Fr. 102.00

Spacecraft Attitude Control - Development and Application of New Algorithms

English, German · Paperback / Softback

Shipping usually within 2 to 3 weeks (title will be printed to order)

Description

Read more

The main goal of the research is to collect and develop new attitude algorithms that build up the different scenarios acted by a spacecraft starting from the orbit injection phase. It is found that the attitude scenarios can be classified mainly into two categories the first is the angular momentum management of a spacecraft and the second is the attitude maneuvers. The first category can be divided into two modes which are the detumbling mode and the momentum unloading mode. A new algorithm for estimating the angular rates has been developed. In the second category, the attitude maneuver, the research work is concluded by developing a new technique to solve the problem of the second category using neuro-fuzzy control.

About the author










Mohammad Abdelrahman Ph.D., graduated in Cairo University, Faculty of Engineering, Aerospace Department. Dr. Abdelrahman participated in the Egyptian Space Program and BayernSat project at TÜM, Germany He was working as a research professor at Astrodynamics and Control Lab, Yonsei University. Presently he is working as an assistant professor.

Product details

Authors Mohamma Abdelrahman, Mohammad Abdelrahman, Sayed Hassan
Publisher LAP Lambert Academic Publishing
 
Languages English, German
Product format Paperback / Softback
Released 01.03.2012
 
EAN 9783848400867
ISBN 978-3-8484-0086-7
No. of pages 232
Dimensions 150 mm x 12 mm x 220 mm
Weight 324 g
Subject Natural sciences, medicine, IT, technology > Technology > Aviation and space engineering

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.