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For target tracking when UAV's operate in indoor environments, they present difficulties when using the GPS signal. One of the solutions to this type of problem is visual feedback through a camera on board the aircraft. In this work we developed two types of controllers a classic PID and a controller that uses the kinematic model of the UAV that allows to make the tracking of a defined pattern in space within indoor environments, both controllers receive a visual feedback through a camera on board the UAV that by means of a calibration estimates the distances of the UAV with respect to the pattern in each of its axes, finally a comparison of results is made and it is determined that the controller with kinematic model presents an error less than 5% for each axis in trajectories greater than one meter being the most optimal in this work.

Wind turbine generators represent a valid and sustainable alternative for a significant energy provision, which is increasingly demanded by the planet, and a number of generator models have been proposed for supporting their design. However, equatorial regions have very special conditions for their gravity and wind behavior. Therefore, we present here a new wind turbine-generator model suitable for equatorial environments. Our simulation system is based on computational fluid dynamics and the Navier-Stokes equation, accounting both for structural and energy efficiency considerations. The most relevant simulation parameters were shown to be the Shovel number, the rotor diameter, the generated power, and the working frequency. Simulation results were consistent with different gravity conditions affecting to the fluid viscosity and the blades weight, as well as with differences in uniform and turbulent wind flow behavior. The proposed model allows us to make decisions about the structure and optimal requirements suitable for equatorial regions.