Design and Piloted Simulation of a Robust Integrated Flight and Propulsion Controller

Bates, Declan G.; Gatley, Sarah; Postlethwaite, Ian; Berry, Andrew

doi:10.2514/2.4519

Cited by 26 publications

(3 citation statements)

References 5 publications

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“…It changes the chromosomes from a random value. Major procedures of the GAs are summarized as: (1) encoding and decoding frame (2) producing initial population (3) fitness evaluation (4) parent selection (5) crossover operator (6) mutation operator. Obviously, the explicit model-following design could work out in the phugoid mode of the propulsion control system.…”

Section: Optimal Model Matching Using Gasmentioning

confidence: 99%

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Explicit Model-Following Design of Propulsion Control Aircraft Using Genetic Algorithms

2006

2006 IEEE International Conference on Systems, Man and Cybernetics

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This paper presents the design of flight control system for crippled aircraft with engine thrust only. The longitudinal attitudes of propulsion control aircraft are guided through the explicit model-following tracker. The technique of command generator tracker is applied to convert the model-matching problem into a regulator problem. The model mismatch error is minimized by means of linear quadratic optimal control. Furthermore, the genetic algorithms (GAs) are employed to search the optimal parameters of the robust controller. Computer simulation demonstrates the responses of crippled aircraft behave like those of nominal model and the controller possesses the robustness against elevator with partial effective, engine delay, and sensor noise.

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Section: Optimal Model Matching Using Gasmentioning

confidence: 99%

“…In 1985, for example, the elevator efficiency of the Boeing 747 of Japan Airlines was lost and the pilots employed engine thrust to fly for one hour [2].…”

Section: Introductionmentioning

confidence: 99%

Explicit Model-Following Design of Propulsion Control Aircraft Using Genetic Algorithms

2006

2006 IEEE International Conference on Systems, Man and Cybernetics

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“…Linearization of nonlinear VSTOL plant made it possible to use linear control methodologies such as PID controllers with fuzzy supervisory [5]. Even in the case of high-order nonlinear plants robust control methods can be used to compensate for uncertain high frequency dynamics and neglected actuator effects [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Design and comparison of LQG/LTR and H∞ controllers for a VSTOL flight control system

Zarei

Montazeri

Motlagh

et al. 2007

Journal of the Franklin Institute

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$\mathcal{H}_\infty$ Control Design

Bates

Mathematical Methods for Robust and Nonlinear Control

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Design and Piloted Simulation of a Robust Integrated Flight and Propulsion Controller

Cited by 26 publications

References 5 publications

Explicit Model-Following Design of Propulsion Control Aircraft Using Genetic Algorithms

Explicit Model-Following Design of Propulsion Control Aircraft Using Genetic Algorithms

Design and comparison of LQG/LTR and H∞ controllers for a VSTOL flight control system

$\mathcal{H}_\infty$ Control Design

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