State Estimation and Control for Low-cost Unmanned Aerial Vehicles
This book discusses state estimation and control procedures for a low-cost unmanned aerial vehicle (UAV). The authors consider the use of robust adaptive Kalman filter algorithms and demonstrate their advantages over the optimal Kalman filter in the context of the difficult and varied environments i...
Main Authors: | , , |
---|---|
Corporate Author: | |
Format: | Electronic eBook |
Language: | English |
Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
|
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Introduction to Unmanned Aerial Vehicles
- Equations of Motion for the UAV
- Navigation Systems for UAV
- Estimation of the UAV Dynamics
- Estimation of the UAV Dynamics
- Estimation of the UAV Dynamics in the Presence of Sensor Faults
- Estimation of the UAV Dynamics in the Presence of Sensor/Actuator Faults
- Fault Detection, Isolation and Data Fusion for the UAV Air Data System
- Stability Analysis for the UAV
- Classical Controller Design for the UAV
- LQR Controller Design
- Fuzzy Logic Based Controller Design.