Efficient Model Predictive Control Algorithm for Aircraft

Model predictive control (MPC) has received much attention since its development over 40 years ago. Within the past 20 years, its application has steadily grown and is now in widespread use, particularly in the process industry [1] using systems with slow, predictable properties. Recent advances in...

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Bibliographic Details
Published in:Journal of guidance, control, and dynamics control, and dynamics, 2011-11, Vol.34 (6), p.1909-1915
Main Authors: Gibbens, Peter W, B. Medagoda, Eran D
Format: Article
Language:English
Subjects:
Accuracy
Aircraft
Algorithms
Applied sciences
Computer science
control theory
systems
Control algorithms
Control theory. Systems
Demand
Dynamical systems
Eigenvalues
Engineering
Exact sciences and technology
Mathematical models
Modelling and identification
Nonlinear dynamics
Nonlinearity
Optimal control
Performance evaluation
Predictive control
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Summary:Model predictive control (MPC) has received much attention since its development over 40 years ago. Within the past 20 years, its application has steadily grown and is now in widespread use, particularly in the process industry [1] using systems with slow, predictable properties. Recent advances in predictive control have lead to its implementation onto faster dynamics systems [2,3] and unstable systems [4], providing a more reliable method of controlling models with nonlinear properties and constraints. There has also been significant research into the use of MPC in aerospace applications. These include addressing issues of robustness [5], model reduction to minimize computational demands [6] and application into airborne platforms[7].
ISSN:0731-5090
1533-3884
DOI:10.2514/1.52162