MATLAB simulation of a multi-level speed control system of a 6/4 SRM using PI controller

Taj, T. A.; Khan, Talha Ahmed; Asif, Muhammad; Ijaz, Imran

doi:10.1109/iccat.2013.6522015

Cited by 2 publications

(2 citation statements)

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“…In Ref. [28], a PI speed controller with inner current control loop is designed for the operation of an SRM, and the best parameters of the PI controller are found manually, whereas in Ref. [29], the direct instantaneous torque control (DITC) is used as the inner loop of SRM speed control to minimize torque ripples.…”

Section: Introductionmentioning

confidence: 99%

Optimal dynamic and steady‐state performance of switched reluctance motor using water cycle algorithm

El-Hay

Elkholy

2018

IEEJ Transactions Elec Engng

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Saliency and nonlinear magnetization characteristics of switched reluctance motor (SRM) are causes for its poor performance regarding torque ripples. This paper presents an innovative methodology based on a water cycle algorithm (WCA) for SRM speed control with minimum torque ripples and maximum torque per ampere. WCA enhances the dynamic and steady-state performance of this motor by optimizing a multiobjective function consisting of three parts. The first part is the integral time absolute error (ITAE) of motor speed with respect to a desired reference speed, the second part is an index for a motor torque smoothness factor (TSF), and the third part is the torque per ampere ratio (TAR). The desired output of WCA is the appropriate gains of the PI speed controller and optimum turn on and off angles of the H-bridge driving circuit. The results obtained from WCA are used to construct an adaptive controller-based artificial neural network (ANN) to automatically tune the gains of the PI speed controller and the turn on and off angles. The ANN controller ensures superior steady-state and dynamic motoring operation over a wide range of speed commands and different loads. The results of WCA are verified by other well-known meta-heuristic optimized techniques, such as the Genetic algorithm (GA). The suggested method exhibits an excellent speed transient response in addition to minimum torque ripples and maximum TAR.

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Section: Introductionmentioning

confidence: 99%

Optimal dynamic and steady‐state performance of switched reluctance motor using water cycle algorithm

El-Hay

Elkholy

2018

IEEJ Transactions Elec Engng

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“…Co-Simulación y Control de Velocidad de un Motor de Reluctancia Variable con Falla de Cortocircuito entre Vueltas del Devanado ANJ en el MRV como son PI, PID difuso, PD difuso haciendo pruebas sujetas a perturbaciones, cambio en el par de carga y tiempo de establecimiento. En[13], se expone la eficiencia del controlador PI ya que presenta una amplia robustez y un buen desempeño en la respuesta transitoria a bajo costo, con la ventaja que es de fácil implementación para obtener resultados experimentales.En[14] se resaltan las características del controlador difuso PID sometido a pruebas de baja, media y alta velocidad obteniendo un mejor desempeño a altas velocidades, siendo un 3 % más rápido que el controlador PI.En[15] se compararon los controladores PI, PD difuso y PID difuso, sometidos a una prueba de variación de par de carga y tiempo de establecimiento, siendo la mejor opción el PID difuso a pesar de que el error en estado estacionario no se redujo a cero.1.1.4. Fallas de cortocircuitoEl diagnóstico de fallas incipientes en las máquinas eléctricas es una de las tareas más complejas al momento de vigilar su desempeño, se tiene gran interés en desarrollar modelos que representen el comportamiento del aislante.La fase inicial de la mayoría de fallas incipientes es por medio del deterioro del aislante y puntos de calor generados por estrés eléctrico; esto permite que el dieléctrico no aislé las espiras de los devanados.…”

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Co-simulación y control de velocidad de un Motor de Reluctancia Variable, con falla de cortocircuito entre vueltas del devanado

Jiménez¹

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In this work, the analysis of the inter-turn short-circuit fault of the incipient type was carried out for an 8/6-pole Variable Reluctance Motor (MRV) using the numerical co-simulation technique a finite element model is used for the motor, a PI type speed controller is implemented and the asymmetric H half bridge converter is also modeled considering the associated power electronics. A description of the machine is presented including the principle of operation, obtaining the commutation sequence and finally a magnetodynamic analysis using the finite element model is performed. Subsequently, a controller of the PI form with rejection of high frequency disturbances is proposed in order to evaluate it in regulation and speed tracking problems without fault. Finally a inter-turn short.circuit fault is simulated at phase A (1, 3, 5 and 7 turns). The fault was represented by means of an RC circuit in parallel with the section of the winding that is short-circuited in one phase of the motor, capturing the behavior of the electromagnetic torque, current and voltage of each phase and angular velocity of the rotor.

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MATLAB simulation of a multi-level speed control system of a 6/4 SRM using PI controller

Cited by 2 publications

References 5 publications

Optimal dynamic and steady‐state performance of switched reluctance motor using water cycle algorithm

Optimal dynamic and steady‐state performance of switched reluctance motor using water cycle algorithm

Co-simulación y control de velocidad de un Motor de Reluctancia Variable, con falla de cortocircuito entre vueltas del devanado

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