High-performance current control for switched reluctance motors based on on-line estimated parameters

Lin, Zhengyu; Reay, D.S.; Williams, B.W.; He, Xiangning

doi:10.1049/iet-epa.2009.0016

Cited by 55 publications

(26 citation statements)

References 9 publications

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“…Por otro lado, las redes neuronales BP y RBF requieren un entrenamiento con mayor número de cálculos y algunas veces las RN's de BP no convergen o requieren demasiado tiempo para su entrenamiento. Con estas ventajas las BSNN ofrecen una alternativa atractiva, por lo cual se utilizan para el control de aplicaciones robustas, filtros adaptativos, control en tiempo real, modelado de sistemas no lineales, reconocimiento de patrones, etc., [21]. Con la estrategia de entrenamiento en línea y adaptable se asegura la actualización de los pesos de la RN para alcanzar la trayectoria de control deseada [22].…”

Section: Control Neuronal Del Sgeunclassified

“…El entrenamiento en línea es una variación del método del gradiente estándar, donde los pesos de la red se actualizan después de que se procesa cada uno de los ejemplos de aprendizaje. En ingeniería computacional de las redes neuronales, el método del gradiente en línea se emplea comúnmente debido a su simplicidad y eficiencia [21][22].…”

Section: Regla De Aprendizajeunclassified

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Design and Performance Comparison of PI and Adaptive Current Controllers for a WECS

Aguilar

Tapia

Valderrábano

et al. 2015

IEEE Latin Am. Trans.

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This work proposes a novel controller in a stationary reference frame for permanent magnet synchronous generator (PMSGs) of grid-connected wind turbines. The wind energy conversion systems (WECS) adopt a Back-To-Back converter system with voltage source inverter (VSI) and a phaselocked loop to track continuously the fundamental frequency and its phase from voltage node that is connected to the system generation. One of the central themes of this paper is the development of a control scheme that uses a B-spline artificial neural network for controllers tuning when the system is subjected to disturbances. The B-spline neural network must be able to enhance the system performance and the online parameters updated can be possible. This work proposes the use of adaptive PI controllers to regulate the current, frequency and DC-link voltage. Results of the dynamic behavior of the whole WECS are presented along with different cases subject to various disturbances. The simulations show the feasibility and robustness of the proposed control schemes for PMSG based wind turbines. 2002. His current research interests are in modeling and control of wind energy systems and motor drives with computational intelligence techniques.

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Section: Control Neuronal Del Sgeunclassified

Section: Regla De Aprendizajeunclassified

Design and Performance Comparison of PI and Adaptive Current Controllers for a WECS

Aguilar

Tapia

Valderrábano

et al. 2015

IEEE Latin Am. Trans.

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“…Lots of papers have researched gain-scheduling PI current regulators, but the complexity and computational burden of the controller are increased [20], [21]. A robust hysteresis current regulator with a soft chopping mode is devised to reduce the switching frequency and switching loss.…”

Section: A Current Regulatormentioning

confidence: 99%

Braking Torque Closed-Loop Control of Switched Reluctance Machines for Electric Vehicles

Cheng¹,

Chen²,

Zhou³

et al. 2015

Journal of Power Electronics

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In order to promote the application of switched reluctance machines (SRM) in electric vehicles (EVs), the braking torque closed-loop control of a SRM is proposed. A hysteresis current regulator with the soft chopping mode is employed to reduce the switching frequency and switching loss. A torque estimator is designed to estimate the braking torque online and to achieve braking torque feedback. A feed-forward plus saturation compensation torque regulator is designed to decrease the dynamic response time and to improve the steady-state accuracy of the braking torque. The turn-on and turn-off angles are optimized by a genetic algorithm (GA) to reduce the braking torque ripple and to improve the braking energy feedback efficiency. Finally, a simulation model and an experimental platform are built. The simulation and experimental results demonstrate the correctness of the proposed control strategy.

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“…PI-PWM current regulator [15]- [17] or hysteresis current regulator [18], [19] are often used for SRM. Due to the doubly salient structure and saturation operation characteristic, the inductance curve of SRM is nonlinear.…”

Section: A CCC At Low Speed Segmentmentioning

confidence: 99%

Design of a wide speed range control strategy of switched reluctance motor for electric vehicles

Wang

Zhou

Wang

et al. 2015

2015 IEEE International Conference on Information and Automation

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The electric drive system is one of the most important parts of electric vehicles (EVs), whose function is the conversion between electric energy and mechanical energy. Switched reluctance motor (SRM) has the features of simple construction, high starting torque, wide speed range, high efficiency and high reliability which are appropriate for EVs drive system. Firstly, instantaneous torque control and average torque control strategies are compared. Then the better control strategy is selected to operate SRM for a wide speed range. Three different control methods are selected to operate the SRM at different speed ranges. Turn-on and turn-off angles are regulated on-line to optimize the system efficiency. Finally, experimental results verify the correctness of the proposed control methods. Index Terms -Switched reluctance motor, electric vehicle, wide speed range

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High-performance current control for switched reluctance motors based on on-line estimated parameters

Cited by 55 publications

References 9 publications

Design and Performance Comparison of PI and Adaptive Current Controllers for a WECS

Design and Performance Comparison of PI and Adaptive Current Controllers for a WECS

Braking Torque Closed-Loop Control of Switched Reluctance Machines for Electric Vehicles

Design of a wide speed range control strategy of switched reluctance motor for electric vehicles

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