Real time implementation of a new fuzzy-sliding-mode-observer for sensorless IM drive

The purpose of this paper is to improve the performance of sensorless vector control of induction motor drives by developing a new sliding mode observer for rotor speed and fluxes estimation from measured stator currents and voltages and estimated stator currents.,In the present paper, the discontinuity in the sliding mode observer is smoothed inside a thin boundary layer using fuzzy logic techniques instead of sign function to reduce efficiently the chattering phenomenon that affects the rotor speed.,The feasibility of the proposed fuzzy sliding mode observer has been verified by experimentation. The experimental results are obtained with a 1 kW induction motor using a dSPACE system with DS1104 controller board showing clearly the effectiveness of the proposed approach in terms of dynamic performance compared to the classical sliding mode observer.,The experimental results of the whole control structure highlights that this kind of sensorless induction motor drive can be used for variable speed drive in industrial applications such as oil drilling, electric vehicles, high speed trains (HSTs) and conveyers. Such drives may work properly at zero and low speed in both directions of rotation.,Both the proposed speed observer and the classical sliding mode observer have been developed and implemented experimentally with other adaptive observers for detailed comparison under different operating conditions, such as parameter variation, no-load/load disturbances and speed variations in different speed operation regions.

[1]  Myo-Taeg Lim,et al.  Switching Extensible FIR Filter Bank for Adaptive Horizon State Estimation With Application , 2016, IEEE Transactions on Control Systems Technology.

[2]  Yassine Koubaa,et al.  Luenberger state observer for speed sensorless ISFOC induction motor drives , 2012 .

[3]  Tejavathu Ramesh,et al.  Type-2 fuzzy logic control based MRAS speed estimator for speed sensorless direct torque and flux control of an induction motor drive. , 2015, ISA transactions.

[4]  Longya Xu,et al.  Design and implementation of a new sliding-mode observer for speed-sensorless control of induction machine , 2002, IEEE Trans. Ind. Electron..

[5]  Peng Shi,et al.  Deadbeat Dissipative FIR Filtering , 2016, IEEE Transactions on Circuits and Systems I: Regular Papers.

[6]  Chandan Chakraborty,et al.  A New Formulation of Reactive-Power-Based Model Reference Adaptive System for Sensorless Induction Motor Drive , 2015, IEEE Transactions on Industrial Electronics.

[7]  Yoichi Hori,et al.  An Adaptive Speed Sensorless Induction Motor Drive With Artificial Neural Network for Stability Enhancement , 2012, IEEE Transactions on Industrial Informatics.

[8]  Abdelouahed Tajer,et al.  Luenberger observer based sensorless Indirect FOC with stator resistance adaptation , 2014, 2014 Second World Conference on Complex Systems (WCCS).

[10]  J. Luomi,et al.  Flux observer enhanced with low-frequency signal injection allowing sensorless zero-frequency operation of induction motors , 2005, IEEE Transactions on Industry Applications.

[11]  Damian Giaouris,et al.  MRAS Sensorless Vector Control of an Induction Motor Using New Sliding-Mode and Fuzzy-Logic Adaptation Mechanisms , 2010, IEEE Transactions on Energy Conversion.

[12]  Erik Etien,et al.  Convergence analysis of back-EMF MRAS observers used in sensorless control of induction motor drives , 2015, Math. Comput. Simul..

[13]  Damian Giaouris,et al.  Sensorless Control of Induction Motor Drives at Very Low and Zero Speeds Using Neural Network Flux Observers , 2009, IEEE Transactions on Industrial Electronics.

[14]  Abdesslam Lokriti,et al.  Induction motor speed drive improvement using fuzzy IP-self-tuning controller. A real time implementation. , 2013, ISA transactions.

[15]  Abdelaziz Hamzaoui,et al.  Implementation of a new fuzzy vector control of induction motor. , 2014, ISA transactions.

[16]  Juntao Fei,et al.  Adaptive sliding mode control of dynamic system using RBF neural network , 2012 .

[17]  Teresa Orlowska-Kowalska,et al.  Improved MRAS‐type speed estimator for the sensorless induction motor drive , 2007 .

[18]  Lijie Wang,et al.  Adaptive Fuzzy Control of Nonlinear Systems With Unmodeled Dynamics and Input Saturation Using Small-Gain Approach , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[19]  Werner Leonhard,et al.  Control of Electrical Drives , 1990 .

[20]  Abdelouahed Tajer,et al.  Fuzzy sliding mode observer based sensorless Indirect FOC for IM drives , 2015, 2015 Third World Conference on Complex Systems (WCCS).

[21]  Murat Barut,et al.  Sensorless‐estimation of induction motors in wide speed range , 2007 .

[22]  Mondher Farza,et al.  High gain observer based on-line rotor and stator resistances estimation for IMs , 2010, 2010 IEEE International Conference on Control Applications.

[23]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[24]  Juntao Fei,et al.  Adaptive control of MEMS gyroscope using global fast terminal sliding mode control and fuzzy-neural-network , 2014 .

[25]  Czeslaw T. Kowalski,et al.  Speed sensorless DTC control of the induction motor using FPGA implementation , 2010 .

[26]  Yassine Koubaa,et al.  MRAS state estimator for speed sensorless ISFOC induction motor drives with Luenberger load torque estimation. , 2016, ISA transactions.

[27]  Mansour Ojaghi,et al.  Full-order Luenberger observer based on fuzzy-logic control for sensorless field-oriented control of a single-sided linear induction motor. , 2016, ISA transactions.

[28]  Adriano Fagiolini,et al.  Convergence Analysis of Extended Kalman Filter for Sensorless Control of Induction Motor , 2015, IEEE Transactions on Industrial Electronics.

[29]  Grzegorz Tarchala,et al.  Performance analysis of the sliding‐mode speed observer with magnetizing reactance estimation for the sensorless induction motor drive , 2011 .

[30]  Zakaria Boulghasoul,et al.  Intelligent Control for Torque Ripple Minimization in Combined Vector and Direct Controls for High Performance of IM Drive , 2012 .

[31]  Yoichi Hori,et al.  Model Reference Adaptive Controller-Based Rotor Resistance and Speed Estimation Techniques for Vector Controlled Induction Motor Drive Utilizing Reactive Power , 2008, IEEE Transactions on Industrial Electronics.

[32]  Abdelhadi Elbacha,et al.  Adaptive-Predictive Controller based on Continuous-Time Poisson-Laguerre Models for Induction Motor Speed Control Improvement , 2014 .

[33]  Myo-Taeg Lim,et al.  Unbiased Finite-Memory Digital Phase-Locked Loop , 2016, IEEE Transactions on Circuits and Systems II: Express Briefs.

[34]  Jian Zhou,et al.  Robust Adaptive Control of MEMS Triaxial Gyroscope Using Fuzzy Compensator , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[35]  Veran V. Vasic,et al.  A stator resistance estimation scheme for speed sensorless rotor flux oriented induction motor drives , 2003 .

[36]  Dylan Dah-Chuan Lu,et al.  A Speed-Sensorless FS-PTC of Induction Motors Using Extended Kalman Filters , 2015, IEEE Transactions on Industrial Electronics.

[37]  Bimal K. Bose,et al.  Modern Power Electronics and AC Drives , 2001 .

[38]  Ligang Wu,et al.  Dynamic Output-Feedback Dissipative Control for T–S Fuzzy Systems With Time-Varying Input Delay and Output Constraints , 2017, IEEE Transactions on Fuzzy Systems.