Identification of switched reluctance machine using fuzzy model
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[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.