Aarón González-Rodríguez

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AC choppers are a family of ac-to-ac power converters that can be derived from the traditional dc-to-dc converters. Research activity in this kind of converter has recently increased in applications for power conditioning—such as voltage control in the distribution system and power flow control in the transmission system—as an alternative for the dc-link(More)
Abstract— This paper extends the traditional family of PWM DC-DC converters. By employing voltage capacitor-multipliers, converters provide high voltage gains. The capacitor multiplier of each converter is driven by the same transistor of the well-known basic topology. The main features of these new converters are: (i) high-voltage gain without extreme(More)
This paper deals with the experimental control of the rotor position of a DC Motor. A real time Linux-based software is used for implementing this closed loop system. A setup for measuring the rotor position is implemented. This design consists of several hardware/software components. A discretetime state observer is employed for calculating the transient(More)
The dc-dc multilevel boost converter topology was recently proposed with features such as high voltage gain without using an extreme duty ratio, few components and self dclink balancing. This paper presents the state space modeling and a linear controller based on the pole placement technique for the dc-dc multilevel boost converter. Nonlinear and linear(More)
This work deals with the experimental temperature control of a tube furnace that is used for determining physical and chemical properties of different compounds. Several experimental tests are performed to identify the dynamic model, then pole placement technique and integral control by state augmentation are employed to design the control law. In other(More)
This work deals with the experimental results of implementing a nonlinear state-affine observer for a shunt connected DC motor. The observer is able to estimate the state variables and one unknown parameter. The rest of the parameters are modeled by algebraic functions that are based on data obtained from experimental steady state and transient tests.(More)
This work deals with the modeling and parametric identification of a motor-generator set. Nonlinear and linearized dynamic models are derived. By utilizing the structure defined by the linear model and a predictor-error algorithm the parametric identification is accomplished. The methodology is performed on an experimental set-up. Several custommade power,(More)
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