Abstract
This article has been focused on the design of the artificial neural network with fuzzy inference system (ANFIS) for the speed control of permanent magnet synchronous motor (PMSM). PMSM is widely used in industrial applications such as robotic manipulators and machine tools due to the high efficiency, high torque to weight ratio and smaller size. One of the efficient control strategies of PMSM is based on ANFIS. ANFIS is very popular technique to deal with uncertainties. System dynamics in such cases can be compared with combining the proportional–integral–derivative (PID) with the Sliding Mode Controller (SMC). Simulations have been performed in MATLAB to validate the performance of the proposed model, and comparisons are made with ANFIS, SMC–PID and PID controllers compared to other controllers reported in the benchmark of the proposed controller’s efficiency. The proposed adaptive neuro-fuzzy-dependent results indicate good transient efficiency. Robustness against the robustness of adaptive neuro-fuzzy-based PID and SMC–PID controllers is satisfactory in terms of easy settling time, zero peaks overflow and zero steady state error. The simulation results have been implemented in MATLAB 2019b, and experimental results are implemented in BD63030.
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References
Baik I, Kim K, Youn M (2010) Robust nonlinear speed control of PM synchronous motor using boundary layer integral sliding mode control technique. IEEE Trans Control Syst Technol 8(1):47–54
Camacho O, Smith CA (2000) Sliding mode control: an approach to regulate nonlinear chemical processes. ISA Trans 39(2):205–218
Chang S, Chen P, Ting Y, Hung S (2010) Robust current control-based sliding mode control with simple uncertainties estimation in permanent magnet synchronous motor drive systems. IET Electr Power Appl 4(6):441–450
Chen W, Yang J, Guo L (2016) Disturbance-observer-based control and related methods-an overview. IEEE Trans Ind Electron 63(2):1083–1095
Choi HH (2012) LMI-based sliding surface design for integral sliding model control of mismatched uncertain systems. IEEE Trans Autom Control 52(4):736–742
Darba A, Belie FD, Haese PD (2016) Improved dynamic behavior in BLDC drives using model predictive speed and current control. IEEE Trans Ind Electron 63(2):728–740
Du C, Yang C, Li F, Gui W (2018) A novel asynchronous control for artificial delayed Markovian jump systems via output feedback sliding mode approach. IEEE Trans Autom Control. https://doi.org/10.1109/TSMC.2018.2815032
Errouissi R, Ai-Durra A, Muyeen SM, Leng S (2017) Continuous-time model predictive control of a permanent magnet synchronous motor drive with disturbance decoupling. IET Electr Power Appl 11(5):697–706
Feng D, Huang J, Wang Y (2017) Sliding mode control with an extended disturbance observer for a class of underactuated system in cascade form. Nonlinear Dyn 90(4):2571–2582
Han S, Chen Y, Tang G (2017) Fault diagnosis and fault-tolerant tracking control for discrete-time systems with faults and delays in actuator and measurement. J Franklin Inst 354(12):4719–4738
Karttunen J, Kallio S, Peltoniemi P (2016) Current harmonic compensation in dual three-phase PMSMs using a disturbance observer. IEEE Trans Ind Electron 63(1):583–594
Katsuji S, Yoshitaka M, Toshiyuki I (2015) Singularity-free adaptive speed tracking control for uncertain permanent magnet synchronous motor. IEEE Trans Power Electron 31(2):1692–1701
Lang X, Yang M, Long J (2016) A novel direct predictive speed and current controller for PMSM drive. In: Proceedings of 8th international power electronics and motion control conference, Hefei, China, pp 2551–2556
Li T, Rogovchenko YV (2018) Oscillation criteria for second-order superlinear Emden–Fowler neutral differential equations. Monatshefte für Mathematik 184(3):489–500
Li S, Zhou M, Yu X (2013) Design and implementation of terminal sliding mode control method for PMSM speed regulation system. IEEE Trans Ind Inform 9(4):1879–1891
Li F, Du C, Yang C, Gui W (2017) Passivity-based asynchronous sliding mode control for delayed singular markovian jump systems. IEEE Trans Autom Control. https://doi.org/10.1109/TAC.2017.2776747
Liu X, Zhang C, Li K (2017) Robust current control-based generalized predictive control with sliding mode disturbance compensation for PMSM drives. ISA Trans 71(2):542–552
Mohamed YARI (2007) Design and implementation of a robust current control scheme for a PMSM vector drive with a simple adaptive disturbance observer. IEEE Trans Ind Electron 54(4):1981–1988
Mynar Z, Vesely L, Vaclavek P (2016) PMSM model predictive control with field-weakening implementation. IEEE Trans Ind Electron 63(8):5156–5166
Petrovic V, Ortega R, Stankovic A (2001) Interconnection and damping assignment approach to control of PM synchronous motors. IEEE Trans Control Syst Technol 9(6):811–820
Sun Z, Guo T, Yan Y, Wang X (2017) A composite current-constrained control for permanent magnet synchronous motor with time-varying disturbance. Adv Mech Eng 9(9):1–13
Tao R, Ma J, Zhao H (2017) Torque ripple minimization in PMSM based on an indirect adaptive robust controller. Math Problems Eng 2017(2):1–10
Yang J, Li S, Chen W (2012) Nonlinear disturbance observer-based control for multi-input multi-output nonlinear systems subject to mismatching condition. Int J Control 82(8):1071–1082
Yang J, Chen W, Li S (2017) Disturbance/uncertainty estimation and attenuation techniques in PMSM drives—a survey. IEEE Trans Ind Electron 64(4):3273–3285
Yang J, Li S, Su J (2013) Continuous nonsingular terminal sliding mode control for systems with mismatched disturbances. Automatica 49(7):2287–2291
Yu J, Ma Y, Yu H, Lin C (2016) Reduced-order observer-based adaptive fuzzy tracking control for chaotic permanent magnet synchronous motors. Neurocomputing 214:201–209
Yu J, Shi P, Zhao L (2018a) Finite-time command filtered backstepping control for a class of nonlinear systems. Automatica 2018(92):173–180
Yu J, Chen B, Yu H, Lin C (2018b) Neural networks-based command filtering control of nonlinear systems with uncertain disturbance. Inf Sci 426:50–60
Zhang X, Jiang Y, Zhao K (2013a) Sliding-mode variable-structure control of high-speed PMSM based on precision linearization control. Electr Power Autom Equipm 33(6):58–63
Zhang X, Sun L, Zhao K, Sun L (2013b) Nonlinear speed control for PMSM system using sliding-mode control and disturbance compensation techniques. IEEE Trans Power Electron 28(3):1358–1365
Zhang B, Pi Y, Luo Y (2012) Fractional order sliding-mode control based on parameters auto-tuning for velocity control of permanent magnet synchronous motor. ISA Trans 51(5):649–656
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Shanthi, R., Kalyani, S. & Devie, P.M. Design and performance analysis of adaptive neuro-fuzzy controller for speed control of permanent magnet synchronous motor drive. Soft Comput 25, 1519–1533 (2021). https://doi.org/10.1007/s00500-020-05236-5
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DOI: https://doi.org/10.1007/s00500-020-05236-5