Valderrabano-Gonzalez, Antonio
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Preferred name
Valderrabano-Gonzalez, Antonio
Official Name
Valderrabano González, Antonio
Alternative Name
avalder
Main Affiliation
ORCID
Scopus Author ID
51864763800
Researcher ID
O-2648-2013

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On Active Vibration Absorption in Motion Control of a Quadrotor UAV

2022 , Francisco Beltran-Carbajal , Hugo Yañez-Badillo , Ruben Tapia-Olvera , Antonio Favela-Contreras , Valderrabano-Gonzalez, Antonio , Irvin Lopez-Garcia

Conventional dynamic vibration absorbers are physical control devices designed to be coupled to flexible mechanical structures to be protected against undesirable forced vibrations. In this article, an approach to extend the capabilities of forced vibration suppression of the dynamic vibration absorbers into desired motion trajectory tracking control algorithms for a four-rotor unmanned aerial vehicle (UAV) is introduced. Nevertheless, additional physical control devices for mechanical vibration absorption are unnecessary in the proposed motion profile reference tracking control design perspective. A new dynamic control design approach for efficient tracking of desired motion profiles as well as for simultaneous active harmonic vibration absorption for a quadrotor helicopter is then proposed. In contrast to other control design methods, the presented motion tracking control scheme is based on the synthesis of multiple virtual (nonphysical) dynamic vibration absorbers. The mathematical structure of these physical mechanical devices, known as dynamic vibration absorbers, is properly exploited and extended for control synthesis for underactuated multiple-input multiple-output four-rotor nonlinear aerial dynamic systems. In this fashion, additional capabilities of active suppression of vibrating forces and torques can be achieved in specified motion directions on four-rotor helicopters. Moreover, since the dynamic vibration absorbers are designed to be virtual, these can be directly tuned for diverse operating conditions. In the present study, it is thus demonstrated that the mathematical structure of physical mechanical vibration absorbers can be extended for the design of active vibration control schemes for desired motion trajectory tracking tasks on four-rotor aerial vehicles subjected to adverse harmonic disturbances. The effectiveness of the presented novel design perspective of virtual dynamic vibration absorption schemes is proved by analytical and numerical results. Several operating case studies to stress the advantages to extend the undesirable vibration attenuation capabilities of the dynamic vibration absorbers into trajectory tracking control algorithms for nonlinear four-rotor helicopter systems are presented.

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An easy guide for inverter design for residential smart building applications

2017 , Valderrabano-Gonzalez, Antonio , Rosas-caro, Julio , Francisco Beltran-Carbajal , Ruben Tapia-Olvera , Hossam A. Gabbar , Adel M. Sharaf

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An Efficient Neurocontroller Position Method for PMSM Drive System

2022 , O. Aguilar-Mejia , H. Minor Popocatl , J.M. Garcia-Morales , C. O. Castillo-Ibarra , Valderrabano-Gonzalez, Antonio

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A hybrid interleaved/switched-capacitor boost converter

2013 , Rosas-caro, Julio , Fernando Mancilla-David , Hilda L. Torres-Espinosa , Valderrabano-Gonzalez, Antonio

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Adaptive Neural Trajectory Tracking Control for Synchronous Generators in Interconnected Power Systems

2022 , Ruben Tapia-Olvera , Francisco Beltran-Carbajal , Valderrabano-Gonzalez, Antonio

The synchronous generator is one of the most important active components in current electric power systems. New control methods should be designed to guarantee an efficient dynamic performance of the synchronous generator in strongly interconnected nonlinear power systems over a wide range of variable operating conditions. In this context, active suppression capability for different uncertainties and external disturbances represents a current trend in the development of new control design methodologies. In this paper, a new adaptive neural control scheme based on differential flatness with a modified structure including B-spline Neural Networks for transient stabilization and tracking of power-angle reference profiles for synchronous generators in interconnected electric power systems is introduced. These features are attained due to the advantages extracted of these two approaches: (a) a control design stage based on a power system model by differential flatness and (b) an adaptive performance using a correct design of B-spline Neural Networks, minimizing parameter dependency. The effectiveness of the proposed algorithm is demonstrated by simulation results in two test systems: single machine infinite bus and an interconnected power system. Transient stability and robust power-angle reference profile tracking are both verified.

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Voltage and Current Switching-Ripple Cancelation in the Double Dual Boost Converter

2018 , Jesus E. Valdez-Resendiz , Rosas-caro, Julio , Mayo Maldonado, Jonathan , Gabriel Calderon-Zavala , Valderrabano-Gonzalez, Antonio , Gerardo Escobar-Valderrama

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Input current ripple cancelation by interleaving boost and Cuk DC-DC converter

2018 , Juan P. Arias-Angulo , Rosas-caro, Julio , Haro-Sandoval, Eduardo , Valderrabano-Gonzalez, Antonio , Mayo Maldonado, Jonathan , Jesus E. Valdez-Resendiz

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Adaptive neural strategies for the interactive tracking flight of two aerial vehicles

2018-01-01 , Yañez-Badillo H. , Tapia-Olvera R. , Beltran-Carbajal F. , Valderrabano-Gonzalez, Antonio , Rosas-Caro, Julio , Aguilar-Mejia O.

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An asymptotic and algebraic estimation method of harmonics

2022 , F. Beltran-Carbajal , R. Tapia-Olvera , Valderrabano-Gonzalez, Antonio , H. Yanez-Badillo

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A Single-Output-Filter Double Dual Ćuk Converter

2024 , Robles-Campos, Héctor R. , Rosas-Caro, Julio , Valderrabano-Gonzalez, Antonio , Posada, Johnny

This study introduces an innovative version of a recently studied converter. A Double Dual Ćuk Converter was recently studied with advantages like the possibility of designing it for achieving a low-input current ripple. The proposed converter, called the Improved Double Dual Ćuk Converter, maintains the advantages of the former one, and it is characterized by requiring one less capacitor and inductor than its predecessor. This allows addressing the challenge of optimizing the topology to reduce component count without compromising the operation; this work proposes an efficient design methodology based on theoretical analysis and experimental validation. Results demonstrate that the improved topology not only retains the advantages of the previous version, including high efficiency and robustness, but also enhances power density by reducing the number of components. These advancements open new possibilities for applications requiring compact and efficient power converters, such as renewable energy systems, electric vehicles, and portable power supply systems. This work underscores the importance of continuous innovation in power converter design and lays the groundwork for future research aimed at optimizing converter topologies. A detailed discussion of the operating principles and modeling of the converter is provided. Furthermore, simulation outcomes highlighting differences in steady-state duration, output voltage, input current ripple, and operational efficiency are shared. The results from an experimental test bench are also presented to corroborate the efficacy of the improved converter.

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