Rubén Tapia-Olvera

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This paper presents the design and implementation of a simple fuzzy logic controller (FLC) for a DC-DC buck converter based on the PIC18F4550 microcontroller to control the lead acid battery charging voltage in solar cells applications. For cost consideration, an inexpensive 8-bit microcontroller is selected to program and implement the FLC(More)
A B-spline neural networks-based adaptive control technique for angular speed reference trajectory tracking tasks with highly efficient performance for direct current shunt motors is proposed. A methodology for adaptive control and its proper training procedure are introduced. This algorithm sets the control signal without using a detailed mathematical(More)
This paper presents an adaptive control strategy for wind energy conversion systems. The control scheme uses a B-spline artificial neural network for tuning controllers when the system is subjected to disturbances. Voltage-source converter is controlled in a synchronous orthogonal d-q frame by an adaptive PI controller. The B-spline neural network must be(More)
This paper is aimed to exhibit the performance of the static compensator (StatCom) as a mean for controlling the power system voltage magnitude on those buses surrounding the neighborhood where the StatCom is embedded. In order to attain such purposes a B-spline Neural Network-based control is proposed. Results show the strategy's possibilities.
In this paper a control scheme is described for regulation and trajectory tracking tasks planned for the motion of a helicopter with four rotors wich is also known as Quadrotor. The control scheme consists of four classical controllers and a generation stage of trajectories for the desired translational movement in the X − Y plane. Simulations results show(More)
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