State Estimation and Control for Low-cost Unmanned Aerial Vehicles - nuovo libro

Libro nella banca dati dal 2015-06-19T11:08:13+02:00 (Rome)
Pagina di dettaglio ultima modifica in 2023-11-14T16:29:13+01:00 (Rome)
ISBN/EAN: 9783319164175

ISBN - Stili di scrittura alternativi:
978-3-319-16417-5
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : ers, ching, halil, winfried
Titolo del libro: control state, low cost, vehicles

Dati dell'editore

Autore: Chingiz Hajiyev; Halil Ersin Soken; Sıtkı Yenal Vural
Titolo: State Estimation and Control for Low-cost Unmanned Aerial Vehicles
Editore: Springer; Springer International Publishing
232 Pagine
Anno di pubblicazione: 2015-06-10
Cham; CH
Lingua: Inglese
96,29 € (DE)
99,00 € (AT)
118,00 CHF (CH)
Available
XII, 232 p. 156 illus., 38 illus. in color.

EA; E107; eBook; Nonbooks, PBS / Technik/Luftfahrttechnik, Raumfahrttechnik; Luft- und Raumfahrttechnik; Verstehen; Fault Detection and Isolation; Flight Control System; Kalman Filter; Robust Estimation; Unmanned Aerial Vehicles; B; Aerospace Technology and Astronautics; Control and Systems Theory; Signal, Speech and Image Processing; Engineering; Astronautik (Raumfahrttechnik); Regelungstechnik; Elektronik; Digitale Signalverarbeitung (DSP); BB

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 in which UAVs may be employed. Fault detection and isolation (FDI) and data fusion for UAV air-data systems are also investigated, and control algorithms, including the classical, optimal, and fuzzy controllers, are given for the UAV. The performance of different control methods is investigated and the results compared.

simulations.

will be of interest to  both  researchers  in  academia  and  professional  engineers  in  the aerospace  industry. Graduate students may also find it useful, and some sections are suitable for an undergraduate readership.

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.

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 in which UAVs may be employed. Fault detection and isolation (FDI) and data fusion for UAV air-data systems are also investigated, and control algorithms, including the classical, optimal, and fuzzy controllers, are given for the UAV. The performance of different control methods is investigated and the results compared.

simulations.

will be of interest to  both  researchers  in  academia  and  professional  engineers  in  the aerospace  industry. Graduate students may also find it useful, and some sections are suitable for an undergraduate readership.