In this thesis the synchronization of two different chaotic systems with matched and mismatched perturbations are developed by utilizing adaptive backstepping control technique. The adaptive mechanisms embeded in the proposed control scheme is used to adapt the unknown upper bounds of the perturbations. The resultant robust backstepping tracking controller with adaptive mechanisms can indeed drive the trajectories of the slave system to track those of the master system. Two numerical examples and simulations are given to illustrate the correctness of theoretical analyses.

Based on the Lyapunov stability theorem, two design methodologies of adaptive block backstepping controller is proposed in this thesis for a class of multi-input systems with matched and mismatched perturbations to solve regulation problems. The main difference between these two method is that perturbation estimations are only employed in each virtual control input in the second method, whereas in the first method, the perturbation estimation is only employed in the last block. According to the number of block (m) in the dynamic equations of plant to be controlled, m-1 virtual input controllers are designed from the first block to the (m-1)th block, and the proposed robust controller is designed from the last block. Adaptive mechanisms are employed in each of the virtual input controllers as well as the robust controller, so that the least upper bounds of perturbations and perturbation estimation errors are not required. Furthermore, the dynamic equations of the plant do not need to satisfy the block strict feedback form, and the resultant control system can achieve asymptotic stability or uniformly ultimately boundedness. Finally, a numerical example and a practical example are given for demonstrating the feasibility of the proposed control schemes.

Servo control of pneumatic actuators is difficult due to the high compressibility and non-linear flow of air. Friction as well as uncertainties in the parameters and model character-izing dynamics of the pneumatic systems further contribute to control challenges. These drawbacks cause stick-slip motion, larger tracking error and limit cycles, which degrades the control performances. Selection of a controller that satisfies requirements of the per-forming tasks is thus crucial in servo-pneumatic applications. This thesis focuses on the design and experimental evaluation of a model-based, nonlinear controller known as Dy-namical Adaptive Backstepping-Sliding Mode Control (DAB-SMC). Originally designed for chemical process control and applied only in simulations, the DAB-SMC is adopted in this thesis and applied to the new area of servo-pneumatic control of a single-rod, double acting pneumatic cylinder and antagonistic pneumatic artificial muscles (PAMs). The con-troller is further enhanced by augmenting it with LuGre-based friction observers to com-pensate the adverse frictional effect presents in both actuators. Unlike other research works, the actuators are subject to a varying load that influences control operations in two different modes: motion assisting or resisting. The implementation of DAB-SMC for such servo-pneumatic control application is novel. The mass flow rates of compressed air into and out of the actuators are regulated using one of the following valve configurations: a 5/3-way proportional directional valve, two 3/2-way or four 2/2-way Pulse Width Modu-lation (PWM)-controlled valves. Over the entire range of experiments which involve vari-ous operating conditions, the DAB-SMC is observed to track and regulate the reference input trajectories successfully and in a stable manner. Average root mean square error (RMSE) values of tracking for cylinder and PAMs when the compressed air is regulated using the 5/3-way proportional valve are 1.73mm and 0.10°, respectively. In case of regu-lation, the average steady-state error (SSE) values are 0.71mm and 0.04°, respectively. The DAB-SMC exhibits better control performance than the standard PID and classical SMC by at least 33%. The DAB-SMC also demonstrates robustness for up to 78% in un-certainty of load parameter. When the control valve is replaced by the PWM-controlled valves of 3/2-way and 2/2-way configurations, performance is slightly compromised. / May 2016

Based on the Lyapunov stability theorem, a decentralized adaptive backstepping tracking control scheme for a class of perturbed large-scale systems with non-strict feedback form is presented in this thesis to solve tracking problems. First of all, the dynamic equations of the plant to be controlled are transformed into other equations with semi-strict feedback form. Then a decentralized tracking controller is designed based on the backstepping control methodology so that the outputs of controlled system are capable of tracking the desired signals generated from a reference model. In addition, by utilizing adaptive mechanisms embedded in the backstepping controller, one need not acquire the upper bounds of the perturbations and the interconnections in advance. The resultant control scheme is able to guarantee the stability of the whole large-scale systems, and the tracking precision may be adjusted through the design parameters. Finally, one numerical and one practical examples are demonstrated for showing the applicability of the proposed design technique.

Unmanned Aerial Vehicles (UAV) control has become a very important point of scientific study. The control design challenges of a UAV make it one of the most researched areas in modern control applications. This thesis specifically chooses the Quadrotor as the UAV platform. Considering the quadrotor has 4 rotors and 6 degrees of freedom, it is an underactuated system and is dynamically unstable that has to be stabilized by a suitable control algorithm in order to operate autonomously. This thesis focuses on the quaternion representation of the quadrotor system dynamics and develops an adaptive control for its trajectory tracking problem. The control design uses the certainty equivalence principle where adaptive tracking controls are designed separately for each of the translational and rotational subsystems. With this approach, the success of the outer loop translational control relies on the fast convergence of the inner loop rotational control in order to guarantee the system’s stability while achieving the tracking objective. For the translational subsystem in the outer loop, a modified geometric control technique is considered with an adaptive component for the estimation of the uncertain mass of the quadrotor. For the rotational subsystem in the inner loop a backstepping based control design is adopted due to its systematic design and intuitive approach. An adaptive component is further integrated with it to estimate the integrated components of the uncertain Moment of Inertia matrix and other constant parameters in the system dynamics to guarantee the stability of the inner loop system while achieving the tracking objective. Furthermore, a complete backstepping control design methodology is presented which overcomes the issues of certainty equivalence principle where the inner loop needs to execute significantly faster than the outer loop to stabilize the system.

La chirurgie minimalement invasive est un domaine de recherche très actif puisqu’elle permet d’envisagerdes thérapies ciblées et des diagnostics in situ tout en minimisant traumatismes, effets secondaires et tempsde convalescence. En particulier, l’utilisation de systèmes miniaturisés actionnés à distance ouvre la voie àune navigation dans le système cardiovasculaire, permettant ainsi le ciblage et l’intervention sur zones dif-ficilement accessibles du corps humain. L’objectif de cette thèse est de proposer i) un état de l’art sur lamodélisation des forces s’exerçant sur un ou plusieurs microrobots naviguant dans des vaisseaux sanguins,ii) des représentations d’état exploitables à des fins de commande et d’observation, iii) différentes synthèsesde lois de commande pour stabiliser un ou plusieurs microrobots le long d’une trajectoire de référence, iv)des observateurs d’état pour reconstruire les états non mesurables du système. Un microrobot magnétiquenaviguant dans un vaisseau sanguin subit la force de traînée, les forces surfaciques, de contact, d’interactionmagnétique, et son poids apparent. Son actionnement est assuré par l’application de champs ou de gradientsde champ magnétiques, et sa localisation est assurée par un imageur médical. La dynamique du ou desmicrorobots (système réduit) est sous forme d’état non linéaire affine en la commande avec dérive, et dé-pend de plusieurs paramètres physiologiques incertains, en particulier de la vitesse du sang, qui est difficileà mesurer. La dynamique du flux sanguin (système fluidique) est alors modélisée sous forme d’une repré-sentation d’état autonome, combinée avec le système réduit pour aboutir au système étendu. L’objectif decommande est de stabiliser les états du système réduit le long d’une trajectoire de référence. Une commandestabilisante est synthétisée par backstepping, mais elle n’est pas utilisable en l’état. Des observateurs baséssur le théorème de la valeur moyenne et sur une immersion sont synthétisés respectivement dans le cas oùla pulsation cardiaque est connue ou non. La stabilité du retour de sortie est alors démontrée. La stabilitéet la robustesse aux bruits de mesure, aux incertitudes paramétriques, et aux erreurs de modélisation desapproches proposées sont alors illustrées par des simulations. / Minimally invasive surgery is an active research area since such systems have the potential to perform complex surgical procedures such as targeted therapies or in situ diagnosis, while minimizing trauma, side effects and recovery time. Miniaturized systems magnetically propelled by remote actuation can achieve swimming through the blood vessels network in order to provide targeted therapy, even for hard-to-reach human organs. This PhD thesis aims at addressing i) a review on the modeling of microrobots immersed in blood vessels, ii) a classification of the state space forms of such systems, iii) the synthesis of state feedbacks ensuring the stabilization of the microrobots along a reference trajectory, iv) the synthesis of observers to rebuild the unmeasured state variables. Magnetic microrobots swimming in a blood vessel face the hydrodynamic drag, surfacic and contact forces, magnetic interactions, and their apparent weight. These untethered robots are actuated by magnetic fields or magnetic gradients generation, and their localization is ensured by a medical imager. The microrobots dynamics (the so-called reduced system) lead to a nonlinear affine control subsystem with drift, and exhibits many uncertain physiological parameters, such as the blood velocity which can hardly be measured. The blood flow dynamics (the so-called fluidic system) are then modeled as an autonomous subsystem. These two subsystems result in an extended system describing the whole (robot and fluid) dynamics. The control objective is to stabilize the state of the reduced system along a reference trajectory, which is performed by an adaptive backstepping synthesis. Yet the full state is not accessible. We then synthesize either MVT or immersion based observers for the extended system, when the blood pulsation is either known or not. The output feedback stability is then proved. The stability and robustness to output noise, parametric uncertainty, and modeling errors are then illustrated by simulations.

Made available in DSpace on 2015-03-03T15:07:31Z (GMT). No. of bitstreams: 1 KuriosIPMQ.pdf: 875895 bytes, checksum: e5d1081ef123fc325214ccd9a2fee411 (MD5) Previous issue date: 2008-11-20 / Neste trabalho, um controlador adaptativo backstepping a estrutura vari?vel (Variable Structure Adaptive Backstepping Controller, VS-ABC) ? apresentado para plantas monovari?veis, lineares e invariantes no tempo com grau relativo unit?rio. Ao inv?s das tradicionais leis integrais para estima??o dos par?metros da planta, leis chaveadas s?o utilizadas com o objetivo de aumentar a robustez em rela??o a incertezas param?tricas e dist?rbios externos, bem como melhorar o desempenho transit?rio do sistema. Adicionalmente, o projeto do novo controlador ? mais intuitivo quando comparado ao controlador backstepping original, uma vez que os rel?s introduzidos apresentam amplitudes diretamente relacionadas com os par?metros nominais da planta. Esta nova abordagem, com uso de estrutura vari?vel, tamb?m reduz a complexidade das implementa??es pr?ticas, motivando a utiliza??o de componentes industriais, tais como, FPGAs (Field Programmable Gate Arrays ), MCUs (Microcontrollers) e DSPs (Digital Signal Processors). Simula??es preliminares para um sistema inst?vel de primeira e segunda ordem s?o apresentadas de modo a corroborar os estudos. Um dos exemplos de Rohrs ? ainda abordado atrav?s de simula??es, para os dois cen?rios adaptativos: o controlador backstepping adaptativo original e o VS-ABC

Made available in DSpace on 2015-03-03T15:07:34Z (GMT). No. of bitstreams: 1 BrenoMMA_DISSERT.pdf: 2152939 bytes, checksum: 11e98e5a221057a9bd3545dd9b777bb5 (MD5) Previous issue date: 2012-04-12 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior / This research aims at developing a variable structure adaptive backstepping controller (VS-ABC) by using state observers for SISO (Single Input Single Output), linear and time invariant systems with relative degree one. Therefore, the lters were replaced by a Luenberger Adaptive Observer and the control algorithm uses switching laws. The presented simulations compare the controller performance, considering when the state variables are estimated by an observer, with the case that the variables are available for measurement. Even with numerous performance advantages, adaptive backstepping controllers still have very complex algorithms, especially when the system state variables are not measured, since the use of lters on the plant input and output is not something trivial. As an attempt to make the controller design more intuitive, an adaptive observer as an alternative to commonly used K lters can be used. Furthermore, since the states variables are considered known, the controller has a reduction on the dependence of the unknown plant parameters on the design. Also, switching laws could be used in the controller instead of the traditional integral adaptive laws because they improve the system transient performance and increase the robustness against external disturbances in the plant input / Esta pesquisa objetiva desenvolver um controlador adaptativo backstepping a estrutura vari?vel (Variable Structure Adaptive Backstepping Controller, VS-ABC) utilizando observadores de estado para plantas monovari?veis, lineares e invariantes no tempo com grau relativo unit?rio. Para isso, os filtros K foram substitu?dos por um Observador Adaptativo de Luenberger e o algoritmo de controle utiliza leis chaveadas. As simula??es apresentadas comparam o desempenho do controlador quando as vari?veis de estado s?o estimadas por um observador, com o caso em que as vari?veis est?o dispon?veis para medic?o. Os controladores adaptativos backstepping mesmo com v?rias vantagens de desempenho, ainda possuem algoritmos muito complexos, principalmente quando n?o s?o medidas as vari?veis de estado do sistema, pois o uso de filtros nos sinais de entrada e sa?da da planta n?o ? algo trivial. Na inten??o de tornar o projeto do controlador mais intuitivo, pode-se utilizar um observador adaptativo em alternativa aos comumente utilizados filtros K. Al?m disso, o controlador tem uma menor depend?ncia dos par?metros desconhecidos da planta na fase de projeto, ja que as vari?veis de estado s?o consideradas conhecidas. E ainda, leis chaveadas podem ser utilizadas no controlador em vez das leis integrais tradicionais porque melhoram o desempenho transit?rio do sistema e aumentam a robustez perante dist?rbios externos na entrada da planta

Abstract : Over the past three decades, various fields have witnessed a successful application of active magnetic bearing (AMB) systems. Their favorable features include supporting high-speed rotation, low power consumption, and rotor dynamics control. Although their losses are much lower than roller bearings, these losses could limit the operation in some applications such as flywheel energy storage systems and vacuum applications. Many researchers focused their efforts on boosting magnetic bearings energy efficiency via minimizing currents supplied to electromagnetic coils either by a software solution or a hardware solution. According to a previous study, we adopt the hardware solution in this thesis. More specifically, we investigate developing an efficient and yet simple control scheme for regulating a permanent magnet-biased active magnetic bearing system. The control objective here is to suppress the rotor vibrations and reduce the corresponding control currents as possible throughout a wide operating range. Although adopting the hardware approach could achieve an energy-efficient AMB, employing an advanced control scheme could achieve a further reduction in power consumption. Many advanced control techniques have been proposed in the literature to achieve a satisfactory performance. However, the complexity of the majority of control schemes and the potential requirement of powerful platform could discourage their application in practice. The motivation behind this work is to improve the closed-loop performance without the need to do model identification and following the conventional procedure for developing a model-based controller. Here, we propose applying the hybridization concept to exploit the classical PID control and some nonlinear control tools such as first- and second-order sliding mode control, high gain observer, backstepping, and adaptive techniques to develop efficient and practical control schemes. All developed control schemes in this thesis are digitally implemented and validated on the eZdsp F2812 control board. Therefore, the applicability of the proposed model-free techniques for practical application is demonstrated. Furthermore, some of the proposed control schemes successfully achieve a good compromise between the objectives of rotor vibration attenuation and control currents minimization over a wide operating range. / Résumé: Au cours des trois dernières décennies, divers domaines ont connu une application réussie des systèmes de paliers magnétiques actifs (PMA). Leurs caractéristiques favorables comprennent une capacité de rotation à grande vitesse, une faible consommation d'énergie, et le contrôle de la dynamique du rotor. Bien que leurs pertes soient beaucoup plus basses que les roulements à rouleaux, ces pertes pourraient limiter l'opération dans certaines applications telles que les systèmes de stockage d'énergie à volant d'inertie et les applications sous vide. De nombreux chercheurs ont concentré leurs efforts sur le renforcement de l'efficacité énergétique des paliers magnétiques par la minimisation des courants fournis aux bobines électromagnétiques soit par une solution logicielle, soit par une solution matérielle. Selon une étude précédente, nous adoptons la solution matérielle dans cette thèse. Plus précisément, nous étudions le développement d'un système de contrôle efficace et simple pour réguler un système de palier magnétique actif à aimant permanent polarisé. L'objectif de contrôle ici est de supprimer les vibrations du rotor et de réduire les courants de commande correspondants autant que possible tout au long d'une large plage de fonctionnement. Bien que l'adoption de l'approche matérielle pourrait atteindre un PMA économe en énergie, un système de contrôle avancé pourrait parvenir à une réduction supplémentaire de la consommation d'énergie. De nombreuses techniques de contrôle avancées ont été proposées dans la littérature pour obtenir une performance satisfaisante. Cependant, la complexité de la majorité des systèmes de contrôle et l'exigence potentielle d’une plate-forme puissante pourrait décourager leur application dans la pratique. La motivation derrière ce travail est d'améliorer les performances en boucle fermée, sans la nécessité de procéder à l'identification du modèle et en suivant la procédure classique pour développer un contrôleur basé sur un modèle. Ici, nous proposons l'application du concept d'hybridation pour exploiter le contrôle PID classique et certains outils de contrôle non linéaires tels que contrôle par mode glissement du premier et du second ordre, observateur à grand gain, backstepping et techniques adaptatives pour développer des systèmes de contrôle efficaces et pratiques. Tous les systèmes de contrôle développés dans cette thèse sont numériquement mis en oeuvre et évaluées sur la carte de contrôle eZdsp F2812. Par conséquent, l'applicabilité des techniques de modèle libre proposé pour l'application pratique est démontrée. En outre, certains des régimes de contrôle proposés ont réalisé avec succès un bon compromis entre les objectifs au rotor d’atténuation des vibrations et la minimisation des courants de commande sur une grande plage de fonctionnement.

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