Les travaux de thèse s’inscrivent dans le cadre d’une relation pérenne que le CRAN entretient depuis 10 ans avec le CNES. Il s’agit d’étudier la pertinence du remplacement des réseaux de type bus actuellement embarqués dans les lanceurs européens, par des architectures Ethernet commutées standard sur étagères. Les précédents travaux ont permis de qualifier Ethernet sur 2 items de qualité de service : temps-réel et disponibilité. Nous nous attachons à poursuivre ce travail en validant ces premiers résultats sur une plateforme, reproduction à l’échelle de l’architecture qui sera embarquée dans les lanceurs. Ensuite, nous travaillons sur un item original de qualité de service, exigence typique du spatial, appelé observabilité. L’objectif est de rejouer tout vol, après coup, au sol, sachant que le lanceur n’y revient pas, et que l’architecture est commutée, conférant au réseau une dimension multi-domaines d’observation non synchronisés. La synthèse de toutes les captures impose donc de garantir que l’ordonnancement et la fraîcheur des informations de contrôle du lanceur véhiculées dans les trames soient en cohérence avec le fonctionnement applicatif spécifié, et que ce qui est observé soit conforme à ce qui s’est réellement passé. Enfin, nous proposons un sur-échantillonnage réglé dynamiquement pour profiter de la bande passante disponible sans remettre en cause les exigences temps-réel, de reconfiguration et d’observabilité / This thesis is part of a long-lasting relationship between the CRAN and the CNES since 10 years. This involves studying the pertinence of replacing the buses currently embedded in European’s launchers, by off-the-shelf switched standard Ethernet architecture. Previous works qualified Ethernet regarding two quality of service items: real time and reliability. We continue this work by validating these first results on a platform, true scale architecture reproduction which will be embedded in launchers. Then, we work on an original quality of service item, typical of the spatial requirements, called observability. The objective is to re-play the whole flight, afterwards, on ground, knowing that the launcher will not come back, and the architecture is segmented, conferring to the network the dimension of non synchronized multi-domains of observation. The synthesis of all the captures implies to guarantee that the order and the freshness of launcher control information are consistent with the specified applicative operation, and that what is observed is compliant to what really happened. Finally, we propose an over-sampling which is dynamically regulated in order to benefit from the available bandwidth without disturbing real time, reconfiguration and observability requirements

Magnetorheological (MR) dampers are adaptive devices whose properties can be adjusted through the application of a controlled voltage signal. A semi-active suspension system incorporating MR dampers combines the advantages of both active and passive suspensions. For this reason, there has been a continuous effort to develop control algorithms for MR-damped vehicle suspension systems to meet the requirements of the automotive industry. The overall aims of this thesis are twofold: (i) The investigation of non-parametric techniques for the identification of the nonlinear dynamics of an MR damper. (ii) The implementation of these techniques in the investigation of MR damper control of a vehicle suspension system that makes minimal use of sensors, thereby reducing the implementation cost and increasing system reliability. The novel contributions of this thesis can be listed as follows: 1- Nonparametric identification modelling of an MR damper using Chebyshev polynomials to identify the damping force from both simulated and experimental data. 2- The neural network identification of both the direct and inverse dynamics of an MR damper through an experimental procedure. 3- The experimental evaluation of a neural network MR damper controller relative to previously proposed controllers. 4- The application of the neural-based damper controller trained through experimental data to a semi-active vehicle suspension system. 5- The development and evaluation of an improved control strategy for a semi-active car seat suspension system using an MR damper. Simulated and experimental validation data tests show that Chebyshev polynomials can be used to identify the damper force as an approximate function of the displacement, velocity and input voltage. Feed-forward and recurrent neural networks are used to model both the direct and inverse dynamics of MR dampers. It is shown that these neural networks are superior to Chebyshev polynomials and can reliably represent both the direct and inverse dynamic behaviours of MR dampers. The neural network models are shown to be reasonably robust against significant temperature variation. Experimental tests show that an MR damper controller based a recurrent neural network (RNN) model of its inverse dynamics is superior to conventional controllers in achieving a desired damping force, apart from being more cost-effective. This is confirmed by introducing such a controller into a semi-active suspension, in conjunction with an overall system controller based on the sliding mode control algorithm. Control performance criteria are evaluated in the time and frequency domains in order to quantify the suspension effectiveness under bump and random road excitations. A study using the modified Bouc-Wen model for the MR damper, and another study using an actual damper fitted in a hardware-in-the-loop- simulation (HILS), both show that the inverse RNN damper controller potentially gives significantly superior ride comfort and vehicle stability. It is also shown that a similar control strategy is highly effective when used for a semi-active car seat suspension system incorporating an MR damper.

The main fokus of this D thesis consists in the creating of horizontal points in Lešná village that is closed to Valašské Meziříčí, part Vysoká. Sixty five points of horizontal control (PPBP) were located and set in Vysoká. The network adjustment was done with the help of the method of lest squares and coordinates were counted with the G-NET/Mini programme.