NLGA based Active Control in Aerospace: fault tolerability, disturbance rejection, and parameter estimation

A new control scheme has been presented in this thesis. Based on the NonLinear Geometric Approach, the proposed Active Control System represents a new way to see the reconfigurable controllers for aerospace applications. The presence of the Diagnosis module (providing the estimation of generic si...

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Bibliographic Details
Main Author: Mimmo, Nicola <1983>
Other Authors: Marconi, Lorenzo
Format: Doctoral Thesis
Language:en
Published: Alma Mater Studiorum - Università di Bologna 2015
Subjects:
Online Access:http://amsdottorato.unibo.it/7113/
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spelling ndltd-unibo.it-oai-amsdottorato.cib.unibo.it-71132015-04-22T16:21:53Z NLGA based Active Control in Aerospace: fault tolerability, disturbance rejection, and parameter estimation Mimmo, Nicola <1983> ING-INF/04 Automatica A new control scheme has been presented in this thesis. Based on the NonLinear Geometric Approach, the proposed Active Control System represents a new way to see the reconfigurable controllers for aerospace applications. The presence of the Diagnosis module (providing the estimation of generic signals which, based on the case, can be faults, disturbances or system parameters), mean feature of the depicted Active Control System, is a characteristic shared by three well known control systems: the Active Fault Tolerant Controls, the Indirect Adaptive Controls and the Active Disturbance Rejection Controls. The standard NonLinear Geometric Approach (NLGA) has been accurately investigated and than improved to extend its applicability to more complex models. The standard NLGA procedure has been modified to take account of feasible and estimable sets of unknown signals. Furthermore the application of the Singular Perturbations approximation has led to the solution of Detection and Isolation problems in scenarios too complex to be solved by the standard NLGA. Also the estimation process has been improved, where multiple redundant measuremtent are available, by the introduction of a new algorithm, here called "Least Squares - Sliding Mode". It guarantees optimality, in the sense of the least squares, and finite estimation time, in the sense of the sliding mode. The Active Control System concept has been formalized in two controller: a nonlinear backstepping controller and a nonlinear composite controller. Particularly interesting is the integration, in the controller design, of the estimations coming from the Diagnosis module. Stability proofs are provided for both the control schemes. Finally, different applications in aerospace have been provided to show the applicability and the effectiveness of the proposed NLGA-based Active Control System. Alma Mater Studiorum - Università di Bologna Marconi, Lorenzo 2015-04-10 Doctoral Thesis PeerReviewed application/pdf en http://amsdottorato.unibo.it/7113/ info:eu-repo/semantics/openAccess
collection NDLTD
language en
format Doctoral Thesis
sources NDLTD
topic ING-INF/04 Automatica
spellingShingle ING-INF/04 Automatica
Mimmo, Nicola <1983>
NLGA based Active Control in Aerospace: fault tolerability, disturbance rejection, and parameter estimation
description A new control scheme has been presented in this thesis. Based on the NonLinear Geometric Approach, the proposed Active Control System represents a new way to see the reconfigurable controllers for aerospace applications. The presence of the Diagnosis module (providing the estimation of generic signals which, based on the case, can be faults, disturbances or system parameters), mean feature of the depicted Active Control System, is a characteristic shared by three well known control systems: the Active Fault Tolerant Controls, the Indirect Adaptive Controls and the Active Disturbance Rejection Controls. The standard NonLinear Geometric Approach (NLGA) has been accurately investigated and than improved to extend its applicability to more complex models. The standard NLGA procedure has been modified to take account of feasible and estimable sets of unknown signals. Furthermore the application of the Singular Perturbations approximation has led to the solution of Detection and Isolation problems in scenarios too complex to be solved by the standard NLGA. Also the estimation process has been improved, where multiple redundant measuremtent are available, by the introduction of a new algorithm, here called "Least Squares - Sliding Mode". It guarantees optimality, in the sense of the least squares, and finite estimation time, in the sense of the sliding mode. The Active Control System concept has been formalized in two controller: a nonlinear backstepping controller and a nonlinear composite controller. Particularly interesting is the integration, in the controller design, of the estimations coming from the Diagnosis module. Stability proofs are provided for both the control schemes. Finally, different applications in aerospace have been provided to show the applicability and the effectiveness of the proposed NLGA-based Active Control System.
author2 Marconi, Lorenzo
author_facet Marconi, Lorenzo
Mimmo, Nicola <1983>
author Mimmo, Nicola <1983>
author_sort Mimmo, Nicola <1983>
title NLGA based Active Control in Aerospace: fault tolerability, disturbance rejection, and parameter estimation
title_short NLGA based Active Control in Aerospace: fault tolerability, disturbance rejection, and parameter estimation
title_full NLGA based Active Control in Aerospace: fault tolerability, disturbance rejection, and parameter estimation
title_fullStr NLGA based Active Control in Aerospace: fault tolerability, disturbance rejection, and parameter estimation
title_full_unstemmed NLGA based Active Control in Aerospace: fault tolerability, disturbance rejection, and parameter estimation
title_sort nlga based active control in aerospace: fault tolerability, disturbance rejection, and parameter estimation
publisher Alma Mater Studiorum - Università di Bologna
publishDate 2015
url http://amsdottorato.unibo.it/7113/
work_keys_str_mv AT mimmonicola1983 nlgabasedactivecontrolinaerospacefaulttolerabilitydisturbancerejectionandparameterestimation
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