Sensorless sliding mode control method for a three-phase induction motor

被引：0
作者：
Nguyen Vinh Quan
Mai Thang Long
机构：
[1] HCMC University of Technology and Education,Faculty of Electrical and Electronics Engineering
[2] Industrial University of Ho Chi Minh City,Faculty of Electronics Technology
来源：
Electrical Engineering | 2022年 / 104卷
关键词：
Induction motor; Sliding mode control; Sensorless control; Neural network;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper improved a sensorless sliding mode control strategy for the three-phase induction motor system. Based on the decoupled control scheme, two sliding mode controllers for the flux and rotor speed are the main control method for the tracking control. In the proposed sliding mode strategy, the sliding mode surfaces as the nonlinear exponential function are applied to reduce the chattering phenomena. The requirement of the rotor speed is relaxed by the observer based neural networks estimator. In addition, the online updating algorithm for the speed observer and the SMC control laws are obtained in the sense of the Lyapunov stability theorem. Therefore, the stability, robustness and tracking control features are guaranteed. The effectiveness of the proposed control system is demonstrated by comparative simulation and experiment results for the three-phase asynchronous induction motor 1 hp.
引用
收藏
页码：3685 / 3695
页数：10
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[21]  
Goedtel A(2010)Improved discrete-time sliding-mode position control using euler velocity estimation IEEE Trans Ind Electron 57 3840-3847
[22]  
Castoldi MF(2011)Position-sensorless hybrid sliding-mode control of electric vehicles with brushless dc motor IEEE Trans Veh Technol 60 421-432
[23]  
Pereira WCA(2014)A new sliding mode speed observer of electric motor drive based on fuzzy-logic Acta Polytech Hung 11 219-232
[24]  
Hajary A(2015)Decoupled current control and sensor fault detection with second-order sliding mode for induction motor IET Cont Theo Appli 9 608-617
[25]  
Kianinezhad R(2016)Neural network observer design for sensorless control of induction motor drive IFAC-PapersOnLine 49 106-111
[26]  
Seifossadat SG(2020)Fuzzy improvement on Luenberger observer based induction motor parameters estimation for high performances sensorless drive J Electr Eng Technol 15 2179-2197
[27]  
Mortazavi SS(2018)Full-order observer for direct torque control of induction motor based on constant V/F control technique ISA Trans 73 189-200
[28]  
Saffarian A(2020)Fast restarting of free-running induction motors under speed-sensorless vector control IEEE Trans Ind Electron 67 6124-6134
[29]  
Shi S(2020)Fault-tolerant control of Y-connected three-phase induction motor drives without speed measurement Measurement 149 1-14
[30]  
Sun Y(2015)A novel neural network vector control technique for induction motor drive IEEE Trans Ener Conv 30 1428-1437
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