Multilevel Inverter Fed Switched Reluctance Motors (SRMs): 6/4, 8/6 and 10/8 SRM Geometric Types

Farah, Nabil; Talib, M. H. N.; Lazi, Jurifa; Ali, Majed Abo; Ibrahim, Zulkifilie

doi:10.11591/ijpeds.v8.i2.pp584-592

Cited by 7 publications

(5 citation statements)

References 6 publications

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“…If the current rose above the configd value, the switches were turned off. The energy stored in the motor phase winding keeps the current in the same direction until it is depleted [12,19]. The position sensor value determines the command turn-on and turn-off, respectively, and generates the gate pulse for switching the SRM power converter.…”

Section: Converter Topologymentioning

confidence: 99%

A Detailed Comparison of Two Different Switched Reluctance Motor’s Parameters and Dynamic Behaviors by applying PID Control in Matlab Simulink

Gecer

Serteller

Çalik

2023

Balkan Journal of Electrical and Computer Engineering

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The Switched Reluctance Motor (SRM) is one of the oldest types of electric motors. SRMs have high torque fluctuations as they have a salient pole structure. The popularity of Switched Reluctance Motors has increased in recent years due to their simple structure, ruggedness, reliability, as well as being inexpensive to manufacture and having a high torque to mass ratio. However, there are some disadvantages, such as high torque ripple, noise and the need for an advanced control system. So they are not extensively used in industry. This study focused on the torque ripple and the speed control aspects. Here, the two most popular and similar Switched Reluctance Motors with regard to motor size, called the 6/4 and 8/6 SRM, have been compared according to the dynamic behavior of their motor parameters. Also, the converters, loads and given power values are the same for the two motor systems. The motor parameters were controlled via MatLab Simulink software. Although the 6/4 and 8/6 models are identical and have the same power converters systems and position sensors, they show different motor behavior due to their dissimilar magnetic structures.

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Section: Converter Topologymentioning

confidence: 99%

A Detailed Comparison of Two Different Switched Reluctance Motor’s Parameters and Dynamic Behaviors by applying PID Control in Matlab Simulink

Gecer

Serteller

Çalik

2023

Balkan Journal of Electrical and Computer Engineering

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“…By the use the finite-element field calculation such as MotorSolve software with defined parameters, this complex feature can be realized [15]. The SRM characteristic of magnetization considered in the present paper is illustrated in Figure 2(a).…”

Section: Operation Of Three-phase Switched Reluctance Generatormentioning

confidence: 99%

Voltage control of switched reluctance generator using grasshopper optimization algorithm

Bahy

Nada

Elbanna

et al. 2020

IJPEDS

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This paper presents a terminal voltage control approach of a Switched Reluctance Generator (SRG) based wind turbine generating systems. The control process is employed using a closed loop stimulated by the error between the reference voltage and the generator output voltage due to load and wind speed variation. This error feeds the tuned Proportional Integral controller (PI).Tuning of PI controller by conventional analysis methods is difficult by the existence of a significant non-linearity. A novel strategy method is presented here to determine optimum PI controller parameters of voltage control of SRG using Grasshopper Optimization Algorithm (GOA). This proposed approach is a simple and effective algorithm that is able to solve many optimization problems. The simplicity of algorithm provides high quality tuning of optimal PI controller parameters. The integral of time weighted squared error (ITSE) is used as the performance of the proposed GOA-PI controller. The effectiveness of the proposed strategy is tested with the three-phase 12/8 structure SRG. Outcomes indicate the supremacy of GOA over Whale Optimization Algorithm (WOA) and Particle Swarm Optimization (PSO) in terms of control performance measures.

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“…A three-phase voltage from the inverter is fed to the stator windings of the IM, where these voltages can be expressed by the following equations [38]: Using phase transformation principle, the input three-phase voltages are converted into two-phase voltages and expressed in stationary reference frame with respect to the stator as in the following equations,…”

Section: Modelling Of Induction Motor Drive Systemmentioning

confidence: 99%

High frequency signal injection method for sensorless permanent magnet synchronous motor drives

et al. 2020

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Induction motor (IM) drives have received a strong interest from researchers and industry particularly for high-performance AC drives through vector control method. With the advancement in power electronics and digital signal processing (DSP), high capability processors allow the implementation of advanced control techniques for motor drives such as model predictive control (MPC). In this paper, design, analysis and investigation of two different MPC techniques applied to IM drives; the model predictive torque control (MPTC) and model predictive current control (MPCC) are presented. The two techniques are designed in Matlab/Simulink environment and compared in term of operation in different operating conditions. Moreover, a comparison of these techniques with field-oriented control (FOC) and direct torque control (DTC) is conducted based on simulation studies with PI speed controller for all control techniques. Based on the analysis, the MPC techniques demonstrates a better result compared with the FOC and DTC in terms of speed, torque and current responses in transient and steady-state conditions.

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Multilevel Inverter Fed Switched Reluctance Motors (SRMs): 6/4, 8/6 and 10/8 SRM Geometric Types

Cited by 7 publications

References 6 publications

A Detailed Comparison of Two Different Switched Reluctance Motor’s Parameters and Dynamic Behaviors by applying PID Control in Matlab Simulink

A Detailed Comparison of Two Different Switched Reluctance Motor’s Parameters and Dynamic Behaviors by applying PID Control in Matlab Simulink

Voltage control of switched reluctance generator using grasshopper optimization algorithm

High frequency signal injection method for sensorless permanent magnet synchronous motor drives

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