Investigation and analysis of high performance green energy induction motor drive with intelligent estimator

This paper attempts to enhance the performance of a green energy induction motor drive. The electronic power converters become indispensable part of the renewable energy systems (RES). The solar photovoltaic (PV) system is efficiently operated with artificial neural network (ANN) based maximum power point tracking (MPPT) algorithm. The inverter topologies for the green drive scheme are analyzed. To improve the drive performance a reduced switch multilevel inverter (RSMLI) is employed. As indirect field oriented control (IFOC) is used, the drive demands on-line estimation of rotor resistance. A neural learning model reference adaptive scheme (NL-MRAS) based rotor resistance estimator is found to exhibit good dynamic performance. This work also investigates the performance of the green drive with an intelligent estimator. The performance enhancement of the green energy drive obtained by ANN based MPPT for the PV system, a reduced switch MLI and an intelligent estimator is presented.

[1]  Md. Asiful Islam,et al.  Neural network based maximum power point tracking of photovoltaic arrays , 2011 .

[2]  F. Benchabane,et al.  Induction motors variable speed drives diagnosis through rotor resistance monitoring , 2012 .

[3]  Yassine Koubaa.  Asynchronous machine parameters estimation using recursive method , 2006, Simul. Model. Pract. Theory.

[4]  Ahmet Teke,et al.  Investigation of multilevel multifunctional grid connected inverter topologies and control strategies used in photovoltaic systems , 2015 .

[5]  Jean-Claude Vannier,et al.  Flying capacitor multilevel inverters and DTC motor drive applications , 2002, IEEE Trans. Ind. Electron..

[6]  Suman Maiti,et al.  A new instantaneous reactive power based MRAS for sensorless induction motor drive , 2010, Simul. Model. Pract. Theory.

[7]  A. Chitra,et al.  Modeling and experimental validation of solar PV system for cascade H-bridge multilevel inverter , 2013, 2013 International Conference on Power, Energy and Control (ICPEC).

[8]  Kashem M. Muttaqi,et al.  Solar PV and Battery Storage Integration using a New Configuration of a Three-Level NPC Inverter With Advanced Control Strategy , 2014, IEEE Transactions on Energy Conversion.

[9]  S. Himavathi,et al.  Reduced switch multilevel inverter for performance enhancement of induction motor drive with intelligent rotor resistance estimator , 2015 .

[10]  A. S. Bharadwaj,et al.  A review of parameter sensitivity and adaptation in indirect vector controlled induction motor drive systems , 1990, 21st Annual IEEE Conference on Power Electronics Specialists.

[11]  Yi-Hua Liu,et al.  Neural-network-based maximum power point tracking methods for photovoltaic systems operating under fast changing environments , 2013 .

[12]  Jubaer Ahmed,et al.  The application of soft computing methods for MPPT of PV system: A technological and status review , 2013 .

[13]  S. Albert Alexander,et al.  Harmonic minimization of a solar fed cascaded H Bridge inverter using Artificial Neural Network , 2013, 2013 International Conference on Energy Efficient Technologies for Sustainability.

[14]  Salah Kamel,et al.  Sensorless control of induction motors using multi-level converters , 2012 .

[15]  Rihab Mahjoub Essefi,et al.  Maximum power point tracking control technique for photovoltaic systems using neural networks , 2014, 2014 5th International Renewable Energy Congress (IREC).

[16]  Razieh Khanaki,et al.  Comparison of ANN and P&O MPPT methods for PV applications under changing solar irradiation , 2013, 2013 IEEE Conference on Clean Energy and Technology (CEAT).

[17]  V. K. Jayakrishnan,et al.  Performance analysis of MLI fed induction motor drive with IFOC speed control , 2013, 2013 Annual IEEE India Conference (INDICON).

[18]  Haitham Abu-Rub,et al.  A Nine-Level Inverter Topology for Medium-Voltage Induction Motor Drive With Open-End Stator Winding , 2013, IEEE Transactions on Industrial Electronics.

[19]  M. Kaliamoorthy,et al.  Single-phase fifteen-level grid-connected inverter for photovoltaic system with evolutionary programming based MPPT algorithm , 2014 .

[20]  B. Karanayil,et al.  Online Stator and Rotor Resistance Estimation Scheme Using Artificial Neural Networks for Vector Controlled Speed Sensorless Induction Motor Drive , 2007, IEEE Transactions on Industrial Electronics.

[21]  M. P. Kazmierkowski,et al.  High-Performance Motor Drives , 2011, IEEE Industrial Electronics Magazine.

[22]  Mohammad Hassan Moradi,et al.  Classification and comparison of maximum power point tracking techniques for photovoltaic system: A review , 2013 .

[23]  S. Himavathi,et al.  A modified neural learning algorithm for online rotor resistance estimation in vector controlled induction motor drives , 2015 .

[24]  Godpromesse Kenné,et al.  An improved rotor resistance estimator for induction motors adaptive control , 2011 .

[25]  Djalel Dib,et al.  Performance analysis of DFIM fed by matrix converter and multi level inverter , 2013 .

[26]  B. Azoui,et al.  Multicarrier wave dual reference very low frequency PWM control of a nine levels NPC multi-string three phase inverter topology for photovoltaic system connected to a medium electric grid , 2014, 2014 49th International Universities Power Engineering Conference (UPEC).

[27]  Georgios Adamidis,et al.  A new approach for SVPWM of a three level inverter-induction motor fed-neutral point balancing algorithm , 2011, International Aegean Conference on Electrical Machines and Power Electronics and Electromotion, Joint Conference.

[28]  Matthew W. Dunnigan,et al.  A new method of rotor resistance estimation for vector-controlled induction machines , 1997, IEEE Trans. Ind. Electron..

[29]  R.D. Lorenz,et al.  A simplified approach to continuous, online tuning of field oriented induction machine drives , 1988, Conference Record of the 1988 IEEE Industry Applications Society Annual Meeting.

[30]  Hamid A. Toliyat,et al.  Parameter estimation algorithm using spectral analysis for vector controlled induction motor drives , 1993, ISIE '93 - Budapest: IEEE International Symposium on Industrial Electronics Conference Proceedings.

[31]  Jean-Claude Vannier,et al.  An Online Simplified Rotor Resistance Estimator for Induction Motors , 2010, IEEE Transactions on Control Systems Technology.