___

• Kiyota K, Kakishima T, Chiba A. Comparison of test result and design stage prediction of switched reluctance motor competitive with 60-kW rare-earth PM motor. IEEE T Ind Electron 2014; 61: 5712-5721.
• Yang Z, Shang F, Brown IP, Krishnamurthy M. Comparative study of interior permanent magnet, induction, and switched reluctance motor drives for EV and HEV applications. IEEE T Transp Electrific 2015; 1: 245-254.
• Huang HN, Hu KW, Wu YW, Jong TL, Liaw CM. A current control scheme with back emf cancellation and tracking error adapted commutation shift for switched-reluctance motor drive. IEEE T Ind Electron 2016; 63: 7381-7392.
• Chiba A, Kiyota K, Hoshi N, Takemoto M, Ogasawara S. Development of a rare-earth-free SR motor with high torque density for hybrid vehicles. IEEE T Energy Conver 2015; 30: 175-182.
• Öksüztepe E. In-wheel switched reluctance motor design for electric vehicles by using pareto based multi objective differential evolution algorithm. IEEE T Veh Technol 2017; 66: 4706-4715.
• Bartolo JB, Degano M, Espina J, Gerada C. Design and initial testing of a high-speed 45-kW switched reluctance drive for aerospace application. IEEE T Ind Electron 2017; 64: 988-997.
• Yıldırım M, Polat M, Öksüztepe E, Omaç Z, Yakut O, Eren H, Kaya M, Kürüm H. Designing in-wheel switched reluctance motor for electric vehicles, In: 16th Power Electronics and Motion Control Conference and Exposition (PEMC’14), 21-24 September 2014; Antalya, Turkey: IEEE. pp 793-798.
• Omaç Z, Polat M, Öksüztepe E, Yıldırım M, Yakut O, Eren H, Kaya M, Kürüm H. Design, analysis, and control of in-wheel switched reluctance motor for electric vehicles. Electr Eng 2018; 100: 865-876.
• Xue XD, Cheng KWE, Ng TW, Cheung NC. Multi-objective optimization design of in-wheel switched reluctance motors in electric vehicles. IEEE T Ind Electron 2010; 57: 2980-2987.
• Kurihara N, Bayless J, Sugimoto H, Chiba A. Noise reduction of switched reluctance motor with high number of poles by novel simplified current waveform at low speed and low torque region. IEEE T Ind Appl 2016; 52: 3013-3021.
• Liang X, Li G, Ojeda J, Gabsi M, Ren Z. Comparative study of classical and mutually coupled switched reluctance motors using multiphysics finite-element modeling. IEEE T Ind Electron 2014; 61: 5066-5074.
• Santos dos FLM, Anthonis J, Naclerio F, Gyselinck JJC, Auweraer der HV, Góes LCS. Multiphysics NVH modeling: Simulation of a switched reluctance motor for an electric vehicle. IEEE T Ind Electron 2014; 61: 469-476.
• Peng F, Ye J, Emadi A. A Digital PWM current controller for switched reluctance motor drives. IEEE T Power Electr 2016; 31: 7087–7098.
• Ahmad SS, Narayanan G. Linearized modeling of switched reluctance motor for closed-loop current control. IEEE T Ind Appl 2016; 52: 3146–3158.
• Omaç Z, Kürüm H, Selçuk AH. Design, analysis and control of a switched reluctance motor having 18/12 poles. Fırat U Sci Eng J 2007; 3: 339-346.
• Omaç Z, Kürüm H, Selçuk AH. Digital current control of switched reluctance motor. Int J Electr Power Eng 2011; 5: 54-61.
• Wang SC, Liu YH. A Modified PI-like fuzzy logic controller for switched reluctance motor drives. IEEE T Ind Electron 2011; 58: 1812-1825.
• Wang SY, Tseng CL, Chien SC. Adaptive fuzzy cerebellar model articulation control for switched reluctance motor drive. IET Electr Power Appl 2012; 6: 190–202.
• Bolognani S, Zigliotto M. Fuzzy logic control of a switched reluctance motor. IEEE T Ind Appl 1996; 32: 814-821.
• Tseng CL, Wang SY, Chien SC, Chang CY. Development of a self-tuning TSK-fuzzy speed control strategy for switched reluctance motor. IEEE T Power Electron 2012; 27: 2141-2152.
• Chen H, Gua JJ. Switched reluctance motor drive with external rotor for fan in air conditioner. IEEE/ASME T Mechatronics 2013; 18: 1448-1458.
• Doğan M, Dursun M. Application of speed control of permanent magnet synchronous machine with PID and fuzzy logic controller. Energy Sci Res 2012; 28: 931-936.
• Dursun M, Boz AF, Karabacak M. Sensorless control application of PMSM with a novel adaptation mechanism. Neural Comput Applic 2018; 29: 87-103.
• Dursun M, Boz AF, Kale M, Karabacak M. Sensorless speed control of permanent magnet synchronous motor with hybrid speed controller using model reference adaptive system. J Advanced Tech Sci 2014; 3: 24-37.
• Premkumar K, Manikandan BV. Adaptive neuro-fuzzy inference system based speed controller for brushless DC motor. Neurocomputing 2014; 138: 260-270.
• Premkumar K, Manikandan BV, Kumar CA. Antlion algorithm optimized fuzzy PID supervised on-line recurrent fuzzy neural network based controller for brushless DC motor. Electr Power Comp Syst 2017; 45: 2304-2317.
• Premkumar K, Manikandan BV. Bat algorithm optimized fuzzy PD based speed controller for brushless direct current motor. Eng Science Tech 2016; 19: 818-840.
• Prabu MJ, Poongodi P, Premkumar K. Fuzzy supervised online coactive neuro-fuzzy inference system-based rotor position control of brushless DC motor. IET Power Electron 2016; 9: 2229-2239.
• Premkumar K, Manikandan BV. Fuzzy PID supervised online ANFIS based speed controller for brushless DC motor. Neurocomputing 2015; 157: 76-90.
• Sivarani TS, Jawhar SJ, Kumar CA, Premkumar K. Novel bacterial foraging-based ANFIS for speed control of matrix converter-fed industrial BLDC motors operated under low speed and high torque. Neural Comput Applic 2018; 29: 1411-1434.
• Premkumar K, Manikandan BV. Speed control of brushless DC motor using bat algorithm optimized adaptive neuro-fuzzy inference system. Appl Soft Comput 2015; 32: 403-419.
• Zhong R, Xu Y, Cao Y, Guo X, Hua W, Xu S, Sun W. Accurate model of switched reluctance motor based on indirect measurement method and least square support vector machine. IET Electr Power Appl 2016; 10: 916-922.
• Mudi RK, Pal NR. A robust self-tuning scheme for PI- and PD-type fuzzy controllers. IEEE T Fuzzy Syst 1999; 7: 2-16.