Abstract
The article deals with the analysis of angular velocity sensors, for the control of a small unmanned airplane. In the paper, the authors discuss the process of creating an angular velocity sensor error model for the analysis of the interfering component size of the useful signal. The built-in error model of the inertial sensor will be implemented in a small, unmanned airplane model, in order to increase the stability and controllability of the airplane. Allan variation will be used to analyze stochastic processes of inertial sensors.
Highlights
The article deals with the issue of sensor error model design, with which it will be possible to simulate errors in any IMU unit that can be installed in a small unmanned aircraft
The prerequisite for this is the possibility of designing filters for a range of IMU units that can be installed in a small unmanned aircraft to increase the stability and controllability of the airplane using different IMUs
The goal of the work as a whole is to design and simulate the architecture that filters out interfering signals from the control process, introducing sensors as well as unpredictable phenomena during flight, such as sudden gusts of wind
Summary
The article deals with the issue of sensor error model design, with which it will be possible to simulate errors in any IMU unit that can be installed in a small unmanned aircraft. With this model, Kallman filters can be designed to help optimize airplane stability and controllability criteria. Allan variation is used to analyze the stochastic processes of sensors
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
