An extended state observer (ESO) based fuzzy adaptive sliding mode control (FASMC) for permanent magnet synchronous motor (PMSM) drive system is proposed in this paper. In order to improve the disturbance rejection property, a dynamic disturbance compensation method is developed based on extended state observer. A fuzzy adaptive sliding mode control method with a novel sliding mode reaching law is presented to enhance the tracking performance. Then, the proposed method called FASMC-ESO, is applied to regulate the speed of PMSM. The global asymptotic stability analysis of the system is proved by Lyapunov functions. Comparative simulation and experiment results verify the effectiveness of the proposed method.
RickS.PutriA.K.FranckD., Hybrid acoustic model of electric vehicles: Force excitation in permanent-magnet synchronous machines, IEEE Transactions on Industry Applications52 (2016), 2979–2987.
2.
ZhangC.ZhaoG.Z. and King JetT., Decoupling robust decoupling control of a three-link robot arm directly driven by permanent magnet synchronous motors, International Journal of Applied Electromagnetics and Mechanics36 (2011), 279–293.
3.
TürkerT.BuyukkelesU. and Faruk BakanA., A robust predictive current controller for PMSM drives, IEEE Transactions on Industrial Electronics63 (2016), 3906–3914.
4.
JiangY.J.XuW.MuC.X., Improved deadbeat predictive current control combined sliding mode strategy for PMSM drive system, IEEE Transactions on Vehicular Technology67 (2018), 251–263.
5.
XuW.JiangY.J. and MuC.X., Novel composite sliding mode control for PMSM drive system based on disturbance observer, IEEE Transactions on Applied Superconductivity26 (2016), 1–5.
6.
El-SousyF.F.M., Robust wavelet-neural-network sliding mode control system for permanent magnet synchronous motor drive, IET Electric Power Applications5 (2011), 113–132.
7.
ChangS.H.ChenP.Y.TingY.H., Robust current control-based sliding mode control with simple uncertainties estimation in permanent magnet synchronous motor drive systems, IET Electric Power Applications4 (2010), 441–450.
8.
LiS.H. and GuH., Fuzzy adaptive internal model control schemes for PMSM speed-regulation system, IEEE Transactions on Industrial Informatics8 (2012), 767–779.
9.
ZhangX.G.SunL.Z. and ZhaoK., Nonlinear speed control for PMSM system using sliding mode control and disturbance compensation techniques, IEEE Transactions on Power Electronics28 (2013), 1358–1365.
10.
WangA.M.JiaX.W. and DongS.H., A new exponential reaching law of sliding mode control to improve performance of permanent magnet synchronous motor, IEEE Transactions on Magnetics49 (2013), 2409–2412.
11.
LiS.H.M.M.Zhou and X.H.Yu, Design and implementation of terminal sliding mode control method for PMSM speed regulation system, IEEE Transactions on Industrial Informatics9 (2013), 1879–1891.
12.
CheemaM.A.M.FletcherJ.E. and FarshadniaM., Combined speed and direct thrust force control of linear permanent-magnet synchronous motors with sensorless speed estimation using a sliding mode control with integral action, IEEE Transactions on Industrial Electronics64 (2017), 3489–3501.
13.
RepechoV.BielD. and AriasA., Fixed switching period discrete-time sliding mode current control of a PMSM, IEEE Transactions on Industrial Electronics65 (2018), 2039–2048.
14.
KashaniA.R.G.FaizJ. and YazdanpanahM.J., Integration of non-linear H∞ and sliding mode control techniques for motion control of a permanent magnet synchronous motor, IET Electric Power Applications4 (2010), 267–280.
15.
LeuV.Q.ChoiH.H. and JungJ.W., Fuzzy sliding mode speed controller for PM synchronous motors with a load torque observer, IEEE Transactions on Power Electronics27 (2012), 1530–1539.
16.
YangJ.LiS.H. and YuX.H., Sliding mode control for systems with mismatched uncertainties via a disturbance observer, IEEE Transactions on Industrial Electronics60 (2013), 160–169.
17.
HouL.M.LiW.H.ShenH.S., Fuzzy sliding mode control for systems with matched and mismatched uncertainties/disturbances based on ENDOB, IEEE Access7 (2019), 666–673.
18.
LiuJ.LiH.w. and DengY.T., Torque ripple minimization of PMSM based on robust ILC via adaptive sliding mode control, IEEE Transactions on Power Electronics33 (2017), 3655–3671.
19.
LiuX.D.YuH.S.YuJ.P., Combined speed and current terminal sliding mode control with nonlinear disturbance observer for PMSM drive, IEEE Access6 (2018), 29594–29601.
20.
FengY.YuX.H. and HanF.L., High-order terminal sliding mode observer for parameter estimation of a permanent-magnet synchronous motor, IEEE Transactions on Industrial Electronics60 (2013), 4272–4280.
21.
LaiC.K. and ShyuK.K., A novel motor drive design for incremental motion system via sliding mode control method, IEEE Transactions on Industrial Electronics52 (2005), 499–507.
22.
XuJ.X.PandaS.K.PanY.J., A modular control scheme for PMSM speed control with pulsating torque minimization, IEEE Transactions on Industrial Electronics51 (2004), 526–536.
23.
LuX.Q.LinH.Y. and HanJ.L., Load disturbance observer-based control method for sensorless PMSM drive, IET Electric Power Applications10 (2016), 735–743.
24.
TamiR.BoutatD.ZhengG., Rotor speed, load torque and parameters estimations of a permanent magnet synchronous motor using extended observer forms, IET Control Theory & Applications11 (2017), 1485–1492.
25.
YinZ.G.GongL.DuC., Integrated position and speed loops under sliding mode control optimized by differential evolution algorithm for PMSM drives, IEEE Transactions on Power Electronics28(34) 8994–9005.
26.
LiuH.X. and LiS.H., Speed control for PMSM servo system using predictive functional control and extended state observer, IEEE Transactions on Industrial Electronics59 (2012), 1171–1183.
27.
YangM.LangX.Y. and LongJ., Flux immunity robust rredictive current control with incremental model and extended state observer for PMSM drive, IEEE Transactions on Power Electronics32 (2017), 9267–9279.
28.
LiS.H. and LiuZ.G., Adaptive speed control for permanent-magnet synchronous motor system with variations of load inertia, IEEE Transactions on Industrial Electronics56 (2009), 3050–3059.
29.
WangL.WangM.Y. and GuoB., Analysis and design of a speed controller for electric load simulators, IEEE Transactions on Industrial Electronics63 (2016), 7413–7422.
30.
LiG.T.XuW.F. and ZhaoJ.G., Precise robust adaptive dynamic surface control of permanent magnet synchronous motor based on extended state observer, IET Science, Measurement & Technology11 (2017), 590–599.
31.
ValenteG.formentiniA.PapiniL., Performance-enhanced robust iterative learning control with experimental application to PMSM position tracking, IEEE Transactions on Power Electronics34 (2019), 3575–3585.
32.
XueY.M.ZhengB.C. and YuX.H., Robust sliding mode control for T-S fuzzy systems via quantized state feedback, IEEE Transactions on Fuzzy Systems26 (2018), 2261–2272.
33.
ChenL.H.LiuM. and HuangX.L., Adaptive fuzzy sliding mode control for network-based nonlinear systems with actuator failures, IEEE Transactions on Fuzzy Systems26 (2018), 1311–1323.
