Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/148404
Title: Simulation and modelling of switched reluctance motor
Researcher: Srivastava, Kiran
Guide(s): Singh, B K
Keywords: Fuzzy Logic, Switched Reluctance Motor, Stator Pole Arc, Rotor Pole Arc Finite Element Method, PI and PD controller
University: Uttarakhand Technical University
Completed Date: 5-9-2016
Abstract: This thesis presents a design method for a Switched Reluctance (SR) motor to optimize torque production for two types of 3 phase 6 by4 poles SRM and 4 phase 8 by 6 poles SRM designs. SR motors require precise control to optimize the operating efficiency controllers are proposed and built to operate the switched reluctance motor, describing theory of Fuzzy logic and simulations showing the better performance of motor. newlineThe primary objectives of this thesis are to investigate the developed torque optimization for switched reluctance (SR) motors as a function of various dimensions e.g. pole arc/pole pitch variation, stator shape variation and rotor shape variation. This investigation is achieved through the simulation using Finite Element Method (FEM) MATLAB SIMULINK. newlineThe controllers are designed and built to carry out the testing of SRM. The proposed control scheme has been applied on a 4 phase 8 by 6 SRM. The parameters of the speed PI controller are adjusted according to the load torque and rotor speed. The analysis of the SRM control system is conducted using a small displacement version of the non linear electromagnetic torque model. The efficiency will be high as torque ripples are reduced. Results shows controller provides high performance and precise position control of the SRM drive. newlineThe FLC performs on PI like (Proportional-Integral) control strategy. The performance of the drive system is evaluated through digital simulations through the MATLAB SIMULINK program. This choice is taken because this software has a good tool box and performance to undertake the task. The simulated SRM is three phase 6 by 4 poles and four phase 8 by 6 poles. The torque created by finite element method. The dynamic response of speed for an optimum design SRM is much improved compared to non-optimum (base) design. Fuzzy Logic Control is employed and generated current reference variations, based on speed error and its change .The objective of the FLC to achieve a good performance and accuracy.
Pagination: 140p.
URI: http://hdl.handle.net/10603/148404
Appears in Departments:Department of Electrical Engineering

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