Many control algorithms for ABS systems have been proposed in the literature since the introduction of this equipment by Bosch in 1978. In general, one can divide these control algorithms into two different types: those based on a regulation logic with wheel acceleration thresholds that are used by most commercial ABS systems; and those based on wheel slip control that are preferred in the large majority of academic algorithms. Each approach has its pros and cons [Shida 2010]. Oversimplifying, one can say that the strength of the first ones is their robustness; while that of the latter ones their short braking distances (on dry grounds) and their absence of limit cycles. At the midpoint of this industry/academy dichotomy, based on the concept of extended braking stiffness (XBS), a quite different class of ABS control strategies has been proposed by several researchers (see, e.g., [Sugai 1999] and [Ono 2003]). This concept combines the advantages from both the industrial and academic approaches. Nevertheless, since the slope of the tyre characteristic is not directly measurable, it introduces the question of real-time XBS estimation. The first part of this thesis is devoted to the study of this estimation problem and to a generalization of the proposed technique to a larger class of systems. From the technological point of view, the design of ABS control systems is highly dependent on the ABS system characteristics and actuator performance. Current ABS control algorithms on passenger cars, for instance the Bosch ABS algorithm, are based on heuristics that are deeply associated to the hydraulic nature of the actuator. An interesting observation is that they seem to work properly only in the presence of a specific delay coming from the hydraulic actuation [Gerard 2012]. For brake systems that have different delays compared to those of hydraulic actuators, like electric in-wheel motors (with a smaller delay) or pneumatic trailer brakes (with a bigger delay), they might be no longer suitable [Miller 2013]. Therefore, adapting standard ABS algorithms to other advanced actuators becomes an imperative goal in the automobile industry. This goal can be reached by the compensation of the delays induced by actuators. The second part of this thesis is focused on this issue, and to the generalization of the proposed technique to a particular class of nonlinear systems. Throughout this thesis, we employ two different linearization techniques: the linearization of the error dynamics in the construction of model-based observers [Krener 1983] and the linearization based on restricted state feedback [Brockett 1979]. The former is one of the simplest ways to build an observer for dynamical systems with output and to analyze its convergence. The main idea is to transform the original nonlinear system via a coordinate change to a special form that admits an observer with a linear error dynamics and thus the observer gains can be easily computed to ensure the observer convergence. The latter is a classical method to control nonlinear systems by converting them into a controllable linear state equation via the cancellation of their nonlinearities. It is worth mentioning that existing results for observer design by error linearization in the literature are only applied to the case of regular time scalings ([Guay 2002] and [Respondek 2004]). The thesis shows how to extend them to the case of singular time scalings. Besides, the thesis combines the classical state feedback linearization with a new method for the input delay compensation to resolve the output tracking problem for restricted feedback linearizable systems with input delays.

Dans cette thèse, nous étudions le problème de l'identification d'un système à dynamique linéaire. Dans un premier temps, nous répertorions les différentes méthodes qui ont été développées dans la littérature en nous concentrant plus particulièrement sur les méthodes des observateurs adaptatifs. Dans un second temps nous présentons un premier algorithme qui est une approche mixant les méthodes des sous-espaces et celles des observateurs adaptatifs. Ce nouvel algorithme est d'autant plus intéressant qu'il nous permet d'identifier des réalisations de systèmes MIMO dans une base d'état arbitraire. La convergence de cet algorithme est démontrée en utilisant les notions d'excitation persistantes. Dans un troisième chapitre nous introduisons une nouvelle méthode qui s'appuie sur le concept des observateurs de Luenberger non linéaires développés ces dernières années. Ce nouvel algorithme se différencie des algorithmes existants par sa capacité à produire une estimation simultanée des paramètres et de l'état du système. Nous démontrons alors sa robustesse à des perturbations affectant la dynamique interne ou les mesures. La convergence de cet algorithme est obtenue si les entrées du système satisfont une hypothèse d'excitation différentielle. Tous ces algorithmes sont alors évalués et implémentés sur un banc d'expérimentation / In this thesis, we study the problem of identification of a linear dynamical system. First, we survey various methods that have been developed in the literature. We focus more particularly on methods named adaptive observers. Secondly we present an approach which combines subspace identification methods and adaptive observers. This new method is interesting since it allows us to identify MIMO systems in an arbitrary basis. The convergence of this algorithm is demonstrated using the persistent excitation notions. In the third chapter we introduce a new method that is inspired from nonlinear Luenberger observers developed in recent years. This new algorithm is different from the existing algorithms since the parameters and the systemstatus are estimated simultaneously. We demonstrate the robustness of this approach. The convergence of the algorithm is obtained if the system inputs satisfy a differential excitation hypothesis. All these algorithms are evaluated and implemented on an experimental bench

Ce mémoire de thèse présente une méthode permettant d'améliorer laconduite automobile. Le filtre de Kalman étendu est utilisé pour identifierun modèle de la voiture. Ce filtre est particulièrement étudié afin de prendreen compte la redondance des informations et leur mesure asynchrone.Un ensemble cohérent et bon marché de capteurs - incluant accéléromètres,GPS, temps d'ouverture des injecteurs et vitesse - a été développé et installédans plusieurs véhicules. Ces mesures sont utilisées afin de reconstituer lafonction d'efficacité du moteur. Cette méthodologie peut-être utilisée pourtoute étude requérant la connaissance de cette fonction.La fonction d'efficacité est approchée par une fonction polynomiale etle modèle obtenu est la base d'une optimisation utilisant le principe dumaximum de Pontryagin.Les résultats des tests en condition réelle sont donnés et montrent l'efficicacité de l'observateur et du contrôleur / The PhD presents a combined approach to improving individual car efficiency. An optimal observer, the Extended Kalman Filter, is used to create an efficiency model for the car. Particular attention was paid to handling the asynchronous and redundant nature of the measurement data. A low-cost sensor suite developed to measure data is described. This sensor suite was installed on multiple vehicles to good success. It employsan accelerometer, gps, fuel injector timer, and Vss input to measure all the data necessary to reconstruct the car's state. This observer and sensor suite can be used as the base for any study which requires car efficiency maps, allowing research to proceed without manufacturer supplied data. Once the efficiency map is found, it is then curve-fitted in order to reduce model complexity. The simplified model is then used as a basis for optimal control through Pontryagin's Maximum Principle. Real-world test results are given, both for efficiency mapping, and for optimal control. Detailed discussion of the observer and controller is presented, in order to ease understanding and save implementation time

The eciency of electrical machines is of major concern due to their widespread usage and the globally increasing awareness of energy consumption issues. Iron losses have a signicant impact on the total and thus researchers and manufacturers of electrical machines are developing dierent strategies in order to reduce them. The iron losses are highly dependent on the magnetic material that is used and thus it is necessary to identify its relevant characteristics. In this work, the development of a control system for inducing a pure sinusoidal magnetic ux density in the magnetic material is described. This is necessary in order to perform characterisation of the magnetic material. The main diculty is the highly non-linear and hysteretic relationship between the magnetic eld strength and the magnetic ux density. In order to mitigate the eect of the hysteresis, a mathematical inverse model was used in the control system. To nd a suitable model, an extensive study of literature was performed and discussed in this work. The Preisach model and its dynamic extension was chosen as the most suitable approach. A detailed description of both theory and implementation details is provided in this work. Furthermore, the model is validated by comparing simulation against measurement data for two dierent materials. In the last part of this work, the inverse model is combined with a controller to form a feedback control system. Two dierent control schemes are investigated: a simpler PI controller and a more elaborate disturbance observer (DOB) based control scheme. The DOB is used to observe the hysteresis inversion error and the observation is used to correct for the error. The controller's ability to produce a pure sinusoidal magnetic ux density was assessed by simulations with dierent magnetic materials at varying frequencies. / Verkningsgraden for elmotorer ar av okande intresse pa grund av deras omfattande anvandning och vaxande oro for globala energiforbrukningsfragor. Jarnforluster har ett stort inytande i de totala forlusterna och ar darfor ett viktigt omrade for forskare och tillverkare av elektriska motorer. Jarnforlusterna beror till stor del av det magnetiska materialet som anvands i konstruktion av elmotorer och det ar darfor nodvandigt att identiera materialets egenskaper. I det har arbetet beskrivs utvecklingen av ett reglersystem for att inducera en ren sinusformat magnetisk odestathet i ett magnetiskt material. Detta ar nodvandigt for att kunna bestamma det magnetiska materialets egenskaper under kontrollerade forhallanden. Huvudsvarigheten ar det icke-linjara sambandet mellan magnetiska faltstyrkan och odest atheten. Sambandet formar en hysteres och for att eliminera dess inytande anvandes en matematisk invers model. For att hitta en lamplig model genomfordes en literaturstudie och Preisach modellen och dess dynamiska utokning valdes. I detta arbete nns en detaljerad beskrivning av bade teorin bakom modellen och dess implementering. Modellen utvarderades genom att jamfora matvarden med simulationsresultat for olika magnetiska material. I sista delen av detta arbete kombineras inversmodellen med ett reglerssystem for att kunna uppna en sinusformat odestathet i det magnetiska materialet. Tva olika regleralgoritmer utvarderas, en enklare PI-regulator och en regulator som inkluderar en sa kallat "Disturbance Observer" (DOB). DOB:n anvandes for att observera felet som uppstar vid invertering av hysteresen och for att korrigera felet. De bada regulatorernas formaga attaterskapa en ren sinusformat magnetisk odestathet testas genom att genomfora simulationer for olika magnetiska material vid varierande frekvenser.

No description available.

Current consumption measurements are useful in a wide variety of applications, including power monitoring and fault detection within a lithium battery management system (BMS). This measurement is typically taken using either a shunt resistor or a Hall-effect current transducer. Although both methods have achieved accurate current measurements, shunt resistors have inherent power loss and often require isolation circuitry, and Hall-effect sensors are generally expensive. This work explores a novel alternative to sensing battery current by measuring terminal voltages and cell temperatures and using an unknown input observer (UIO) to estimate the battery current. An accurate model of a LiFePO4 cell is created and is then used to characterize a model of the proposed current estimation technique. Finally, the current estimation technique is implemented in hardware and tested in an online BMS environment. Results show that the current estimation technique is sufficiently accurate for a variety of applications including fault detection and power profiling.

Cette thèse s'adresse au problèmes relié au modélisation mathématique en culture continue et culture batch. Nous proposons et étudions, dans une première étape, des modèles mathématiques de quelques processus biologique en culture continue (Chemostat) permettant d'expliquer et de prévoir la coexistence et la coexistence pratique. Dans une deuxième étape, une série d'expériences de laboratoire sont munies en culture batch, et un modèle mathématique tenant compte du recyclage de substrat est proposé, analysé et validé sur des donnés expérimentales en culture pure et mixte prouvant la validité de la principe d'exclusion compétitive en culture batch. / Cette thèse s'adresse au problèmes relié au modélisation mathématique en culture continue et culture batch. Nous proposons et étudions, dans une première étape, des modèles mathématiques de quelques processus biologique en culture continue (Chemostat) permettant d'expliquer et de prévoir la coexistence et la coexistence pratique. Dans une deuxième étape, une série d'expériences de laboratoire sont munies en culture batch, et un modèle mathématique tenant compte du recyclage de substrat est proposé, analysé et validé sur des donnés expérimentales en culture pure et mixte prouvant la validité de la principe d'exclusion compétitive en culture batch.

This study constructed habitat suitability criteria for fishes of the South Fork of the Shenandoah River, in Virginia. The criteria will be used in an IFIM study to produce estimates of the discharge required by fishes in the South Fork. Chi-square tests were used to evaluate whether criteria described habitat use to a statistically significant degree. Secondly, chi-square tests were used to test transferability. The criteria described the habitat use of seven taxa commonly found in the South Fork to a statistically significant degree. Habitat criteria for two taxa did not describe their habitat use to a statistically significant degree. One set of criteria from the North Fork of the Shenandoah transferred to the fish observed in the South Fork. Secondly, this paper examined observer effects of underwater observation. It was of interest to explore how observer effects influenced habitat suitability criteria.

Ce travail de thèse porte, en premier lieu et principalement, sur le diagnostic à base de modèle d’une classe de SLC (Systèmes Linéaires à Commutations). Une problématique récurrente dans ce type de problème concerne la prise en considération de façon explicite les deux aspects, continu et discret, constituant un SLC. Dans ce cadre, nous avons proposé une méthodologie de détection et de localisation de défauts qui combine les outils initialement dédiés au diagnostic des systèmes continus et d’autres spécifiques aux SED (Systèmes à Evénement Discrets). L’approche proposée est conçue autour de trois modules : deux types de générateurs de résidus (issus de l’Automatique continue) et un estimateur en-ligne de l’état discret, appelé diagnostiqueur (issu de l’Automatique événementielle). Notre diagnostiqueur utilise les deux types de résidus, provenant de la partie continue, afin d’identifier le mode de fonctionnement du SLC et d’isoler les défauts de capteurs. Les résidus utilisés pour la localisation des défauts de capteurs sont générés à travers un générateur développé autour d’un schéma DOS (Dedicated Observer Scheme) à base d’observateurs hybrides,à la fois robustes vis-à-vis des entrées inconnues et sensibles aux défauts de capteurs. En second lieu, sur la base des résultats obtenus à l’aide de l’approche de diagnostic développée, nous avons proposé une approche préliminaire de synthèse de lois de commande tolérantes aux défauts de capteurs stabilisante via un retour d’état. Cette approche permet de préserver les performances nominales du système (situation non défaillante)en présence d’un défaut de capteurs. L’idée consiste à reconfigurer le retour d’état en remplaçant le vecteur d’état estimé à partir d’une sortie en défaut par un autre estimé à partir d’une sortie saine. La redondance des estimations est assurée dans cette approche par un banc d’observateurs hybrides robustes qui fournit plusieurs estimations correctes des vecteurs d’état et de sorties. / This thesis focuses, in first and foremost, on the model-based diagnosis of a class of SLC (Switched Linear Systems). The basic idea is to consider the continuous and discrete aspects, forming an SLC, explicitly.In this context, we proposed a methodology for detecting and locating faults that combines the tools originally dedicated to the continuous systems and the DES (discrete event systems) diagnosis. The proposed approach is designed around three modules: two types of residual generators (from the continuous Automatic) and anon-line estimator of the discrete state, called diagnoser (from the event Automatic). Our diagnoser uses the residual generators issue from the continuous part to identify the SLC mode and isolate sensor faults.Residues used for fault location sensors are generated through a generator developed around a scheme DOS(Dedicated Observer Scheme) based on hybrid observers. These observers are robust vis-à-vis the unknown input and sensitive to sensor faults. Secondly, based on the obtained results using the previous diagnosis approach, we proposed a preliminary approach for fault-tolerant state-feedback control law synthesis. This approach preserves the nominal performance of the system (as non-defaulting) in the presence of defective sensors. The idea is to reconfigure the state feedback by replacing the state vector estimated from defected output by another estimated from non-defected one. Redundancy estimates is provided in this approach by a bank of robust hybrid observer that provides several accurate estimates of state vectors and outputs.

As ondulações na corrente do estator e o forte impacto de erros em parâmetros são apontados como desvantagens do controle preditivo finite control-set (FCS) quando aplicado no controle de máquinas elétricas trifásicas. Neste contexto, o objetivo deste trabalho é propor métodos para aprimorar tanto o desempenho em regime permanente quanto à robustez frente a erros paramétricos do controle preditivo de corrente, conhecido como model predictive current control (MPCC). No presente trabalho são propostas as abordagens MPCC baseada na aplicação de dois e três vetores de tensão durante o mesmo período de controle com intuito de aprimorar o desempenho do controle preditivo de corrente, sem a necessidade de elevar a frequência de amostragem do sistema. Os princípios para escolha dos vetores ótimos e seus respectivos tempos de aplicação são baseados nas expressões para controle desacoplado de torque e fluxo do FOC e no princípio de funcionamento do deadbeat. A robustez paramétrica é garantida por meio de um observador de distúrbios discreto incorporado ao método de controle MPCC. Com a estimação dos impactos causados por variações de parâmetros e dinâmicas não modeladas é possível corrigir os erros dos sistema de controle, mas mantendo-se as suas características transitórias e de regime permanente. Resultados de simulação computacional bem como resultados obtidos em bancada de ensaios experimentais são apresentados para avaliação e comprovação das propostas. / Ripples in the stator current and the strong impact of errors in parameters are pointed as disadvantages of the predictive control when applied in the control of three-phase electric machines. In this context, the objective of this work is to propose methods to improve both the steady-state performance and the robustness against parametric errors of the current predictive control, known as MPCC. In the present work the MPCC approaches are proposed based on the application of two and three voltage vectors during the same control period in order to improve the performance of the current predictive control, without the need to raise the sampling frequency of the system. The principles for choosing the optimal vectors and their respective duration are based on the expressions for FOC method and on the concept of deadbeat operation. In addition, the impact of errors on parameters is minimized by means of a discrete disturbance observer embedded in the MPCC control method. With the estimation of the impacts caused by changes of parameters and not modeled dynamics it is possible to correct the errors of the control system, but keeping their transient and steady state characteristics. Results of computational simulation as well as results obtained in experimental tests are presented for evaluation and proof of the proposals.