Model predictive control with application to real-time hardware and guided parafoil
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2004.
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Format: | Thesis |
Language: | eng |
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Massachusetts Institute of Technology
2005
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Online Access: | http://hdl.handle.net/1721.1/17753 |
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author | Alaniz, Abran, 1980- |
author2 | David W. Carter. |
author_facet | David W. Carter. Alaniz, Abran, 1980- |
author_sort | Alaniz, Abran, 1980- |
collection | MIT |
description | Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2004. |
first_indexed | 2024-09-23T09:04:33Z |
format | Thesis |
id | mit-1721.1/17753 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T09:04:33Z |
publishDate | 2005 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/177532019-04-10T20:36:55Z Model predictive control with application to real-time hardware and guided parafoil Alaniz, Abran, 1980- David W. Carter. Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Aeronautics and Astronautics. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2004. Includes bibliographical references (p. 169-170). Model Predictive Control (MPC) is a control strategy that is suitable for optimizing the performance of constrained systems. Constraints are present in all control systems due to the physical and environmental limits on plant operation. Through a systematical handling of constraints, MPC can improve the performance of a system by allowing it to safely operate near constraint boundaries. This thesis describes the mathematical background of MPC and develops two controllers. One controller is based on a linear model of the plant and is successfully applied to a real-time 3 degrees-of-freedom helicopter system, used to simulate helicopter-like motions in a laboratory setting. This system has a number of significant state and control constraints. The second controller uses a nonlinear model and is applied to a guided parafoil to identify the advantage of using a Doppler wind sensor. A method for reducing the computational load is also introduced that is applicable to both controllers. by Abran Alaniz. S.M. 2005-06-02T18:30:50Z 2005-06-02T18:30:50Z 2004 2004 Thesis http://hdl.handle.net/1721.1/17753 56523593 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 170 p. 5403150 bytes 5402957 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
spellingShingle | Aeronautics and Astronautics. Alaniz, Abran, 1980- Model predictive control with application to real-time hardware and guided parafoil |
title | Model predictive control with application to real-time hardware and guided parafoil |
title_full | Model predictive control with application to real-time hardware and guided parafoil |
title_fullStr | Model predictive control with application to real-time hardware and guided parafoil |
title_full_unstemmed | Model predictive control with application to real-time hardware and guided parafoil |
title_short | Model predictive control with application to real-time hardware and guided parafoil |
title_sort | model predictive control with application to real time hardware and guided parafoil |
topic | Aeronautics and Astronautics. |
url | http://hdl.handle.net/1721.1/17753 |
work_keys_str_mv | AT alanizabran1980 modelpredictivecontrolwithapplicationtorealtimehardwareandguidedparafoil |