Year: 2020
Type: article
Abstract: Model predictive control (MPC) is an optimal control strategy where control input calculation is based on minimizing the predicted tracking error over a finite horizon that moves with time. This strategy has an advantage over conventional state feedback and output feedback controllers because it predicts the response of the system, rather than simply reacting to it. Therefore, MPC can offer improved performance in the presence of input and output constraints. Many implementations of MPC on aerospace vehicles appear in literature [1]. Some of these include spacecraft and satellite attitude control [2-4], spacecraft rendezvous and docking [5], helicopters [6], and atmospheric re-entry [7, 8].
DOI: 10.2514/1.g004925
Authors: Joseph Chai, Eran Medagoda, Erkan Kayacan
Institution: The University of Queensland
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Funder: Australian Government
OpenAlex ID: W3097645558