-predictive current control of permanent magnet synchronous motor drives. IEEE Trans Ind Appl 5(4):1–5
Preindl M, Bolognani S (2013) Model predictive direct torque control with finite control set for PMSM drive systems, part 2: field weakening operation. IEEE Trans Ind Inf 9(2):648–657
Liu M, Chan KW, Hu J et al (2019) Model predictive direct speed control with torque oscillation reduction for PMSM drives. IEEE Trans Ind Inf 15(9):4944–4956
Hui X, Liu P, Shi H et al (2012) Speed control for PMSM servo system using predictive functional control and extended state observer. IEEE Trans Ind Electron 59(2):1171–1183
Xiao G, Zhang Q, Li Z et al (2012) Nonlinear speed control for PMSM system using sliding-mode control and disturbance compensation techniques. IEEE Trans Power Electron 28(3):1358–1365
Satpathy SR, Pradhan S, Pradhan R et al (2021) Direct torque control of mathematically modeled induction motor drive using PI-Type-I fuzzy logic controller and sliding mode controller intelligent systems. In: Proceedings of ICMIB 2020. Springer, Singapore pp 239–251
Sun C, Gong G, Yang H et al (2019) Fuzzy sliding mode control for synchronization of multiple induction motors drive. Trans Inst Meas Control 41(11):3223–3234
Gedara AD, Ekneligoda NC (2018) Direct torque control of induction motor using sliding-mode and fuzzy-logic methods. In: 2018 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT). IEEE, 2018: pp 1–5
El Daoudi S, Lazrak L, El Ouanjli N et al (2021) Sensorless fuzzy direct torque control of induction motor with sliding mode speed controller. Comput Electr Eng 96:107490
Fereka D, Zerikat M, Belaidi A (2018) MRAS sensorless speed control of an induction motor drive based on fuzzy sliding mode control. In: 2018 7th International Conference on Systems and Control (ICSC). IEEE, 2018, pp 230–236
Divandari M, Rezaie B, Noei AR (2019) Speed control of switched reluctance motor via fuzzy fast terminal sliding-mode control. Comput Electr Eng 80:106472
Zhu C, Tu Q, Jiang C et al (2020) A cross coupling control strategy for dual-motor speed synchronous system based on second order global fast terminal sliding mode control. IEEE Access 8:217967–217976
Ding H, Zou X, Li J (2022) Sensorless control strategy of permanent magnet synchronous motor based on fuzzy sliding mode observer. IEEE Access 10:36743–36752
Nicola M, Nicola C I, DuŢĂ M (2019) Adaptive sensorless control of PMSM using back-EMF sliding mode observer and fuzzy logic. In: 2019 Electric Vehicles International Conference (EV). IEEE, 2019, pp 1–6
Rahali H, Zeghlache S, Benyettou L (2022) Design of hybrid sliding mode control via fuzzy logic synthesized by backstepping approach for double star induction motor. In: Online International Symposium on Applied Mathematics and Engineering (ISAME22) January 21–23, 2022 Istanbul-Turkey p 111
Rahali H, Zeghlache S, Benyettou L et al (2019) Backstepping sliding mode controller improved with interval type-2 fuzzy logic applied to the dual star induction motor. Int J Comput Intell Appl 18(02):1950012
Masoudi S, Soltanpour MR, Abdollahi H (2018) Adaptive fuzzy control method for a linear switched reluctance motor. IET Electr Power Appl 12(9):1328–1336
Azadru A, Masoudi S, Ghanizadeh R et al (2019) New adaptive fuzzy sliding mode scheme for speed control of linear switched reluctance motor. IET Electr Power Appl 13(8):1141–1149
Ma X, Wong PK, Zhao J et al (2019) Cornering stability control for vehicles with active front steering system using TS fuzzy based sliding mode control strategy. Mech Syst Signal Process 125:347–364
Acknowledgements
This work is supported by the free exploration of natural science research surface project in Shanxi Province (Grant No. 202103021224336).
Funding
Free exploration of natural science research surface project in Shanxi Province (Grant No. 202103021224336).
Author information
Authors and Affiliations
Contributions
YQ contributed significantly to analysis and manuscript preparation; YQ and KW performed the data analyses and wrote the manuscript.
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Qiao, Y., Wang, K. Fuzzy sliding mode speed control strategy of permanent magnet motor under variable load condition. Int. J. Dynam. Control 12, 1616–1625 (2024). https://doi.org/10.1007/s40435-023-01285-4
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40435-023-01285-4