DTC CONTROL BASED ARTIFICIAL NEURAL NETWORK FOR HIGH PERFORMANCE PMSM DRIVE

In this paper, we propose an approach intelligent artificial technique for improvement of Direct Torque Control (DTC) of Permanent Magnet Synchronous Motor such as artificial neural network (ANN), applied in switching select voltage vector and estimator flux and torque. This intelligent technique was used to replace, on the one hand the conventional comparators and the switching table in order to reduce torque ripple, flux and stator current. The effect of the speed estimation error is analyzed, and the stability proof of the control system is also proved. The simulations results are presented to show the validity and efficiency of the proposed system.

[1]  Karel Jezernik,et al.  Low-speed sensorless control of induction Machine , 2006, IEEE Transactions on Industrial Electronics.

[2]  Alfred Rufer,et al.  A three-phase multilevel converter for high-power induction motors , 1998 .

[3]  B Bossoufi,et al.  Performance analysis of Direct Torque Control (DTC) for synchronous machine permanent magnet (PMSM) , 2010, 2010 IEEE 16th International Symposium for Design and Technology in Electronic Packaging (SIITME).

[4]  H. Benalla,et al.  Direct Torque Control for Induction Motor Using Fuzzy Logic , 2006 .

[5]  Bruno Allard,et al.  Implementation of Hybrid Control for Motor Drives , 2007, IEEE Transactions on Industrial Electronics.

[6]  Rajesh Kumar,et al.  Artificial neural network based direct Torque Control of Induction Motor drives , 2007 .

[7]  Kouhei Ohnishi,et al.  Improvement of Performances in Bilateral Teleoperation by Using FPGA , 2007, IEEE Transactions on Industrial Electronics.

[8]  Chia-Feng Juang,et al.  Water bath temperature control by a recurrent fuzzy controller and its FPGA implementation , 2006, IEEE Transactions on Industrial Electronics.

[9]  Ahmed Lagrioui,et al.  Matlab & simulink simulation with FPGA-based implementation sliding mode control of a permanent magnet synchronous machine drive , 2011 .

[10]  Thierry Meynard,et al.  Implementation of a Peak-Current-Control Algorithm Within a Field-Programmable Gate Array , 2007, IEEE Transactions on Industrial Electronics.

[11]  Guillaume Gateau,et al.  Digital Sliding-Mode Observer Implementation Using FPGA , 2007, IEEE Transactions on Industrial Electronics.

[12]  Thierry Meynard,et al.  Switching frequency imposition and ripple reduction in DTC drives by using a multilevel converter , 2002 .

[13]  Silviu Ionita,et al.  INDIRECT SLIDING MODE CONTROL OF A PERMANENT MAGNET SYNCHRONOUS MACHINE: FPGA-BASED IMPLEMENTATION WITH MATLAB & SIMULINK SIMULATION , 2011 .

[14]  Pramod Agarwal,et al.  Programmable Logic Devices for Motion Control—A Review , 2007, IEEE Transactions on Industrial Electronics.

[15]  H. Benalla,et al.  DIRECT TORQUE CONTROL FOR INDUCTION MOTOR USING INTELLIGENT TECHNIQUES , 2007 .

[16]  Wahyu Kusuma,et al.  Journal of Theoretical and Applied Information Technology , 2012 .

[17]  Faa-Jeng Lin,et al.  Robust Fuzzy Neural Network Sliding-Mode Control for Two-Axis Motion Control System , 2006, IEEE Transactions on Industrial Electronics.

[18]  Bimal K. Bose,et al.  Power Electronics and Motor Drives: Advances and Trends , 2006 .

[19]  Frede Blaabjerg,et al.  A simple direct-torque neuro-fuzzy control of PWM-inverter-fed induction motor drive , 2000, IEEE Trans. Ind. Electron..

[20]  Nik Rumzi Nik Idris,et al.  Direct torque control of induction machines with constant switching frequency and reduced torque ripple , 2004, IEEE Transactions on Industrial Electronics.

[21]  Hassane Mahmoudi,et al.  Real time implementation of a sensorless speed control of induction motor using DTFC strategy , 2009, 2009 International Conference on Multimedia Computing and Systems.

[22]  Andrei Dinu.  FPGA neural controller for three-phase sensorless induction motor drive systems. , 2000 .

[23]  R.D. Lorenz,et al.  Stator and rotor flux based deadbeat direct torque control of induction machines , 2001, Conference Record of the 2001 IEEE Industry Applications Conference. 36th IAS Annual Meeting (Cat. No.01CH37248).

[24]  AHMED LAGRIOUI,et al.  of Little Lion Scientific R & D , Islamabad PAKISTAN THE OPTIMAL DIRECT TORQUE CONTROL OF A PMSM DRIVE : FPGA-BASED IMPLEMENTATION WITH MATLAB & SIMULINK SIMULATION , 2011 .

[25]  A. ABBOU,et al.  Performance of a Sensorless Speed Control for Induction Motor Using DTFC strategy and Intelligent Techniques , 2009 .

[26]  Antoni Arias,et al.  Novel Fuzzy Adaptive Sensorless Induction Motor Drive , 2006, IEEE Transactions on Industrial Electronics.