|
project specification

FFT Gyro

The FFT GYRO system is a safe test bed that helps to understand, develop and implement control laws for flight dynamics of vertical take-off and landing vehicles without putting at risk the equipment. The test bed can be connected to MATLAB / Simulink to accelerate the test and implementation of the algorithms. Thanks to the safe structure, the system can be installed in a classroom or a lab, were students can get a closer look and get a deep understanding of the vehicles dynamics and control.

Eureka

Specifications

Height100
Width85
Depth85
Device mass49
Encoder resolution0.0879
Motor power15.3
Plate (roll) mass745
Inner Gimbal (pitch) mass827
Outer Gimbal (yaw) mass524
Roll, pitch and yaw range360
Multi-rotor compatible sizes200-500
Power 12
Communication protocols

Overview

The test bed can be connected to MATLAB / Simulink to accelerate the test and implementation of the algorithms. Thanks to the safe structure, the system can be installed in a classroom or a lab, were students can get a closer look and get a deep understanding of the vehicles dynamics and control.

The system is a platform with 3 DOF. A multi-rotor can be attached to a plate, which can hold different types and sizes and align the geometric center to the center of rotation of the FFT GYRO, letting the vehicle move about it’s real geometric center, and not eccentrically. 

The structure is designed to allow free rotation about the main axes. The gimbals are equipped with slip rings, so there is no limitation in the rotation of the parts and the connections. The system has three encoders and DC motors (optional). To measure the true roll, pitch and yaw angles of the drone, high-resolution magnetic absolute multi-turn encoders are used. And the DC motors can simulate external forces as disturbances, to perform validations of the robustness for the control laws. The gimbals are made of high-quality carbon fiber, to reduce the inertia that might be added to the system and maintain the properties of a rigid structure.

References

Describes the project, it's applications, and has more specifications.

https://eurekadynamics.com

Tags

research platformsunmanned aerial vehicles (UAVs)

Continue Reading

Monthly robotics news blog. Discover the latest products, research, tutorials, and security news for robotics.

The State of Robotics, May & June 2022

DTU spinout solves mine clearance tasks for the Danish Defence and the offshore wind turbine industry.

Advanced drone technology streamlining mine clearance

MIT researchers exhibit a new advancement in autonomous drone navigation, using brain-inspired liquid neural networks that excel in out-of-distribution scenarios.

Drones navigate unseen environments with liquid neural networks