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Modelling and Control of an Effort Feedback Actuator in Helicopter Flight Control Using Energetic Macroscopic Representation

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Academic year: 2021

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Science Arts & Métiers (SAM)

is an open access repository that collects the work of Arts et Métiers Institute of

Technology researchers and makes it freely available over the web where possible.

This is an author-deposited version published in: https://sam.ensam.eu Handle ID: .http://hdl.handle.net/10985/9780

To cite this version :

Mikael MARTIN, Julien GOMAND, François MALBURET, Pierre-Jean BARRE - Modelling and Control of an Effort Feedback Actuator in Helicopter Flight Control Using Energetic Macroscopic Representation - In: IMAACA 2011, 5th International Conference on Integrated Modeling and Analysis in Applied Control and Automation, Italie, 2011-09-12 - IMAACA 2011 - 2011

Any correspondence concerning this service should be sent to the repository Administrator : archiveouverte@ensam.eu

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MODELLING AND CONTROL OF AN EFFORT FEEDBACK ACTUATOR IN

HELICOPTER FLIGHT CONTROL USING ENERGETIC MACROSCOPIC

REPRESENTATION

Mikaël MARTIN*(a), Julien GOMAND*(b), François MALBURET*(c), Pierre-Jean BARRE*(d)

(*) LSIS, Arts et Métier ParisTech – Aix en Provence (Fr)

(a)mikael.martin-7@etudiants.ensam.eu, (b)julien.gomand@ensam.eu, (c)francois.malburet@ensam.fr, (d)pierre-jean.barre@ensam.eu,

ABSTRACT

In helicopter field, electromechanical devices controllers are usually designed and tuned from global analysis with transfer functions calculations. This leads to control architectures with a reduced number of controllers. Their regulating loops are usually global PID controllers where parameters are directly set up on dedicated test benches. Energetic representation tools such as Energetic Macroscopic Representation (EMR) aim at simplifying systems analysis and control providing model and control structuring method. In this paper, a simplified helicopter flight axis control is modelled with the intention of controlling the helicopter stick force feedback. Performances of both global PID and energetic model based inversion controllers are discussed through simulation results.

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