State Estimation and Control for Low-cost Unmanned Aerial Vehicles

In one concise volume, this book contributes to the progress of the technology of Unmanned Aerial Vehicles (UAVs), especially in autonomous control, which is achieved in three stages: fault free estimation of the UAV parameters by robust adaptive Kalman filters, using fault detection and isolation for integration of the UAV flight data and controlling the UAV by means of classical or fuzzy controllers. State Estimation and Control for Low-cost Unmanned Aerial Vehicles covers state estimation, control and fault detection and isolation problems for low-cost unmanned aerial vehicles. Including important issues for designing guidance, navigation and control (GNC) systems, the authors also propose new approaches and review the current literature. The state estimation, fault diagnosis and flight control methods are illustrated by examples, and computer simulations are performed using the MATLAB software package. Novel theoretical results are presented and reinforced by simulations and illustrations. State Estimation and Control for Low-cost Unmanned Aerial Vehicles is useful for engineers, scientists and researchers working in a wide range of disciplines such as aerospace, signal processing and control engineering.