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Distributed Architecture of an Autonomous Four Rotor Mini-Rotorcraft based on Multi-Agent System

Authors: H. Ifassiouen, H. Medromi, N. E. Radhy


In this paper, we present the recently implemented approach allowing dynamics systems to plan its actions, taking into account the environment perception changes, and to control their execution when uncertainty and incomplete knowledge are the major characteristics of the situated environment [1],[2],[3],[4]. The control distributed architecture has three modules and the approach is related to hierarchical planning: the plan produced by the planner is further refined at the control layer that in turn supervises its execution by a functional level. We propose a new intelligent distributed architecture constituted by: Multi-Agent subsystem of the sensor, of the interpretation and representation of environment [9], of the dynamic localization and of the action. We tested this distributed architecture with dynamic system in the known environment. The autonomous for Rotor Mini Rotorcraft task is described by the primitive actions. The distributed controlbased on multi-agent system is in charge of achieving each task in the best possible way taking into account the context and sensory feedback.

Keywords: Control System, Intelligent Distributed Architecture, Autonomous four rotors helicopter, Hierarchical planning

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[1] B. Degallaix, J. Thibault, and M. Ghallab. Propositional logic Applied to execution control. In proceedings of the 1992 International conference on Intelligent Robots and Systems, Raleigh, pages 317-324, July 1992.
[2] D. Dubois, J. Lang & H. Prade, "Possibilistic Logic Handbook of Logic in Artificial Intelligence and Logic Programming", Gabbay & Hogger & Robinson (eds). Pages 439-511, Clarendon Press.
[3] J.A. Fodor & Z.W. Pylyshyn, ''Connectionism and Cognitive Architecture: a Critical Analysis, in S. Pinker and J. Mehler (eds), Connections and symbols'', MIT Press, 1988.
[4] M. Ghallab and H. Laruelle. Representation and Control in IxTeT, a temporal planner. In Second Artificial Intelligence Planning System (AIPS94), Chicago, June 1994.
[5] P.Grandjean, M. Ghallab & E. Dekneuvel, "Multisensor Scene Interpretation Model-Based Object Recognition", In IEEE International Conference on Robotics and Automation, Sacramento, USA, Avril 1991.
[6] H.Medromi, J.Y.Tigli & M.C Thomas, ''Posture Estimation of Mobile Robots: Observers-Sensors'', IEEE International Conference on Multisensor Fusion and Intelligent Systems, Las Vegas, USA, October 1994.
[7] H. Medromi, E. Zaafrani, E. Dekneuvel, A. El Hassani & M.C. Thomas, ''Intelligent Control Architecture for Mobile Robot based Fusion Methods'', IEEE International Symposium on Industrial Electronics ISIE'97, Guimaraes, Portugal, July 1997.
[8] H. Medromi, J. Saadi & A. EL Hassani,"Réalisation d'un Systéme d'Interprétation de Données, de Représentation et de Localisation Dynamique d'Environnement pour l'Automatisation d'un Systéme Mobile",Quatriéme Conférence Internationale sur les Mathématiques Appliquées et les Sciences de l'Ingénieur CIMASI'2002, Casablanca, Octobre 2002.
[9] M.J. Rendas & S. Rolfes, "Path Planning in Extended Uncertain Environments'', IECON'98, Aachen, Germany, August '' September 1998.
[10] M. Juny, S.I. Roumeliotisy, G.S. Sukhatmez: State estimation of an autonomous helicopter using Kalman Filtering, Proc. 1999 IEEE/RSJ International Conference on Robots and Systems (IROS 99).
[11] P. Castillo, A. Dzul, R. Lozano, Real-time stabilization and tracking of a four rotor mini rotorcraft, IEEE Transaction on Control Systems Technology, vol. 12, no. 4, July 2004.
[12] A. EL Assoudi, E. EL Yaagoubi, H. Hammouri: Nonlinear observer on the Euler discretization, Int. J. Control, vol. 75, no. 11, 784-791, 2002.
[13] M. Guisser, H. Medromi, H. Ifassiouen, J. Saadi, N E. Radhy: ''Discrete-Time Observer Design for a Class of Nonlinear Systems Including Newtonian Mechanical models: Application to an Autonomous Four Rotors Helicopter'', IECON'2006, Paris - France - November 7-10, 2006.
[14] M. Guisser, H. Medromi, H. Ifassiouen, J. Saadi, N E. Radhy: ''A Coupled Nonlinear Discrete-Time Controller and Observer Designs for Under-actuated Autonomous vehicles with Application to a Quadrotor Aerial Robot'', IECON2006, Paris - France - November 7-10, 2006.