A5018219743- Structural Engineering and Vibration Analysis
- Adaptive Control of Nonlinear Systems
- Extremum Seeking Control Systems
- Robotic Path Planning Algorithms
- Engineering and Information Technology
- Guidance and Control Systems
- Multilevel Inverters and Converters
- Sensorless Control of Electric Motors
- Business, Education, Mathematics Research
- Electric Motor Design and Analysis
- Metaheuristic Optimization Algorithms Research
Universidad Nacional de Asunción
2020-2021
Finite-set model predictive control (FS-MPC) as current (PCC) is considered an exciting option for the stator of multiphase machines due to their flexibility and easy inclusion constraints. The weighting factors (WFs) PCC must be tuned variables interest, such machine losses <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$x-y$ </tex-math></inline-formula> currents, typically performed by trial-and-error...
Unmanned aerial vehicles (UAVs) are affordable these days. For that reason, there currently examples of the use UAVs in recreational, professional and research applications. Most commercial Px4 for their operating system. Even though allows one to change flight controller structure, proportional-integral-derivative (PID) format is still by far most popular choice. A selection PID parameters required before UAV can be used. Although guidelines design parameters, they do not guarantee...
In this paper, a simultaneous calibration algorithm of the parameters attitude and altitude control for an unmanned aerial vehicle (UAV) is proposed. The based on multi-objective particle swarm optimization (MOPSO) technique. This implemented by using free PX4 software Pixhawk2 controller. behavior UAV simulated given its physical characteristics means non-linear model search controller parameters. latter proportional (P) position in cascade with proportional-integral-derivative (PID) speed...