Title :
NN adaptive control of spacecraft attitude
Author :
Zhou, Yucheng ; Zhao, Yannan ; Yang, Zehong ; Wang, Jiaqin
Author_Institution :
Dept. of Comput. science & Technol., Tsinghua Univ., Beijing, China
Abstract :
Modern spacecraft demand an attitude control system with very high performance and accuracy, and many new features, such as self-modification, adaptability, more autonomy and fault tolerance. NN adaptive control can be applied to spacecraft attitude control to meet the demanding requirements and to provide many new features. To control spacecraft attitude motion, a recurrent NN is used to train as an identification model and an adaptive controller. The quaternion method can overcome the singularity problem in a traditional Euler differential equation. To accelerate the convergence speed of the NN training course, an extended Kalman filter method is used to train NN weights.
Keywords :
Kalman filters; adaptive control; attitude control; convergence; fault tolerance; feedforward neural nets; filtering theory; identification; learning (artificial intelligence); neurocontrollers; nonlinear filters; recurrent neural nets; space vehicles; adaptability; adaptive controller; attitude motion control; autonomy; extended Kalman Filter method; fault tolerance; identification model; neural net adaptive control; quaternion method; self-modification; spacecraft attitude control; training; Acceleration; Adaptive control; Attitude control; Differential equations; Fault tolerant systems; Motion control; Neural networks; Programmable control; Quaternions; Space vehicles;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1021551