Comparative Analysis of MRAC Architectures in a Unified Framework

Bierling, Thomas; Höcht, Leonhard; Holzapfel, Florian; Wildschek, Andreas

doi:10.2514/6.2010-7536

Cited by 12 publications

(8 citation statements)

References 12 publications

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“…A Modelica tyre model package [23] already available at DLR was adapted to this work. A Modelica tyre model package [23] already available at DLR was adapted to this work.…”

Section: Virtual Aircraftmentioning

confidence: 99%

“…the stability for the chosen adaptive law is shown [1], [21], [23] while the learning rate of the adaptive law can be adjusted with the constant parameter γ .…”

Section: Mrac Architecture For Adaptive Trackingmentioning

confidence: 99%

“…[2,23,34]. Currently, much research is performed in the field of indirect adaptive control, where the adaptation is more extensive than only tuning the PID control gains.…”

Section: Introductionmentioning

confidence: 99%

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Advances in Aerospace Guidance, Navigation and Control

Holzapfel¹,

Theil²

2011

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“…A Modelica tyre model package [23] already available at DLR was adapted to this work. A Modelica tyre model package [23] already available at DLR was adapted to this work.…”

Section: Virtual Aircraftmentioning

confidence: 99%

“…the stability for the chosen adaptive law is shown [1], [21], [23] while the learning rate of the adaptive law can be adjusted with the constant parameter γ .…”

Section: Mrac Architecture For Adaptive Trackingmentioning

confidence: 99%

See 1 more Smart Citation

Advances in Aerospace Guidance, Navigation and Control

Holzapfel¹,

Theil²

2011

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“…As a matter of fact, being hypersonic regime This calls for a FDIR strategy in order to maximize the reliability of Control Laws and guarantee the safety of the mission even in presence of severe failure conditions. At this regard, Model Reference Adaptive Control (MRAC) [1] has gained more and more attention in the Aerospace community, because such approach is able to deal with both system uncertainties and failures. Hence, many applications of MRAC technique are concerned with vehicle safety in case of occurring faults.…”

Section: Introductionmentioning

confidence: 99%

Fault detection isolation and reconfiguration algorithms for atmospheric re-entry

Poderico

Morani

Corraro

2014

22nd Mediterranean Conference on Control and Automation

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This paper proposes a new Fault Tolerant Control Strategy relying on Fault Detection, Isolation and Reconfiguration (FDIR) algorithms. Adaptive Control laws are combined to Control Allocation algorithms that enable the reconfiguration of Flight Control Laws in case of actuators and/or Reaction Control System (RCS) failures. This allows achieving good robustness to possible failures occurring during flight and, at the same time, to optimize the use of a hybrid set of control effectors (i.e. aerodynamic surfaces and Reaction Control System) such to reduce thrusters fuel consumption. Fault Detection and Isolation (FDI) algorithms provide the required information about the health status of actuators/RCS thus enabling the reconfiguration of Flight Control Laws. The effectiveness of the proposed approach has been preliminarily demonstrated through a numerical analysis that accounts for both nominal and failures scenario, by using a 6Dof Model of Flying Test Bed FTB3, developed by Italian Aerospace Research Centre in the framework of Unmanned Space Vehicle (USV) Program.

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“…With this regard, Model Reference Adaptive Control (MRAC) has gained increasing attention in the Aerospace community because of its capability to adapt controller behaviour depending on the different flight conditions, 1 . Advances in the theoretical framework with reference to stability and robustness and the success of flight demonstrations in the 90s have motivated the researcher community to develop new methods in this field.…”

Section: Introductionmentioning

confidence: 99%

Fault-Tolerant Control Laws against Sensors Failures for Hypersonic Flight

Poderico¹,

Morani²,

Sollazzo³

et al. 2012

18th AIAA/3AF International Space Planes and Hypersonic Systems and Technologies Conference

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In this paper a Fault-Tolerant Control strategy against sensors failures for Hypersonic flight has been proposed. The novel approach is based on the robustness capabilities of Direct Model Following (DAMF) method and at the same time it uses sensors accuracy information to improve the adaptivity to sensors failures. DAMF is a Model Reference Control Strategy that asymptotically guarantees a null error between the output of the reference model and the one of the real plant, through a direct adaptation of control loop gains. The proposed algorithm modifies the Direct Adaptive Model Following method by adding a module, that varies the controller parameters having a direct influence on the updating rules of controller gains (i.e. on the adaptive capability of the controller) to obtain Fault Tolerance capabilities. A numerical analysis, carried out by using the flight dynamics model of FTB X vehicle, a flying test bed designed in the framework of Unmanned Space Vehicle programme of Italian Aerospace Research Centre, has demonstrated that the proposed fault-tolerant algorithm has good tracking performances and global closed loop stability in case of both single and multiple failures. Nomenclature x = plant system state vector y = plant system output vector y m = reference system output vector A m = reference system parameters B m = reference system parameters r = reference system input vector u = control law G 0 = adaptation gain matrix C 0 = adaptation gain matrix ν = adaptation gain matrix K 0 = feed-forward gain matrix P = matrix solution of the Lyapunov equation Q = positive definite weighting matrix A e = error matrix γ 1 = adaptation speed parameter γ 2 = adaptation speed parameter γ 3 = adaptation speed parameter R = matrix of the states feedback variables uncertainties R 0 = nominal value matrix of the states feedback variables uncertainties k = a scale factor α = angle of attack q = pitch rate σ = standard deviation of the sensor noise

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Comparative Analysis of MRAC Architectures in a Unified Framework

Cited by 12 publications

References 12 publications

Advances in Aerospace Guidance, Navigation and Control

Advances in Aerospace Guidance, Navigation and Control

Fault detection isolation and reconfiguration algorithms for atmospheric re-entry

Fault-Tolerant Control Laws against Sensors Failures for Hypersonic Flight

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