2026-09-18T23:55:08Zhttps://dspace.mit.edu/server/oai/request

oai:dspace.mit.edu:1721.1/288922022-01-13T07:54:11Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023

Piero Miotto and John J. Deyst. Ruiz, Jose Pedro, 1980- Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics 2005-09-27T18:54:42Z 2005-09-27T18:54:42Z 2004 2004 http://hdl.handle.net/1721.1/28892 60457769 Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2004. Page 136 blank. Includes bibliographical references (p. 135). The losses of military and civilian aircraft due to control surface failures have prompted research into controllers with a degree of reconfiguration. This thesis will describe a design approach incorporating Model Predictive Control (MPC) with a self updating model to achieve a level of reconfiguration in a generic high performance aircraft. MPC has the advantage of explicitly taking a model of the failed system and incorporating it into a receding horizon optimization problem. MPC also has the added benefits of allowing constraints on the inputs, outputs, and states of the system as well as tuning flexibility. This thesis describes the development of four types of MPC autopilots. A description of the controller implementation and failure implementation is also included. Each autopilot is subject to a surface failure during certain times in a sample maneuver and the resulting controller adaptation is analyzed. All MPC controllers are found to maintain good performance in the event of certain failures with an updated internal model. It is when the internal model is not updated that full performance is not recovered and in some cases, loss of the aircraft results. by Jose Pedro Ruiz. S.M. 136 p. 4683789 bytes 4701429 bytes application/pdf application/pdf en_US Massachusetts Institute of Technology 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 Aeronautics and Astronautics. Reconfigurable autopilot design for a high performance aircraft using model predictive control Thesis application/pdf Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="ed60060d-4145-454c-b08e-be3bd4b25203"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>en_US</Language> <Title>Reconfigurable autopilot design for a high performance aircraft using model predictive control</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2004</PublicationDate> <Authors> <Author> <DisplayName>Ruiz, Jose Pedro, 1980-</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Aeronautics and Astronautics.</Keyword> <Abstract>The losses of military and civilian aircraft due to control surface failures have prompted research into controllers with a degree of reconfiguration. This thesis will describe a design approach incorporating Model Predictive Control (MPC) with a self updating model to achieve a level of reconfiguration in a generic high performance aircraft. MPC has the advantage of explicitly taking a model of the failed system and incorporating it into a receding horizon optimization problem. MPC also has the added benefits of allowing constraints on the inputs, outputs, and states of the system as well as tuning flexibility. This thesis describes the development of four types of MPC autopilots. A description of the controller implementation and failure implementation is also included. Each autopilot is subject to a surface failure during certain times in a sample maneuver and the resulting controller adaptation is analyzed. All MPC controllers are found to maintain good performance in the event of certain failures with an updated internal model. It is when the internal model is not updated that full performance is not recovered and in some cases, loss of the aircraft results.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>