Open Access Open Access  Restricted Access Subscription or Fee Access

Effective Predictive Flux Control for an Induction Motor Drive with an Online Estimation Procedure for Stator Transient Inductance


(*) Corresponding author


Authors' affiliations


DOI: https://doi.org/10.15866/iremos.v11i6.15698

Abstract


This paper focuses on the presentation of an effective predictive flux control (PFC) approach for an induction motor (IM) drive. The finite control set (FCS) principle is used in order to select the inverter voltages and thus there is no need to use the pulse width modulation (PWM) strategy. The proposed control approach uses a cost function formulation in which there is no need for tuning the value of the weighting factor which is inherently present in the classic predictive torque control (PTC) approach, and thus the computational burden is effectively reduced. The proposed PFC approach is derived based on the rotor field orientation principle in which the stator flux components are utilized as control variables instead of utilizing the stator current components as adopted in the classic RFO technique. In order to get better-predicted signals with limited noise content, the stator flux is estimated using an effective flux estimator instead of using the machine voltage model. An effective online identification procedure for the stator transient inductance is proposed and analyzed in a systematic manner, which has led to an improvement in the rotor flux orientation, and thus the robustness of the controller is enhanced. The performance of the drive is tested during the normal speed operation and then during the field weakening operation. The obtained results confirm the validity of the proposed PFC control approach and the effectiveness of the identification procedure in achieving correct and precise rotor field orientation which consequently results in improving the overall dynamic performance of the drive.
Copyright © 2018 Praise Worthy Prize - All rights reserved.

Keywords


Predictive Flux Control; Rotor Field Orientation; Finite Control Set; Online Identification; Stator Transient Inductance; Field Weakening; Stator Flux Estimation

Full Text:

PDF


References


B. Karanayil, M. F. Rahman and C. Grantham, An implementation of a programmable cascaded low-pass filter for a rotor flux synthesizer for an induction motor drive, IEEE Transactions on Power Electronics, vol. 19, no. 2, pp. 257-263, March 2004.

G. Brando, A. Dannier, A. Del Pizzo, R. Rizzo and I. Spina, Generalised look-up table concept for direct torque control in induction drives with multilevel inverters, IET Electric Power Applications, vol. 9, no. 8, pp. 556-567, 9 2015.
https://doi.org/10.1049/iet-epa.2014.0488

D. Casadei, G. Serra, A. Tani, Implementation of a Direct Torque Control Algorithm for Induction Motors Based on Discrete Space Vector Modulation, IEEE Transaction on Power Electronics, vol. 15(Issue 4): 769-777, July 2000.
https://doi.org/10.1109/63.849048

Z. Sorchini and P. T. Krein, Formal Derivation of Direct Torque Control for Induction Machines, IEEE Transactions on Power Electronics, vol. 21, no. 5, pp. 1428-1436, Sept. 2006.
https://doi.org/10.1109/tpel.2006.882086

K. Wang, J. Chiasson, M. Bodson and L. M. Tolbert, An Online Rotor Time Constant Estimator for the Induction Machine, in IEEE Transactions on Control Systems Technology, vol. 15(Issue 2): 339-348, March 2007.
https://doi.org/10.1109/tcst.2006.886445

S. K. Sahoo and T. Bhattacharya, Field Weakening Strategy for a Vector-Controlled Induction Motor Drive Near the Six-Step Mode of Operation, IEEE Transactions on Power Electronics, vol. 31, no. 4, pp. 3043-3051, April 2016.
https://doi.org/10.1109/tpel.2015.2451694

Accetta, F. Alonge, M. Cirrincione, M. Pucci and A. Sferlazza, Feedback Linearizing Control of Induction Motor Considering Magnetic Saturation Effects, IEEE Transactions on Industry Applications, vol. 52, no. 6, pp. 4843-4854, Nov.-Dec. 2016.
https://doi.org/10.1109/tia.2016.2596710

L. Alberti, N. Bianchi and S. Bolognani, Field oriented control of induction motor: A direct analysis using finite element, 2008 34th Annual Conference of IEEE Industrial Electronics, Orlando, FL, 2008, pp. 1206-1209.
https://doi.org/10.1109/iecon.2008.4758126

R. Sepulchre, T. Devos, F. Jadot and F. Malrait, Antiwindup Design for Induction Motor Control in the Field Weakening Domain, IEEE Transactions on Control Systems Technology, vol. 21, no. 1, pp. 52-66, Jan. 2013.
https://doi.org/10.1109/tcst.2011.2173495

R. Kumar, S. Das, P. Syam and A. K. Chattopadhyay, Review on model reference adaptive system for sensorless vector control of induction motor drives, IET Electric Power Applications, vol. 9, no. 7, pp. 496-511, 8 2015.
https://doi.org/10.1049/iet-epa.2014.0220

J. Zhang, J. Chai, X. Sun and H. Lu, On-line parameter estimation for indirect field oriented control of induction machine based on steady state voltage model, IECON 2014-40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, 2014, pp. 769-773.
https://doi.org/10.1109/iecon.2014.7048587

V. Stankovic, E. L. Benedict, V. John and T. A. Lipo, A novel method for measuring induction machine magnetizing inductance, in IEEE Transactions on Industry Applications, vol. 39(Issue 5) : pp. 1257-1263, September-October 2003.
https://doi.org/10.1109/tia.2003.816532

J. Campbell and M. Sumner, Practical sensorless induction motor drive employing an artificial neural network for online parameter adaptation, in IEEE Proceedings-Electric Power Applications, vol. 149(Issue 4): pp. 255-260, July 2002.
https://doi.org/10.1049/ip-epa:20020289

M. J. Duran, J. L. Duran, F. Perez, and J. Fernandez, Induction-motor sensorless vector control with online parameter estimation and overcurrent protection, IEEE Transaction on Industrial Electronics, vol. 53(Issue 1): 154–161, February 2006.
https://doi.org/10.1109/tie.2005.862302

P. Vaclav and P. Blaha, Lyapunov-function-based flux and speed observer for ac induction motor sensorless control and parameters estimation, IEEE Transaction on Industrial Electronics, vol. 53(Issue 1): 138–145, February 2006.
https://doi.org/10.1109/tie.2005.862305

Jul-Ki Seok and Seung-Ki Sul, Optimal flux selection of an induction machine for maximum torque operation in flux-weakening region, IEEE Transactions on Power Electronics, vol. 14, no. 4, pp. 700-708, July 1999.
https://doi.org/10.1109/63.774208

T. Noguchi, S. Kondo, and I. Takahashi, Field-oriented control of an induction motor with robust on-line tuning of its parameters, IEEE Transaction on Industrial Applications, vol. 33(Issue 1): 35–42, January/February 1997.
https://doi.org/10.1109/28.567074

J. L. Zamora and A. Garcia-Cerrada, Online estimation of the stator parameters in an induction motor using only voltage and current measurements, IEEE Transaction on Industry Applications, vol. 36(Issue 3): 805–816, May/June 2000.
https://doi.org/10.1109/28.845056

L. Zhao, J. Huang, J. Chen and M. Ye, A Parallel Speed and Rotor Time Constant Identification Scheme for Indirect Field Oriented Induction Motor Drives, IEEE Transactions on Power Electronics, vol. 31, no. 9, pp. 6494-6503, Sept. 2016.
https://doi.org/10.1109/tpel.2015.2504399

L. A. de S. Riberio, C. B. Jacobina, A. M. N. Lima, and A. C. Oliveira, Real-time estimation of the electric parameters of an induction machine using sinusoidal PWM voltage waveforms, IEEE Transaction on Industry Applications, vol. 36(Issue 3): 743–754, May/June 2000.
https://doi.org/10.1109/28.845049

D. Telford, M. W. Dunnigan, and B. W. Williams, Online identification of induction machine electrical parameters for vector control loop tuning, IEEE Transaction on Industrial Electronics, vol. 50(issue 2): 253–261, April 2003.
https://doi.org/10.1109/tie.2003.809397

M. Cirrincione, M. Pucci, G. Cirrincione, and G.-A. Capolino, Constrained minimization for parameter estimation of induction motors in saturated and unsaturated conditions, IEEE Transaction on Industrial Electronics, vol. 52(Issue 5): 1391–1402, October 2005.
https://doi.org/10.1109/tie.2005.855657

El-Faouri, F., Mohamed, O., Abu Elhaija, W., Comparison of Three-Phase Induction Motor Control Models Incorporating Mutual Flux Saturation Effect, (2017) International Journal on Energy Conversion (IRECON), 5 (5), pp. 135-147.
https://doi.org/10.15866/irecon.v5i5.13871

Essalmi, A., Mahmoudi, H., Bennassar, A., Abbou, A., Zahraoui, Y., Akherraz, M., Real Time Implementation of Sliding Mode Control for Induction Motor Drives Using dSPACE, (2015) International Review of Electrical Engineering (IREE), 10 (1), pp. 36-41.
https://doi.org/10.15866/iree.v10i1.4315

Ramdasi, S., Senthil Kumar, A., Thipse, S., Marathe, N., Development of DTC for Induction Motor Fed with Multilevel Inverter & Improved PWM Control Strategy to Maximise Energy Efficiency in EV/HEV/FCV, (2015) International Review of Electrical Engineering (IREE), 10 (4), pp. 477-491.
https://doi.org/10.15866/iree.v10i4.6240

Achalhi, A., Bezza, M., Belbounaguia, N., Sensorless DTC Drive of Induction Motor Using 3-Level Inverter, (2016) International Review of Automatic Control (IREACO), 9 (4), pp. 227-233.
https://doi.org/10.15866/ireaco.v9i4.9810

Sudheer, H., Kodad, S., Sarvesh, B., Improvements in SVM-DTC of Induction Motor with Fuzzy Logic Controllers Using FPGA, (2017) International Review of Electrical Engineering (IREE), 12 (5), pp. 440-449.
https://doi.org/10.15866/iree.v12i5.12857

Hidouri, N., An Advanced Direct Torque Control Applied to a Fuzzy Controlled Hybrid Photovoltaic-Diesel Pumping System based on PMS Machines, (2015) International Review of Electrical Engineering (IREE), 10 (3), pp. 352-361.
https://doi.org/10.15866/iree.v10i3.5382


Refbacks

  • There are currently no refbacks.



Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize