FPGA Implementation of Passivity-Based Control and Output Load Algebraic Estimation for Transformerless Multilevel Active Rectifier

Juárez-Abad, José Antonio; Sandoval-Garcia, Arturo Pablo; Linares-Flores, J.; Guerrero-Castellanos, J.F.; Bañuelos-Sánchez, P.; Contreras-Ordaz, Marco Antonio

doi:10.1109/tii.2018.2865445

Cited by 10 publications

(4 citation statements)

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“…This control strategy was studied initially by Sira-Ramírez (see the seminal work of Sira-Ramírez [60] for the underlying theoretical considerations and see [61] for the potential of this technique in applications). Among the numerous applications in automatic control that have been developed regarding the ETEDPOF technique, one can find those associated with traditional power electronics [61], DC motors driven by DC/DC power converters [14], [26], [32], [37], [43], [48], [51], [52], single phase active rectifiers [62], three-phase Boost rectifiers [63], airships [64], mobile robotics [65], renewable energy systems [66], separately excited DC motors [67], induction motor powered by photovoltaic panels [68], transformerless multilevel active monophase rectifiers [69], permanent magnet synchronous motors [70], and magnetorheological automotive suspensions [71]. Thus, inspired by the control applications based on the ET-EDPOF methodology, in this paper a sensorless passivitybased control that considers the ETEDPOF strategy and flatness is proposed for the new "full-bridge Buck inverter-DC motor" system.…”

Section: Discussion Of Related Work Motivation and Contributionmentioning

confidence: 99%

“…• When electrical abrupt changes, or mechanical load perturbations, are introduced in some parameters of the system the results show that the performance of the system in closed-loop is not robust. However, this could be overcome when the ETEDPOF control is modified as in [66] or when it is combined with algebraic estimation methods as in [14], [37], [67]- [69].…”

Section: Advantages and Limitations Of The Etedpof Controllermentioning

confidence: 99%

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Sensorless Tracking Control for a “Full-Bridge Buck Inverter–DC Motor” System: Passivity and Flatness-Based Design

et al. 2021

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A sensorless control based on the exact tracking error dynamics passive output feedback (ETEDPOF) methodology is proposed for executing the angular velocity trajectory tracking task on the "full-bridge Buck inverter-DC motor" system. When such a methodology is applied to the system, the tracking task is achieved by considering only the current sensing and by using some reference trajectories for the system. The reference trajectories are obtained by exploiting the flatness property associated with the mathematical model of the "full-bridge Buck inverter-DC motor" system. Experimental tests are developed for different desired angular velocity trajectories. With the aim of obtaining the experimental results in closed-loop, a "full-bridge Buck inverter-DC motor" prototype, Matlab-Simulink, and a DS1104 board from dSPACE are employed. The experimental results show the effectiveness of the proposed control.INDEX TERMS Motor drivers, power converters, full-bridge Buck inverter, DC motor, passivity control, differential flatness, trajectory tracking.

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Section: Discussion Of Related Work Motivation and Contributionmentioning

confidence: 99%

Section: Advantages and Limitations Of The Etedpof Controllermentioning

confidence: 99%

Sensorless Tracking Control for a “Full-Bridge Buck Inverter–DC Motor” System: Passivity and Flatness-Based Design

et al. 2021

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“…Para verificar los resultados de simulación se realizó la implementación del sistema que consistió en dos partes principales: la primera, contempla la construcción del prototipo del convertidor multinivel y los sistemas auxiliares para su funcionamiento, la descripción del mismo se muestra en la Figura 10. La segunda parte, es la implementación en un FPGA de los algoritmos del controlador ADRC y el modulador PS-PWM. En [19] se recomienda seguir la metodología top-down que es muy adecuada para implementar algoritmos en los dispositivos de lógica reconfigurable y que ha sido usada con excelente desempeño en [14], [20][21][22]. Para llevar a cabo la implementación se empleó el software de Xilinx ISE 14.7, se codificó en VHDL sin hacer uso de alguna herramienta de alto nivel basada en bloques o generación de código, y se ocuparon los elementos internos del FPGA, tales como memorias BRAM y multiplicadores embebidos para optimizar el uso de recursos internos del dispositivo; el diseño realizado se muestra en la Figura 11.…”

Section: Resultados Experimentalesunclassified

Control para el voltaje de salida de un inversor multinivel de capacitores flotantes

et al. 2020

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Este artículo presenta el diseño de un controlador mediante la técnica de rechazo activo de perturbaciones para el seguimiento de la trayectoria de referencia para el voltaje de salida de un inversor multinivel de capacitores flotantes. Si en el modelo dinámico del convertidor se consideran las dinámicas de cada capacitor flotante y adicionalmente, las de los elementos pasivos del filtro de salida, el modelo resultante es de un orden alto, lo que dificulta su control. En este trabajo se emplea la modulación PS-PWM para mantener los voltajes en los capacitores flotantes en sus valores nominales y de esta manera poder generar un modelo dinámico simple, que resulta ser más fácil de controlar. Los resultados de simulación y experimentales, confirman que el controlador es robusto a perturbaciones provocadas por cambios en la carga, sin importar si son de tipo lineal o no lineal. Se realizó la construcción del prototipo experimental del sistema y se implementó el controlador y modulador en un FPGA y en la parte final se muestran los resultados obtenidos.

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“…If a poorly calibrated sensor is used to measure an input signal, it can produce an inaccurate input signal that affects model accuracy. Whereas, in the case of data acquisition, if a low sampling rate is used to capture all the variations in a signal, it can result in an inaccurate input or output signal affecting the accuracy of the model [23].…”

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confidence: 99%

Impact of the Noise on the Emulated Grid Voltage Signal in Hardware-in-the-Loop Used in Power Converters

et al. 2023

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This work evaluates the impact of the input voltage noise on a Hardware-In-the-Loop (HIL) system used in the emulation of power converters. A poor signal-to-noise ratio (SNR) can compromise the accuracy and precision of the model, and even make certain techniques for building mathematical models unfeasible. The case study presents the noise effects on a digitally controlled totem-pole converter emulated with a low-cost HIL system using an FPGA. The effects on the model outputs, and the cost and influence of different hardware implementations, are evaluated. The noise of the input signals may limit the benefits of increasing the resolution of the model.

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FPGA Implementation of Passivity-Based Control and Output Load Algebraic Estimation for Transformerless Multilevel Active Rectifier

Cited by 10 publications

References 32 publications

Sensorless Tracking Control for a “Full-Bridge Buck Inverter–DC Motor” System: Passivity and Flatness-Based Design

Sensorless Tracking Control for a “Full-Bridge Buck Inverter–DC Motor” System: Passivity and Flatness-Based Design

Control para el voltaje de salida de un inversor multinivel de capacitores flotantes

Impact of the Noise on the Emulated Grid Voltage Signal in Hardware-in-the-Loop Used in Power Converters

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