Identification of switched reluctance machine using fuzzy model

[1]  A. Brouri,et al.  Speed control of Switched Reluctance Machine using fuzzy controller and neural network , 2022, 2022 International Conference on Intelligent Systems and Computer Vision (ISCV).

[2]  A. Brouri Wiener–Hammerstein nonlinear system identification using spectral analysis , 2022, International Journal of Robust and Nonlinear Control.

[3]  A. Brouri,et al.  Identification of switched reluctance machine inductance using artificial neuronal network , 2022, 2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET).

[4]  A. Brouri,et al.  Torque Control of Switched Reluctance Motor Using ANN-PID Controller , 2022, 2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET).

[5]  Eric Duckler Kenmoe Fankem,et al.  Chaotic dynamic behavior of switched reluctance motor taking into account of magnetic saturation effects , 2021, International Journal of System Assurance Engineering and Management.

[6]  Pandu R. Vundavilli,et al.  Design and development of fuzzy logic-based expert system for forward and reverse mappings in resin bonded sand systems , 2021, Int. J. Syst. Assur. Eng. Manag..

[7]  F. Giri,et al.  Identification of Hammerstein–Wiener models with hysteresis front nonlinearities , 2021, Int. J. Control.

[8]  Amrita,et al.  Priority-wise Test Case Allocation using Fuzzy Logic , 2021, International Journal of System Assurance Engineering and Management.

[9]  A. Brouri,et al.  Identification of nonlinear system composed of parallel coupling of Wiener and Hammerstein models , 2021, Asian Journal of Control.

[10]  Garima Goswami,et al.  A design analysis and implementation of PI, PID and fuzzy supervised shunt APF at nonlinear load application to improve power quality and system reliability , 2021, International Journal of System Assurance Engineering and Management.

[11]  Sumit Kumar,et al.  Computation of Performance Parameters for Three-Phase SEIG Using Genetic Algorithm , 2021, 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence).

[12]  Ashwani Kumar,et al.  Enhancement of system performance using STATCOM as dynamic compensator with squirrel cage induction generator (SCIG) based microgrid , 2021 .

[13]  A. Tounzi,et al.  Modelling and identification of switched reluctance machine inductance , 2020, Australian Journal of Electrical and Electronics Engineering.

[14]  Eric Duckler Kenmoe Fankem,et al.  A New Rotor Shape Design of 6/2 Switched Reluctance Motor: Comparative Analysis of its Chaotic Behavior with Other Structures , 2020 .

[15]  Bo Chen,et al.  Robust hierarchical identification of Wiener systems in the presence of dynamic disturbances , 2020, J. Frankl. Inst..

[16]  P. Senthil Kumar Intuitionistic fuzzy zero point method for solving type-2 intuitionistic fuzzy transportation problem , 2020, International Journal of Operational Research.

[17]  P. Senthil Kumar Algorithms for solving the optimization problems using fuzzy and intuitionistic fuzzy set , 2020, Int. J. Syst. Assur. Eng. Manag..

[18]  P. Senthil Kumar Developing a New Approach to Solve Solid Assignment Problems Under Intuitionistic Fuzzy Environment , 2020, Int. J. Fuzzy Syst. Appl..

[19]  A. Brouri,et al.  Identification of nonlinear systems having discontinuous nonlinearity , 2019, Int. J. Model. Identif. Control..

[20]  Vicenç Puig,et al.  Mobile robot visual navigation based on fuzzy logic and optical flow approaches , 2019, International Journal of System Assurance Engineering and Management.

[21]  Said Benaggoune,et al.  Super-twisting sliding mode control for brushless doubly fed induction generator based on WECS , 2019, International Journal of System Assurance Engineering and Management.

[22]  Ismail Boumhidi,et al.  Sliding mode controller based on type-2 fuzzy logic PID for a variable speed wind turbine , 2019, Int. J. Syst. Assur. Eng. Manag..

[23]  P. Senthil Kumar Intuitionistic fuzzy solid assignment problems: a software-based approach , 2019, Int. J. Syst. Assur. Eng. Manag..

[24]  P. Senthil Kumar,et al.  PSK Method for Solving Intuitionistic Fuzzy Solid Transportation Problems , 2018, Int. J. Fuzzy Syst. Appl..

[25]  Ali Emadi,et al.  Comparison of Experimental Methods for Electromagnetic Characterization of Switched Reluctance Motors , 2018, 2018 XIII International Conference on Electrical Machines (ICEM).

[26]  Gerardo Espinosa-Pérez,et al.  On‐line estimation of switched reluctance motor parameters , 2018 .

[27]  Adson Bezerra Moreira,et al.  Automatic Characterization System of Switched Reluctance Machines and Nonlinear Modeling by Interpolation Using Smoothing Splines , 2018, IEEE Access.

[28]  Laila Kadi,et al.  Numerical Modeling of a Nonlinear Four-Phase Switched Reluctance Machine , 2017, 2017 International Renewable and Sustainable Energy Conference (IRSEC).

[29]  Qi Xiong,et al.  Correlation analysis method based SISO neuro-fuzzy Wiener model , 2017 .

[30]  Laila Kadi,et al.  Frequency identification of Hammerstein-Wiener systems with backlash input nonlinearity , 2017 .

[31]  Miklós Kuczmann,et al.  Design and control for torque ripple reduction of a 3-phase switched reluctance motor , 2017, Comput. Math. Appl..

[32]  Arabinda Das,et al.  The Efficacy of Generator Protection under Sudden Loss of Excitation using Offset-type MHO-relay , 2017 .

[33]  P. Senthil Kumar A Simple Method for Solving Type-2 and Type-4 Fuzzy Transportation Problems , 2016, Int. J. Fuzzy Log. Intell. Syst..

[34]  P. Senthil Kumar,et al.  Computationally simple approach for solving fully intuitionistic fuzzy real life transportation problems , 2016, Int. J. Syst. Assur. Eng. Manag..

[35]  P. Senthil Kumar PSK Method for Solving Type-1 and Type-3 Fuzzy Transportation Problems , 2016, Int. J. Fuzzy Syst. Appl..

[36]  Shiv Prasad Yadav,et al.  A new approach for solving intuitionistic fuzzy transportation problem of type-2 , 2016, Ann. Oper. Res..

[37]  Fouad Giri,et al.  Combined frequency-prediction error identification approach for Wiener systems with backlash and backlash-inverse operators , 2014, Autom..

[38]  M. Bahri,et al.  Torque ripple minimization in switched reluctance motor using the fuzzy logic control technique , 2014, Int. J. Syst. Assur. Eng. Manag..

[39]  Peng Zhang,et al.  An Accurate Inductance Profile Measurement Technique for Switched Reluctance Machines , 2010, IEEE Transactions on Industrial Electronics.

[40]  Musa H. Asyali,et al.  Nonlinear system identification via Laguerre network based fuzzy systems , 2009, Fuzzy Sets Syst..

[41]  Oguz Ustun,et al.  A nonlinear full model of switched reluctance motor with artificial neural network , 2009 .

[42]  Paulo J. Costa Branco,et al.  Obtaining the magnetic characteristics of an 8/6 switched reluctance machine: from FEM analysis to the experimental tests , 2005, IEEE Transactions on Industrial Electronics.

[43]  J. Clare,et al.  Control of a switched reluctance generator for variable-speed wind energy applications , 2005, IEEE Transactions on Energy Conversion.

[44]  Ali Emadi,et al.  Handbook of Automotive Power Electronics and Motor Drives , 2005 .

[45]  Dong-Seok Hyun,et al.  Modeling of switched reluctance motor using Fourier series for performance analysis , 2003 .

[46]  David A. Torrey,et al.  Switched reluctance generators and their control , 2002, IEEE Trans. Ind. Electron..

[47]  Abdelmounaïm Tounzi,et al.  A non linear analytical model of switched reluctance machines , 2002 .

[48]  R. Krishnan,et al.  Switched reluctance motor drives : modeling, simulation, analysis, design, and applications , 2001 .

[49]  János Abonyi,et al.  Identification and Control of Nonlinear Systems Using Fuzzy Hammerstein Models , 2000 .

[50]  Ferenc Szeifert,et al.  Incorporating prior knowledge in fuzzy model identification , 2000, Int. J. Syst. Sci..

[51]  Jawad Faiz,et al.  A novel switched reluctance motor with multiple teeth per stator pole and comparison of such motors , 1995 .

[52]  Timothy J. E. Miller,et al.  Switched Reluctance Motors and Their Control , 1993 .

[53]  S. Vukosavic,et al.  SRM inverter topologies: a comparative evaluation , 1990, Conference Record of the 1990 IEEE Industry Applications Society Annual Meeting.

[54]  Ankit Goel,et al.  Performance Evaluation of SEIG Under Unbalanced Load Operations Using Genetic Algorithm , 2021, Communication and Intelligent Systems.

[55]  Salim Sbaa,et al.  Electromagnetic characteristics correlated with the excitation current and the rotor position in the SRM , 2017, Int. J. Syst. Assur. Eng. Manag..

[56]  M. T. Benchouia,et al.  Static and dynamic analysis of non-linear magnetic characteristics in switched reluctance motors based on circuit-coupled time stepping finite element method , 2017, Int. J. Syst. Assur. Eng. Manag..

[57]  Marina Schroder,et al.  Electronic Control Of Switched Reluctance Machines , 2016 .

[58]  F. Giri,et al.  FREQUENCY IDENTIFICATION OF HAMMERSTEIN-WIENER SYSTEMS WITH PIECEWISE AFFINE INPUT NONLINEARITY , 2014 .

[59]  P. Senthil Kumar A Method For Finding An Optimal Solution Of An Assignment Problem Under Mixed Intuitionistic Fuzzy Environment , 2014 .

[60]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .

[61]  F. Giri,et al.  IDENTIFICATION OF HAMMERSTEIN-WIENER SYSTEMS WITH BACKLASH INPUT NONLINEARITY BORDERED BY STRAIGHT LINES , 2014 .

[62]  S. Suresh Kumar,et al.  Nonlinear Modeling of a Switched Reluctance Motor using LSSVM - ABC , 2014 .

[63]  Fouad Giri,et al.  Frequency identification of nonparametric Wiener systems containing backlash nonlinearities , 2013, Autom..

[64]  R. Liutkevi čius,et al.  Fuzzy Hammerstein Model of Nonlinear Plant , 2008 .

[65]  Evon M. O. Abu-Taieh,et al.  Comparative Study , 2020, Definitions.