Modeling of Switched Reluctance Motor Drive System using Matlab/Simulink for Performance Analysis of Current Controllers

Ramasamy, Gobbi; Rajandran, R. Vejian; Sahoo, Niranjan

doi:10.1109/peds.2005.1619814

Cited by 10 publications

(8 citation statements)

References 8 publications

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“…Defuzzification process has been executed by using equation (8). Output has been process properly by postprocessing block to convert it in required range.…”

Section: (Iii) Defuzzifiermentioning

confidence: 99%

“…In fact, excitations of the SRM phases need to be properly synchronized with the rotor position for effective control of speed, torque and torque pulsation. But it needs a mechanism to detect rotor position for correct operation [5], [8]. An encoder, resolver, or Hall shaft position sensors are usually employed to determine the rotor position.…”

Section: Introductionmentioning

confidence: 99%

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Sensorless Control of Switched Reluctance Motor Drive with Fuzzy Logic Based Rotor Position Estimation

Gupta¹,

Kumar²,

Bishnoi³

2010

IJCA

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This paper describes an accurate rotor position estimation, which is very important for high performance operation of Switched Reluctance Motor (SRM). Earlier, a rotor position sensor has been used for sensing the rotor position. The position sensor used in SRM drives have the disadvantages of additional cost, electrical connections, mechanical alignment problems, less suitability to space restricted applications and significant disadvantage of being inherent source of unreliability. These bottlenecks have been motivated for the development of several sensorless techniques in the recent years. Here, a proposed sensorless scheme based on fuzzy system is used to overcome the disadvantages of sensor scheme. The rotor position or angle can be estimated by using the unique relationship between flux linkage and phase current in term of fuzzy rule base. Both simulation and experiment results on a Digital Signal Processor (DSP) based real time drive are presented to show the effectiveness of this scheme. The proposed scheme is provided to demonstrate the validity for implementing it to real world problems.

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“…Defuzzification process has been executed by using equation (8). Output has been process properly by postprocessing block to convert it in required range.…”

Section: (Iii) Defuzzifiermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sensorless Control of Switched Reluctance Motor Drive with Fuzzy Logic Based Rotor Position Estimation

Gupta¹,

Kumar²,

Bishnoi³

2010

IJCA

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“…Research in this field will further reduce the cost and complexity in the solar generating system and in near future, the dependence on fossil fuel for power generation will be reduced 2,3 . Renewable based power generation with power processing unit leads the significant reduction of cost of solar panels in the recent years have made the small industries to set up their own micro power generation unit for industrial needs 4 . PV power generation is processed by power electronics unit to improve input power for which a boost DC to DC converter is used traditionally.…”

Section: Introductionmentioning

confidence: 99%

Investigation on Solar PV generation and design of switched reluctance motor for Smart Agriculture actuation system

Muniraj¹,

Arulmozhiyal²

2018

Braz. arch. biol. technol.

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This paper presents standalone solar photovoltaic (PV) powered fed actuation system employing a switched reluctance motor (SRM) particularly used in remote and rural areas. The converter efficiency is achieved by changing ON and OFF state of solar PV drive. An electronic commutation drives SRM drive with achieved by position hall sensor and encoder. The modified boost converter is proposed in single stage to conversion of PV fed power and inverter with reduced switching losses. Further proposed system is designed to reduce cost of system using simple design and control. This paper also proposes the speed control strategy of SRM motor with an artificial intelligent based Adaptive neuro fuzzy inference (ANFIS) system to achieve desired motor velocity as stated in reference velocity in farm lands. The system proposed is subjected to analysis the performance of drive and controller in both load and no-load conditions. Initially, a simulation model is modeled in MATLAB-SIMULINK with corresponding environments. The experimental setup for proposed system is developed using FPGA based SPEEDGOAT real time target machine. The simulation and hardware results suggest feasibility of proposed system in real time.

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“…Torque generation in a SRM is based on variations of the magnetic reluctances. Double Stator Switched Reluctance Machines (DSSRM) have demonstrated higher torque densities compared to the conventional SRMs [1]- [3]. This improvement is a result of a superior magnetic structure that increases the aligned to non-aligned reluctance ratio.…”

Section: Introductionmentioning

confidence: 99%

Adaptive model predictive current control for DSSRM drives

Shamsi

2014

2014 IEEE Transportation Electrification Conference and Expo (ITEC)

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This paper presents a new current control method for Double-Stator Switched Reluctance Motor (DSSRM) Drives. The proposed current controller is based on Model Predictive Control (MPC) strategy. Moreover, an adaptive estimator is incorporated to follow the inductance variations in a DSSRM.After the introduction of the control method, the proposed controller is validated using simulations. Experimental results will be provided to evaluate the performance improvement.

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Modeling of Switched Reluctance Motor Drive System using Matlab/Simulink for Performance Analysis of Current Controllers

Cited by 10 publications

References 8 publications

Sensorless Control of Switched Reluctance Motor Drive with Fuzzy Logic Based Rotor Position Estimation

Sensorless Control of Switched Reluctance Motor Drive with Fuzzy Logic Based Rotor Position Estimation

Investigation on Solar PV generation and design of switched reluctance motor for Smart Agriculture actuation system

Adaptive model predictive current control for DSSRM drives

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