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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Baolin Wu Xibin Cao |
| Copyright Year | 2006 |
| Description | Author affiliation: Res. Center of Satellite Technol., Harbin Inst. of Technol. (Baolin Wu; Xibin Cao) |
| Abstract | Numerous controllers have been proposed based on linear Hill's equations for satellite formation control. To date, most of these controllers assumed that the system model is well defined, and all the states are known. In this paper, robust constrained model predictive controllers are designed which allows explicit incorporating of the description of parametric uncertainty and the actuator magnitude uncertainty based on this linear Hill's equations. The goal is to design, at each time step, a state-feedback control law which minimizes a "worst case" infinite horizon objective function, subject to constraint on the control input. The problem is reduced to a convex optimization involving linear matrix inequalities (LMIs). The proposed robust controllers are evaluated in simulation. The simulation results demonstrate that the proposed controllers are capable of controlling the satellite formation system with parametric uncertainty and the actuator magnitude uncertainty better than LQR |
| Starting Page | 6 |
| Ending Page | 18 |
| File Size | 2865078 |
| Page Count | 13 |
| File Format | |
| ISBN | 0780393953 |
| DOI | 10.1109/ISSCAA.2006.1627693 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-01-19 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robust control Satellites Uncertainty Hydraulic actuators Optimal control Predictive models Control systems Orbits Equations Predictive control |
| Content Type | Text |
| Resource Type | Article |
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