Stabilized MPC formulations for robust reconfigurable flight control

Kale, Murat; Chipperfield, A.J.

doi:10.1016/j.conengprac.2004.09.001

Cited by 90 publications

(44 citation statements)

References 18 publications

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“…The biggest interest have been to design reconfigurable flight control laws that can adapt to actuator failures and battle damages [Almeida and Leissling, 2009, Maciejowski and Jones, 2003, Kale and Chipperfield, 2005. For example in Maciejowski and Jones [2003] the authors claim that the fatal crash of the El Al Flight 1862 [NLR, 1992] could have been avoided if a fault tolerant MPC controller had been implemented.…”

Section: Research Motivationmentioning

confidence: 99%

Model Predictive Control in Flight Control Design : Stability and Reference Tracking

Simon

2014

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Aircraft are dynamic systems that naturally contain a variety of constraints and nonlinearities such as, e.g., maximum permissible load factor, angle of attack and control surface deflections. Taking these limitations into account in the design of control systems are becoming increasingly important as the performance and complexity of the controlled systems is constantly increasing. It is especially important in the design of control systems for fighter aircraft. These require maximum control performance in order to have the upper hand in a dogfight or when they have to outmaneuver an enemy missile. Therefore pilots often maneuver the aircraft very close to the limit of what it is capable of, and an automatic system (called flight envelope protection system) against violating the restrictions is a necessity.In other application areas, nonlinear optimal control methods have been successfully used to solve this but in the aeronautical industry, these methods have not yet been established. One of the more popular methods that are well suited to handle constraints is Model Predictive Control (MPC) and it is used extensively in areas such as the process industry and the refinery industry. Model predictive control means in practice that the control system iteratively solves an advanced optimization problem based on a prediction of the aircraft's future movements in order to calculate the optimal control signal. The aircraft's operating limitations will then be constraints in the optimization problem.In this thesis, we explore model predictive control and derive two fast, low complexity algorithms, one for guaranteed stability and feasibility of nonlinear systems and one for reference tracking for linear systems. In reference tracking model predictive control for linear systems we build on the dual mode formulation of MPC and our goal is to make minimal changes to this framework, in order to develop a reference tracking algorithm with guaranteed stability and low complexity suitable for implementation in real time safety critical systems.To reduce the computational burden of nonlinear model predictive control several methods to approximate the nonlinear constraints have been proposed in the literature, many working in an ad hoc fashion, resulting in conservatism, or worse, inability to guarantee recursive feasibility. Also several methods work in an iterative manner which can be quit time consuming making them inappropriate for fast real time applications. In this thesis we propose a method to handle the nonlinear constraints, using a set of dynamically generated local inner polytopic approximations. The main benefits of the proposed method is that while computationally cheap it still can guarantee recursive feasibility and convergence.v Populärvetenskaplig sammanfattningFlygplan är dynamiska system som naturligt innehåller en mängd begränsningar och olinjäriteter så som t.ex. max tillåten lastfaktor, anfallsvinkel och roderlägen. Att ta hänsyn till dessa begränsningar i designen av styrsystem blir allt viktiga...

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Section: Research Motivationmentioning

confidence: 99%

Model Predictive Control in Flight Control Design : Stability and Reference Tracking

Simon

2014

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“…However, if state-feedback MPC is used in an interconnection with an observer one should also take care to also reconfigure the observer appropriately in order to achieve fault-tolerant state estimation. Examples of the application of MPC to FTC are numerous [66,51,76,50,56].…”

Section: Model Predictive Controlmentioning

confidence: 99%

Fault Tolerant Flight Control - A Survey

Verhaegen

Kanev

Hallouzi³

et al. 2010

Lecture Notes in Control and Information Sciences

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“…The aircraft loses its symmetry after surface damage and the conventional control approach based on separated longitudinal and lateral dynamics may not be applicable. 4) A large number of techniques have been proposed to solve the problem and some have been tested in actual flight. 5) Generally speaking, the methods for designing fault tolerant control systems in control literature can be classified into passive and active approaches as shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

Time Delay Fault Tolerant Controller for Actuator Failures during Aircraft Autolanding

Lee¹,

Choi²,

Lee³

et al. 2012

Trans. Japan Soc. Aero. S Sci.

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A time delay control methodology is adopted to cope with degraded control performance due to control surface damage of unmanned aerial vehicles, especially in the case of the automatic landing phase. It is a crucial challenge to maintain consistent control performance even under fault environments such as stuck and/or incipient actuator faults. Flight control systems designed using conventional feedback control methods in such cases may result in unsatisfactory performance, and even worse, may not guarantee the closed-loop stability, which is fatal for aircraft in the state of auto-landing. To overcome the shortfalls of the conventional approach, the time delay control scheme is adopted. This scheme is known to be robust against disturbance, model uncertainties and so on. Motivated by the fact that the abrupt and/or incipient actuator faults focused on in this paper could be considered as model uncertainties, we consider the application of the time delay controller to designing a fault tolerant control system. To show the effectiveness of the time delay control method, a nonlinear 6-DOF simulation is performed under model uncertainties and wind disturbances, and control performance is compared with that of conventional controllers in the case of multiple and single actuator faults.

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Stabilized MPC formulations for robust reconfigurable flight control

Cited by 90 publications

References 18 publications

Model Predictive Control in Flight Control Design : Stability and Reference Tracking

Model Predictive Control in Flight Control Design : Stability and Reference Tracking

Fault Tolerant Flight Control - A Survey

Time Delay Fault Tolerant Controller for Actuator Failures during Aircraft Autolanding

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