Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/70563
Title: Development of unmanned aerial vehicles with advanced safety capabilities
Authors: Zhang, Songyuan
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2017
Source: Zhang, S. (2017). Development of unmanned aerial vehicles with advanced safety capabilities. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: Unmanned Aerial Vehicles (UAVs) have attracted a recurring interest in recent years. UAVs have been used to tackle critical tasks in a more efficient and safer way than ground robots in many situations. Since UAVs are often operating in complex environments such as forest, mountain, urban area, etc., in order to protect surrounding properties and people, a model based UAV control with advanced safety system is studied. A particular type of quadcopter is developed based on the characteristics of the platform and motors to increase flight stability and maneuverability. Kinematics and dynamics equations of the quadcopter are derived and system identification methods are applied to obtain the parameters of the model. Besides, a proportional-derivative (PD) controller is designed first. Further, to eliminate the steady state error and enhance the tracking performance, the controller is further improved to incorporate an integral control. To ensure that UAV stays inside the operating area and protect surroundings, an advanced safety system featured with dynamic soft geofence, fixed hard geofence, and real-time monitoring at the ground control station is developed. Dynamic soft geofence is used to predict the distance to the hard geofence boundary after a fixed time duration based on current location and the dynamics of the UAV. A model predictive control (MPC) approach is applied to design a controller for braking without breaching the hard geofence boundary. A simulator is created to simulate and visualize the quadcopter control mechanisms as well as path flying performance with the implemented geofence system. Simulations and experiments are carried out to verify the performance of the designed control and safety system.
URI: http://hdl.handle.net/10356/70563
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

Files in This Item:
File Description SizeFormat 
Master_thesis_zhangsongyuan_final.pdf21.49 MBAdobe PDFThumbnail
View/Open

Page view(s)

116
checked on Sep 27, 2020

Download(s) 50

35
checked on Sep 27, 2020

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.