Nonlinear Predictive Control of Spacecraft John L. Crassidis F. Landis Markley Tobin C. Anthony Stephen F. Andrews Abstract A new approach for the control of a spacecraft with large angle maneuvers is presented. This new approach is based on a nonlinear predictive control scheme which determines the required torque input so that the predicted responses match the desired trajectories. This is ac...

This paper presents an investigation into development of feed-forward and feedback control strategies for active vibration suppression and attitude control of flexible spacecrafts. The feed-forward loop consists of a computed-torque scheme and a command shaping technique based on component synthesis vibration suppression (CSVS) method which was developed based on linear systems theory. For rela...

This paper studies the application of nonlinear cooperative control theory to the attitude synchronization problem. To this end, explicit conditions, in terms of vector nonlinear differential inequalities, is presented firstly to ensure both the Lyapunov stability and asymptotically cooperative stability for a certain class of heterogeneous nonlinear system. Then, decentralized control algorith...

This paper deals with the position control of Vertical Take-Off and Landing (VTOL) Unmanned Aerial Vehicles (UAVs) without linear velocity measurements. We propose a multistage constructive procedure, exploiting the cascade property of the translational and rotational dynamics. More precisely, we consider the force as a virtual control input for the translational dynamics, from which we extract...

The problems of attitude stabilization and disturbance torque attenuation for a small spacecraft using magnetic actuators is considered and a solution to the problem in terms of optimal periodic control is proposed, based on an optimal estimation and compensation scheme for external disturbances for linear time-periodic systems.

We develop a non-linear tracking control law to be applied to formation flying spacecraft. Each spacecraft in the formation is modeled as a rigid body with N axisymmetric wheels controlled by axial torques, and the kinematics are represented by Modified Rodriques Parameters (MRPs). The paper first derives the open-loop reference attitude, rate, and acceleration commands for tracking a moving ob...

in this paper, an adaptive attitude control algorithm is developed based on neural network for a satellite using four reaction wheels in a tetrahedron configuration. then, an attitude control based on feedback linearization control has been designed and uncertainties in the moment of inertia matrix and disturbances torque have been considered. in order to eliminate the effect of these uncertain...

A novel split field of view star tracker is being developed for the EO-3 GIFTS mission (2004). The camera is designed to be autonomously self-calibrating, and capable of a rapid/reliable solution of the lost-in-space problem as well as recursive attitude estimation. Two efficient Kalman filter algorithms for attitude, camera principal point offset, and focal length estimation are developed. The...

A full authority helicopter control design based on differential flatness is presented. The concept of outer flatness is deployed for the design. The position dynamics and attitude dynamics are treated as the outer and inner systems respectively. The proposed design is based on an approximate model which is differentially flat, and then modified for the exact model. Given a desired trajectory i...

Neural networks offer a unique approach to controlling a dynamically changing system. By updating synaptic weights of an interconnected, algebraic framework, desired system objectives can be reached despite an unknown operating environment. This research implements a neural network for controlling the attitude of a satellite with unknown system disturbances. The training and updating of the con...