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State Estimation and Control for Low-cost Unmanned Aerial Vehicles

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	State Estimation and Control for Low-cost Unmanned Aerial Vehicles/ by Chingiz Hajiyev, Halil Ersin Soken, Sıtkı Yenal Vural.
作者:	Hajiyev, Chingiz.
其他作者:	Ersin Soken, Halil.
面頁冊數:	XII, 232 p. 156 illus., 38 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Aerospace engineering. -
電子資源:	https://doi.org/10.1007/978-3-319-16417-5
ISBN:	9783319164175

State Estimation and Control for Low-cost Unmanned Aerial Vehicles
Hajiyev, Chingiz.

State Estimation and Control for Low-cost Unmanned Aerial Vehicles[electronic resource] /by Chingiz Hajiyev, Halil Ersin Soken, Sıtkı Yenal Vural. - 1st ed. 2015. - XII, 232 p. 156 illus., 38 illus. in color.online resource.

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. State Estimation and Control of Low-Cost Unmanned Aerial Vehicles covers all the important issues for designing a guidance, navigation and control (GNC) system of a low-cost UAV. It proposes significant new approaches that can be exploited by GNC system designers in the future and also reviews the current literature. The state estimation, control and FDI methods are illustrated by examples and MATLAB® simulations. State Estimation and Control of Low-Cost Unmanned Aerial Vehicles 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.

ISBN: 9783319164175

Standard No.: 10.1007/978-3-319-16417-5doiSubjects--Topical Terms:

686400
Aerospace engineering.

LC Class. No.: TL787-4050.22

Dewey Class. No.: 629.1

State Estimation and Control for Low-cost Unmanned Aerial Vehicles
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