Relevant bibliographies by topics / Distribued control

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Distribued control'

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Published: 4 May 2024

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Journal articles on the topic "Distribued control"

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Nedić, Angelia, and Ji Liu. "Distributed Optimization for Control." Annual Review of Control, Robotics, and Autonomous Systems 1, no. 1 (May 28, 2018): 77–103. http://dx.doi.org/10.1146/annurev-control-060117-105131.

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Advances in wired and wireless technology have necessitated the development of theory, models, and tools to cope with the new challenges posed by large-scale control and optimization problems over networks. The classical optimization methodology works under the premise that all problem data are available to a central entity (a computing agent or node). However, this premise does not apply to large networked systems, where each agent (node) in the network typically has access only to its private local information and has only a local view of the network structure. This review surveys the development of such distributed computational models for time-varying networks. To emphasize the role of the network structure in these approaches, we focus on a simple direct primal (sub)gradient method, but we also provide an overview of other distributed methods for optimization in networks. Applications of the distributed optimization framework to the control of power systems, least squares solutions to linear equations, and model predictive control are also presented.
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ME, E. Sankaran. "Distributed Control Systems in Food Processing." International Journal of Trend in Scientific Research and Development Volume-3, Issue-1 (December 31, 2018): 27–30. http://dx.doi.org/10.31142/ijtsrd18921.

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França, Bruno, Emanuel Emmerik, Juliano Caldeira, and Maurício Aredes. "Sliding Droop Control For Distributed Generation In Microgrids." Eletrônica de Potência 22, no. 4 (December 1, 2017): 429–39. http://dx.doi.org/10.18618/rep.2017.4.2726.

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Sapaty, P. S. "Symbiosis of Distributed Simulation and Control under Spatial Grasp Technology." Mathematical machines and systems 3 (2020): 23–48. http://dx.doi.org/10.34121/1028-9763-2020-3-23-48.

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We are witnessing rapidly growing world dynamics caused by climate change, military, religious and ethnic conflicts, terrorism, refugee flows and weapons proliferation, political and industrial restructuring too. Dealing with frequently emerging crises may need rapid integration of scattered heterogeneous resources into capable operational forces pursuing goals which may not be known in advance. Proper understanding and managing of unpredictable and crisis situations may need their detailed simulation at runtime and even ahead of it. The current paper aims at deep integration, actually symbiosis, of advanced simulation with live system control and management, which can be effectively organized in nationwide and world scale. It will be presenting the latest version of Spatial Grasp Technology (SGT) which is not based on traditional communicating parts or agents, as usual, but rather using self-spreading, self-replicating, and self-modifying higher-level code covering and matching distributed systems at runtime while providing global integrity, goal-orientation, and finding effective solutions. These spatial solutions are often hundreds of times shorter and simpler than with other approaches due to special recursive scenario language hiding traditional system management routines inside its parallel and distributed interpretation. The paper provides basics for deep integration, actually symbiosis, of different worlds allowing us to unite advanced distributed simulation with spatial parallel and fully distributed control, while doing all this within the same high-level and very simple Spatial Grasp formalism and its basic Spatial Grasp Language (SGL). It will also mention various SGT applications including economy, ecology, space research & conquest and security, where effective symbiosis of distributed interactive simulation with live control and management may provide a real breakthrough. SGL can be quickly implemented even within standard university environments by a group of system programmers, similar to its previous versions in different countries under the author’s supervision. The technology can be installed in numerous copies worldwide and deeply integrated with any other systems, actually acquiring unlimited power throughout the world.
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HARAMAKI, Shinya, Akihiro HAYASHI, Toshifumi SATAKE, and Shigeru AOMURA. "Distributed Cooperative Control System for Multi-jointed Redundant Manipulator(Control Theory and Application,Session: MA1-B)." Abstracts of the international conference on advanced mechatronics : toward evolutionary fusion of IT and mechatronics : ICAM 2004.4 (2004): 21. http://dx.doi.org/10.1299/jsmeicam.2004.4.21_2.

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Moreno Navarro, I., E. Martín Candelario, and M. Álvarez Alonso. "Métodos de control en sistemas domóticos: últimas tendencias en sistemas distribuidos." Informes de la Construcción 50, no. 459 (February 28, 1999): 43–53. http://dx.doi.org/10.3989/ic.1999.v50.i459.830.

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Ham, Won K., Yongho Chung, and Sang C. Park. "Distributed System Design for the Control and Evaluation of Engagement Simulations." International Journal of Modeling and Optimization 4, no. 3 (June 2014): 171–75. http://dx.doi.org/10.7763/ijmo.2014.v4.368.

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LUCHIAN, Andrei-Mihai, and Mircea BOȘCOIANU. "DISTRIBUTED COMMUNICATION AND CONTROL FOR MULTIAGENT SYSTEMS: MICROINDUSTRIAL VEHICLE ROTORS (MAV)." SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE 20 (June 18, 2018): 197–202. http://dx.doi.org/10.19062/2247-3173.2018.20.25.

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Borkute, Ruchali, and Nikita Malwar. "Control for Grid Connected and Intentional Islanding of Distributed Power Generation." International Journal of Trend in Scientific Research and Development Volume-3, Issue-4 (June 30, 2019): 333–36. http://dx.doi.org/10.31142/ijtsrd23679.

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Prince, Daryl. "Distributed Control." Mechanical Engineering 121, no. 01 (January 1, 1999): 68–69. http://dx.doi.org/10.1115/1.1999-jan-6.

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This article discusses servo motion systems, which are motion control systems that combine hardware and software, have innumerable applications in compact modules. Some motion controllers operate on multiple platforms and buses, with units providing analog output to a conventional amplifier, as well as units that provide current control and direct pulse width modulation (PWM) output for as many as 32 motors simultaneously. There are amplifiers that still require potentiometers to be adjusted for the digital drives’ position, velocity, and current control. All major value-adding components of motion control systems will soon have to comply with the demands for faster controllers with high-speed multi axis capabilities supplying commands in multitasking applications.
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Dissertations / Theses on the topic "Distribued control"

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Piardi, Artur Bohnen. "Proposta de uma estrutura híbrida de controle para sistemas de excitação de geradores síncronos distribuídos." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/18/18154/tde-19032018-075506/.

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Com o advento da geração distribuída foi permitido aos sistemas de distribuição a possibilidade de operação de forma ilhada dos sistemas interligados de grande porte. Apesar de suas vantagens, do ponto de vista técnico, ainda existe uma série de desafios que necessitam ser superados para a plena aplicação desse conceito. Um desses desafios é definido pela transição dos modos operativos dos geradores distribuídos durante o processo de ilhamento. Da forma em que é reportada na literatura, infere-se que tal transição é realizada de um modo inadequado, amplificando os transitórios observados nas grandezas do gerador distribuído - e por consequência, da rede em que o mesmo se conecta - durante o processo de ilhamento, o que não é desejável. No contexto apresentado, a principal contribuição desta pesquisa está em propor uma estrutura híbrida de controle a ser aplicada aos sistemas de excitação de geradores síncronos que operam em sistemas de distribuição que permitem a operação ilhada de determinadas porções de suas redes. A principal característica da estrutura proposta está em atenuar os transitórios das variáveis do gerador controlado durante o processo de ilhamento. Além disso, o arranjo da estrutura proposta estabelece um compromisso entre a potência reativa e a tensão terminal do gerador controlado, quando o mesmo opera em paralelo com os sistemas interligados de grande porte. Nessa condição, o sistema de controle mantém a potência reativa próxima da referência ajustada atendendo a uma faixa adequada de valores de tensão terminal.
With the advent of distributed generation, the possibility of autonomous operation regarding the bulk power systems was allowed to the distribution systems. Despite its advantages, from the technical point of view, there are lots of challenges that need to be overcome for the full application of this concept. One of these challenges is the transition of distributed generators operating modes during the islanding process. Based in the literature survey, it is inferred that transition is performed in a wrong way, which amplifies the transients in controlled generator quantities and consequently, of the network connected to it during the islanding process, which is undesirable. In this context, the main contribution of this research is the proposal of a hybrid control structure to be applied to the excitation systems of synchronous generators that operate in distribution systems whose islanded operation of determined portions of its grids is permitted. The main characteristic of the proposed structure is the attenuation of transients of the controlled generator quantities during the islanding process. Furthermore, the design of this structure provides a compromise between the generator reactive power and terminal voltage when it operates in parallel with the bulk power systems. That way, the control system maintains the reactive power close to the adjusted reference attending an appropriate range of terminal voltage values.
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Pham, Hoang Anh. "Coordination de systèmes sous-marins autonomes basée sur une méthodologie intégrée dans un environnement Open-source." Electronic Thesis or Diss., Toulon, 2021. http://www.theses.fr/2021TOUL0020.

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Cette thèse étudie la coordination de robots sous-marins autonomes dans le contexte d’exploration de fonds marins côtiers ou d’inspections d’installations. En recherche d’une méthodologie intégrée, nous avons créé un framework qui permet de concevoir et simuler des commandes de robots sous-marins low-cost avec différentes hypothèses de modèle de complexité croissante (linéaire, non-linéaire, et enfin non-linéaire avec des incertitudes). Sur la base de ce framework articulant plusieurs outils, nous avons étudié des algorithmes pour résoudre le problème de la mise en formation d’un essaim, puis celui de l’évitement de collisions entre robots et celui du contournement d’obstacle d’un groupe de robots sous-marins. Plus précisément, nous considérons d'abord les modèles de robot sous-marin comme des systèmes linéaires de type simple intégrateur, à partir duquel nous pouvons construire un contrôleur de mise en formation en utilisant des algorithmes de consensus et d’évitement. Nous élargissons ensuite ces algorithmes pour le modèle dynamique non linéaire d’un robot Bluerov dans un processus de conception itératif. Nous intégrons ensuite un réseau de neurones de type RBF (Radial Basis Function), déjà éprouvé en convergence et stabilité, avec le contrôleur algébrique pour pouvoir estimer et compenser des incertitudes du modèle du robot. Enfin, nous décrivons les tests de ces algorithmes sur un essaim de robots sous-marins réels BlueROV en environement Opensource de type ROS et programmés en mode autonome. Ce travail permet également de convertir un ROV téléopéré en un hybride ROV-AUV autonome. Nous présentons des résultats de simulation et des essais réels en bassin validant les concepts proposés
This thesis studies the coordination of autonomous underwater robots in the context of coastal seabed exploration or facility inspections. Investigating an integrated methodology, we have created a framework to design and simulate low-cost underwater robot controls with different model assumptions of increasing complexity (linear, non-linear, and finally non-linear with uncertainties). By using this framework, we have studied algorithms to solve the problem of formation control, collision avoidance between robots and obstacle avoidance of a group of underwater robots. More precisely, we first consider underwater robot models as linear systems of simple integrator type, from which we can build a formation controller using consensus and avoidance algorithms. We then extend these algorithms for the nonlinear dynamic model of a Bluerov robot in an iterative design process. Then we have integrated a Radial Basis Function neural network, already proven in convergence and stability, with the algebraic controller to estimate and compensate for uncertainties in the robot model. Finally, we have presented simulation results and real basin tests to validate the proposed concepts. This work also aims to convert a remotely operated ROV into an autonomous ROV-AUV hybrid
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Nguyen, Thi Thanh Quynh. "A new approach for distributed programming in smart grids." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAT079.

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Le principal défi du contrôle et de la gestion des réseaux électriques intelligents (Smartgrids) est la quantité de données à traiter. Les techniques classiques centralisées, même si elles offrent l’avantage de facilité de gestion par leur vision globale du réseau, ne supportent pas en pratique la croissance continue des volumes de données (bande passante limitée, goulot d’étranglement, quantité de calculs à assurer, etc.). Le passage à un contrôle et une gestion décentralisée (répartie), où le système est composé d’une multitude d’unités de calcul coopérantes, offre de très bonnes perspectives (robustesse, calcul au plus près des producteurs et consommateurs de données, exploitation de toutes les ressources disponibles), mais reste difficile à mettre en place. En effet, la programmation d’algorithmes distribués nécessite de prendre en compte les échanges de données et la synchronisation des unités participantes, cette complexité augmentant avec le nombre d’unités. Dans cette thèse, nous proposons une approche innovante de programmation de haut niveau d’abstraction masquant ces difficultés.Tout d’abord, nous proposons d’abstraire l’ensemble des unités de calcul du Smartgrid (compteur intelligent, capteurs, concentrateurs de données, etc.) sous forme d’une base de données distribuées. Chaque unité de calcul hébergeant une base de données locale et seules les données nécessaires à la poursuite du calcul sont échangées avec d’autres unités, ce qui diminue l’utilisation de la bande passante disponible. L’utilisation d’un langage de manipulation de données déclaratif simplifiera la programmation des applications de contrôle et de gestion. Nous proposons également SmartLog, un langage à base de règles (basé sur le langage Datalog et ses dérivés) dédié à ces applications. Il facilite la programmation distribuée des applications Smartgrid en réagissant immédiatement à tout changement dans les données.Même avec un langage tel que SmartLog, il est nécessaire de prendre en compte les échanges de données et la synchronisation des participants. C’est pourquoi nous proposons ensuite une approche simplifiant la programmation distribuée. Cette approche, nommée CPDE pour Centralized Programmation and Distributed Execution, consiste en deux étapes : (i) programmer l’application centralisée en SmartLog, car cela est plus facile, et (ii) traduire le programme centralisé en programme distribué en se basant sur la localisation réelle des données. Pour ce faire, nous proposons un algorithme de distribution semi-automatique des règles SmartLog.Afin de démontrer l’intérêt de CPDE, nous avons mené une expérimentation exhaustive en utilisant des applications et des algorithmes réellement utilisés dans les Smartgrids, telles que le contrôle secondaire dans les micro-réseaux isolés ou la régulation de tension équitable. L’expérimentation a été réalisée sur une plate-forme de simulation de réseau électrique temps réel, avec une machine de simulation OPAL-RT, et des un réseau Raspberry-Pi représentant les unités de calcul (leurs performances sont tout à fait comparables aux équipements réels). Cette expérimentation a permis de valider les comportements et les performances des programmes distribués conçus avec CPDE comparativement à leurs versions centralisées en SmartLog et à leurs versions de référence implantés en Java. Nous avons également étudié l’impact de différents paramètres, tels que le nombre d’unités de calcul ou les différentes alternatives de répartition des données
The main challenge of smart grids control and management is the amount of data to be processed. Traditional, centralized techniques, even if they offer the advantage of the ease of management by their global grid vision, do not support in practice the continuous growth of data volumes (limited bandwidth, bottleneck, amount of calculations, etc.). The transition to decentralized(distributed)control and management, where the system is made up of a multitude of co-operating computing units, offers very good prospects (robustness, calculation close to the producers and consumers of data, exploitation of data in all available resources), but remains challenging to implement. In fact, the programming of distributed algorithms requires taking into account the data exchanges and the synchronization of the participating units; this complexity increases with the number of units. In this thesis, we propose an innovative approach of programming of a high level of abstraction masking these difficulties.First, we propose to abstract all Smartgrid computing units (smart meters, sensors, data concentrators, etc.) as a distributed database. Each computing unit hosts a local database and only the data needed to continue the calculation are exchanged with other units, which decreases the use of the available bandwidth. The use of a declarative data handling language will simplify the programming of control and management applications. Besides, we also propose SmartLog, a rule-based language (based on the Datalog language and its derivatives dedicated to these applications. It facilitates distributed programming of Smartgrid applications by immediately responding to any changes in the data.Even with a language such as SmartLog, it is necessary to take into account the data exchange and the synchronization of the participants. This is why we then propose an approach that simplifies distributed programming. This approach, named CPDE for Centralized Programming and Distributed Execution, consists of two steps: (i) programming the centralized application in SmartLog, as this is easier, and (ii) translating the centralized program into a distributed program based on the actual location of the data. To do this, we propose a semi-automatic Smartlog rule distribution algorithm.In order to demonstrate the interest of CPDE, we conducted a comprehensive experiment using applications and algorithms actually used in Smartgrids, such as secondary control in isolated micro-grids or fair voltage regulation. The experiment was carried out on a real-time electrical network simulation platform, with an OPAL-RT simulation machine, and a Raspberry-Pi network representing the computing units (their performances are quite comparable to the real equipment). This experiment allowed validating the behaviours and the performances of the distributed programs conceived with CPDE, and comparing to their centralized versions in SmartLog and their reference versions implanted in Java. The impact of different parameters, such as the number of calculation units or different data distribution alternatives, is studied as well
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Dal, col Laura. "On distributed control analysis and design for Multi-Agent systems subject to limited information." Thesis, Toulouse, INSA, 2016. http://www.theses.fr/2016ISAT0034/document.

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Les systèmes multi-agents sont des systèmes dynamiques composés par plusieurs éléments qui interagissent entre eux. Ces éléments sont appelés agents. Un agent est un système dynamique caractérisé par deux propriétés. La première est que les agents sont autonomes— c’est-à-dire qu’ils ne sont pas dirigés par l’environnement extérieur et ils peuvent évoluer selon un comportement auto-organisé. La seconde est que les agents sont capables de communiquer entre eux pour accomplir des tâches complexes, telles que la coopération, la coordination et la résolution de conflits. L’un des problèmes courants concernant les systèmes multi-agents est la synchronisation. Les agents sont synchronisés lorsque leur évolution dans le temps converge vers une trajectoire commune. Plusieurs applications du monde réel peuvent être conceptualisés comme des problèmes de synchronisation des systèmes multi-agents : par exemple, l’alignement en vitesse ( flocking en anglais), et le contrôle de la formation du mouvement de groupes cohérents. La synchronisation des systèmes multi-agents peut être obtenue grâce à différentes techniques de contrôle. Dans cette thèse nous proposons des méthodes de contrôle centralisées et distribuées pour la synchronisation des systèmes multi-agents. Nous développons des conditions nécessaires et suffisantes pour la synchronisation des systèmes multi-agents, composés par des agents identiques et linéaires qui ne changent pas dans le temps, en utilisant une approche Lyapunov. Ces conditions sont utilisées pour la conception de lois de contrôles distribuées. ensuite, nous étendons les résultats aux systèmes multi-agents soumis à des perturbations externes, assurant un niveau de performance désiré grâce à une technique de contrôle de type 퐻 ∞ . enfin, nous étendons l’analyse aux systèmes multi-agents avec contraintes sur les actionneurs, en utilisant des techniques de contrôle anti-windup. Nous évaluons l’efficacité et les performances des stratégies de contrôle proposées dans plusieurs simulations, dont deux d’entre elles sont inspirées par des applications issues du monde réel. La première est le contrôle du vol en formation d’avions, et la seconde est l’analyse de la transmission de contenus vidéo comme un problème de synchronisation. Nous comparons aussi les résultats obtenus avec des techniques de contrôle alternatives
Multi-agent systems are dynamical systems composed of multiple interacting elements known as agents . Each agent is a dynamical system with two characteristics. First, it is capable of autonomous action—that is, it is able to evolve according to a self-organised behavior, which is not influenced by the external environment. Second, it is able to exchange information with other agents in order to accomplish complex tasks, such as coordination, cooperation, and conflict resolution. One commonly studied problem in multi-agent systems is synchronization. The agents are synchronized when their time evolutions converge to a common trajectory. Many real-world applications, such as flocking and formation control, can be cast as synchronization problems. Agent synchronization can be achieved using different approaches. In this thesis, we propose distributed and centralized control paradigms for the synchronization of multi-agent systems. We develop necessary and sufficient conditions for the synchronization of multi-agent systems, composed by identical linear time-invariant agents, us- ing a Lyapunov-based approach. Then we use these conditions to design distributed synchronization controllers. Then, we extend this result to multi-agent systems subject to external disturbances enforcing disturbance rejection with 퐻 ∞ control techniques. Furthermore, we extend the analysis to multi-agent systems with actuator constraints using LMI-based anti-windup techniques. We test the proposed control design strategies in simulated examples among which two are inspired by real-world applications. In the first, we study airplane formation control as a synchronization problem. In the second, we analyze the delivery of video streams as a synchronization problem and we compare the results to existing controllers
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Rossi, Luís Filipe Fragoso de Barros e. Silva. "Sistema para sensoriamento e controle para aplicações em biomecatrônica." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/3/3140/tde-10052012-121527/.

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Diversos trabalhos relacionados ao desenvolvimento de dispositivos robóticos biomecatrônicos estão sendo realizados em vários laboratórios no mundo. Apesar desta crescente tendência, devido a uma falta de padronização nas tecnologias utilizadas, em especial no sistema de sensoriamento e controle, há uma grande divergência nos sistemas resultantes. De forma a se conseguir atender os requisitos dos projetos, muito tempo é despendido no desenvolvimento de sistemas de sensoriamento e controle dedicados. Dentro deste cenário, neste trabalho foi projetado e implementado um sistema de sensoriamento e controle modular específico para sistemas robóticos. Este foi desenvolvido de forma a poder ser utilizado em diversos projetos reduzindo o esforço para a sua implementação. O referido sistema foi dividido em três módulos: Processador Central, Nós e Rede de Comunicação. Foi dada uma especial atenção no aspecto relacionado à comunicação por ser um fator-chave para se conseguir manter compatibilidade entre diferentes sistemas. Uma rede de comunicação denominada R-Bone foi desenvolvida pelo fato de que os sistemas existentes não atendem aos requisitos propostos. Uma descrição conceitual do sistema projetado é apresentada e a sua implementação detalhada. Todos os aspectos técnicos relevantes foram descritos de forma a facilitar a sua replicação por outros grupos. Um driver para sistema operacional Linux foi desenvolvido em conjunto com uma camada de abstração para simplificar o seu uso. Os testes realizados demonstraram que o sistema desenvolvido atende os requisitos propostos, mantendo uma condição de estabilidade adequada em seu tempo de resposta, baixa latência e pouca defasagem entre os sinais coletados pelos sensores. De forma a contribuir para uma possível padronização dos sistemas utilizados na área, todos os arquivos e informações relevantes para a replicação do sistema proposto foram disponibilizados sob a licença GNU LGPL em um servidor SVN.
Several works related to the development of biomechatronic robotic systems are being taken in several laboratories around the world. Despite this increasing trend, due to a lack of standardization in the used technologies, in special related to the control and sensing system, there is a wide divergence in the resulting system. In order to meet the project requirements, a lot of time is spent in the development of a custom control and sensing system. In this scenario, a modular sensing and control system specifically designed to be used in robotic systems, was designed and implemented. The last was developed in order to be used in several projects, thus reducing the effort spent on its implementation. This system was divided into three modules: Central Processor, Nodes and Communication Network. A special attention was given to the aspects related to the communication as it is the key-factor to keep compatibility among different systems. A communication network named R-Bone was developed, and its implementation was detailed. All the relevant technical aspects were described in order to facilitate its replication by other groups. A driver for the Linux operating system was developed in conjunction with an abstraction layer to simplify its use. The tests demonstrated that the system meets the proposed requirements, keeping a proper stability condition in the response time, low latency and little skew between the signals collected by the sensors. In order to contribute to a possible standardization of the systems used in the biomechatronics field, all the files with relevant information to make possible the replication of the proposed system were made available under the GNU LGPL license in a SVN server.
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Gionfra, Nicolo. "Stratégies de commande distribuée pour l’optimisation de la production des fermes éoliennes." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLC017/document.

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Les travaux de thèse s’intéressent au réglage de la puissance active injectée dans le réseau, ce qui représente aujourd'hui l'une des problématiques principales du pilotage des parcs éoliens participant à la gestion du réseau. Dans le même temps, l'un des buts reste de maximiser la puissance extraite du vent en considérant les effets de couplage aérodynamique entre les éoliennes.La structure du contrôle-commande choisie est de type hiérarchisée et distribuée. Dans la première partie de la thèse, les travaux portent sur la commande de la turbine d'une éolienne autour des points de fonctionnement classiques mais également autour des points à puissance extraite réduite. En fait, cela relève d’une condition de fonctionnement nécessaire pour l'atteinte des objectifs imposés au pilotage d'un parc éolien.Dans la deuxième partie, le problème du contrôle à l'échelle d'un parc est posé sous la forme d'une optimisation distribuée parmi les turbines. Deux nouveaux algorithmes d'optimisation métaheuristique sont proposés et leur performance testée sur différents exemples de parcs éoliens. Les deux algorithmes s'appuient sur la méthode d'optimisation par essaim particulaire, qui est ici modifiée et adaptée pour les cas d'application aux systèmes multi agents. L'architecture de contrôlecommande globale est enfin évaluée en considérant les dynamiques des turbines contrôlées. Les simulations effectuées montrent des gains potentiels significatifs en puissance.Finalement, dans la troisième partie de la thèse, l'introduction d'une nouvelle étape de coopération au niveau des contrôleurs locaux des turbines, par l'utilisation de la technique de contrôle par consensus, permet d'améliorer les performances du système global
In this PhD work we focus on the wind farm (WF) active power control since some of the new set grid requirements of interest can be expressed as specifications on its injection in the electric grid. Besides, one of our main objectives is related to the wind farm power maximization problem under the presence on non-negligible wake effect. The chosen WF control architecture has a two-layer hierarchical distributed structure. First of all, the wind turbine (WT) control is addressed. Here, a nonlinear controller lets a WT work in classic zones of functioning as well as track general deloaded power references. This last feature is a necessary condition to accomplish the WF control specifications. Secondly, the high level WF control problem is formulated as an optimization problem distributed among the WTs. Two novel distributed optimization algorithms are proposed, and their performance tested on different WF examples. Both are based on the well-known particle swarm optimization algorithm, which we modify and extend to be applicable in the multi-agent system framework. Finally, the overall WF control is evaluated by taking into account the WTs controlled dynamics. Simulations show potential significant power gains. Eventually, the introduction of a new control level in the hierarchical structure between the WF optimization and the WTs controllers is proposed. The idea is to let further cooperation among the WT local controllers, via a consensusbased technique, to enhance the overall system performance
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Rawlings, Trevor. "Distributed control architecture." Thesis, Loughborough University, 2009. https://dspace.lboro.ac.uk/2134/6077.

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This document describes the development and testing of a novel Distributed Control Architecture (DCA). The DCA developed during the study is an attempt to turn the components used to construct unmanned vehicles into a network of intelligent devices, connected using standard networking protocols. The architecture exists at both a hardware and software level and provides a communication channel between control modules, actuators and sensors. A single unified mechanism for connecting sensors and actuators to the control software will reduce the technical knowledge required by platform integrators and allow control systems to be rapidly constructed in a Plug and Play manner. DCA uses standard networking hardware to connect components, removing the need for custom communication channels between individual sensors and actuators. The use of a common architecture for the communication between components should make it easier for software to dynamically determine the vehicle s current capabilities and increase the range of processing platforms that can be utilised. Implementations of the architecture currently exist for Microsoft Windows, Windows Mobile 5, Linux and Microchip dsPIC30 microcontrollers. Conceptually, DCA exposes the functionality of each networked device as objects with interfaces and associated methods. Allowing each object to expose multiple interfaces allows for future upgrades without breaking existing code. In addition, the use of common interfaces should help facilitate component reuse, unit testing and make it easier to write generic reusable software.
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Iyer, Ranjit. "Probabilistic distributed control." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1568128211&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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Fabbiano, Ruggero. "Collaborative source-seeking control." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAT038/document.

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Cette dissertation fait face au problème de la localisation de sources, un sujet qui a été largement étudié dans la littérature récente au vu de son grand nombre d'applications. En particulier, ce travail se concentre sur le pilotage de multiples capteurs, capables de prendre des mesures ponctuelles de la quantité émise, vers la source sans faire usage d'aucune information de position, qui se trouve être indisponible dans de nombreux cas pratiques (par exemple, sous l'eau ou dans l'exploration souterraine). En faisant quelques hypothèses sur le processus de diffusion, nous développons un modèle qui permet d'utiliser des outils mathématiques (l'intégrale de Poisson et ses dérivées) pour obtenir une simple approximation du gradient de la fonction décrivant le processus de diffusion, dont la source représente le maximum, ce qui permet d'utiliser l'algorithme du gradient et trouver l'emplacement de la source. Les contributions sont de trois ordres : d'abord, nous utilisons ces outils pour résoudre le problème de la recherche d'une source en deux dimensions à travers d'un contrôle centralisé, où un seul véhicule, équipé de multiples capteurs et sans information de position, se déplace dans un environnement planaire où se trouve une source. Ensuite, nous étendons cette recherche à un cadre en trois dimensions, en considérant un engin volant équipé de capteurs qui se déplace dans l'espace ; pour ce cas plus général, outre la validation par simulations, nous fournissons également une étude théorique des propriétes de convergence de la loi de commande proposée. Enfin, nous abordons le problème de la localisation de source de façon distribuée, compte tenu de plusieurs capteurs autonomes mobiles (en deux dimensions) ; outre le problème de mettre en oeuvre l'algorithme de localisation de source de manière distribuée, nous devons garantir un contrôle de la formation approprié pour assurer l'exactitude de l'estimation du gradient, et donc atteindre la source.}
The dissertation faces the problem of source localisation, a topic which has been extensively studied in recent literature due to its large number of applications. In particular, it focuses on steering multiple sensors, able to take point-wise measurements of the emitted quantity, towards the source without making use of any position information, which happens to be unavailable in many practical cases (for example, underwater or underground exploration). By making some assumptions on the diffusion process, we develop a model which allows us to use some mathematical tools (the Poisson integral and its derivatives) for a simple approximation of the gradient of the function describing the diffusion process, whose source represents its maximum, making it possible to perform a gradient ascent to find the source location. The contributions are threefold: first, we use such tools to solve a 2-dimensional centralised source-seeking problem, where a single vehicle, equipped with multiple sensors and without position information, is moving in a planar environment where a source is supposed to emit. Then, we extend it to a 3-dimensional framework, considering a flying vehicle equipped with sensors moving in the space; for this more general case, in addition to simulation validation, we provide a theoretical study of the convergence properties of the proposed control law. Finally, we tackle the distributed source-localisation problem, considering several autonomous moving sensors (in two dimensions); in addition to the problem of implementing the source-localisation algorithm in a distributed manner, in this latter case we have also to guarantee a suitable formation control, to ensure the correctness of the gradient estimation and hence reach the source
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Reis, Giann Braune. "Estratégia de controle fuzzy para um grupo motor gerador a diesel operando isolado ou conectado à rede de distribuição." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/18/18153/tde-23022015-133705/.

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Esta tese propõe uma estratégia de controle fuzzy para um grupo motor gerador a diesel como uma fonte de geração distribuída, cobrindo a parte mecânica do sistema que é composta por controle de velocidade e de potência ativa, a parte elétrica do sistema composta por controle de tensão e potência reativa, e também o controle de sincronismo com a rede de distribuição. A estratégia de controle foi baseada em lógica fuzzy que usou uma superfície de controle fixa para os controladores fuzzy. Foram investigados os distúrbios causados pelo efeito de conexão com a rede e da conexão de um motor de indução, um retificador não controlado e uma carga RLC. Resultados de simulação para fluxo de potência no modo conectado foram obtidos usando um alimentador padrão IEEE -1547. Os resultados de simulação obtidos para os modos isolado e conectado usando o controlador fuzzy foram superiores comparados aos resultados obtidos com um controlador comercial. Uma bancada experimental também foi usada para analisar a resposta do sistema no modo isolado com o controlador fuzzy proposto e com o controlador comercial para fins de comparação. Nesse contexto, espera-se com este trabalho contribuir para o desenvolvimento de pesquisas na área de controle e processamento de energia, uma vez que, soluções para a produção de energia utilizando a geração distribuída têm importância estratégica e têm sido foco de investimento e discussões por parte de governos, empresas e universidades.
This thesis proposes a control strategy for a diesel generating set as a distributed generation source covering the mechanical part of the system which includes speed and active power control, the electrical part of the system which includes voltage and reactive power control, and also the synchronism control with the grid. The control strategy was based on a fuzzy logic which used a fixed controller surface for the fuzzy controllers. The effect of the disturbances caused by the grid connection and the disturbances caused by the activation of a induction motor, non controled rectifier and a RLC load types were investigated. Power flow simulation results for the grid-connected mode was obtained with a IEEE -1547 standard feeder. The simulations results for both stand-alone and gridconnected operations using fuzzy controllers were superior when compared to commercial methods. An experimental setup was also used to analyze the system responses under isolated mode with the proposed fuzzy controller and with the commercial controllers for comparison proposes. In this context, it is expected that this work contributes to the development of control and energy processing research area, since solutions for energy production using distributed generation have strategic importance and have been the focus of investment and discussions from governments, companies and universities.
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Books on the topic "Distribued control"

1

Guo, Yi. Distributed Cooperative Control. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119216131.

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Héctor, Benítez-Pérez, ed. Reconfigurable distributed control. London: Springer, 2005.

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Benitez-Pérez, Héctor. Reconfigurable distributed control. London, UK: Springer, 2004.

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Li, Zhongkui, Bin Cheng, Weihao Song, and Shiqi Zhang. Distributed Event-triggered Control. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-8170-0.

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Continuous control techniques for distributed control systems. Research Triangle Park, NC: Instrument Society of America, 1989.

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Han, Fei, Zidong Wang, and Hongli Dong. Distributed Filtering, Control and Synchronization. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97075-8.

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Christofides, Panagiotis D., Jinfeng Liu, and David Muñoz de la Peña. Networked and Distributed Predictive Control. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-582-8.

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van Schuppen, Jan H., and Tiziano Villa, eds. Coordination Control of Distributed Systems. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-10407-2.

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Johansson, Rolf, and Anders Rantzer, eds. Distributed Decision Making and Control. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2265-4.

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Anders, Rantzer, and SpringerLink (Online service), eds. Distributed Decision Making and Control. London: Springer London, 2012.

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Book chapters on the topic "Distribued control"

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Cao, Jiannong, Sajal K. Das, Yudong Sun, and Xianbing Wang. "Distributed Control." In Mobile Agents in Networking and Distributed Computing, 189–218. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118135617.ch8.

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Weik, Martin H. "distributed control." In Computer Science and Communications Dictionary, 442. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_5390.

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Loy, Dietmar, Dietmar Dietrich, and Hans-Joerg Schweinzer. "Distributed System." In Open Control Networks, 43–57. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1475-6_2.

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Thomasian, Alexander. "Distributed Databases." In Database Concurrency Control, 111–17. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4757-2473-8_6.

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Grüne, Lars, and Jürgen Pannek. "Distributed NMPC." In Nonlinear Model Predictive Control, 259–95. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46024-6_9.

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Seck, Babacar, and J. Fraser Forbes. "Coordinated, Distributed Plantwide Control." In Plantwide Control, 417–40. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781119968962.ch19.

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Fukuda, Toshio, Isao Takagawa, Kosuke Sekiyama, and Yasuhisa Hasegawa. "Hybrid Approach of Centralized Control and Distributed Control For Flexible Transfer System." In Distributed Manipulation, 65–85. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4545-3_4.

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Huang, Panfeng, and Fan Zhang. "Distributed Deployment Control." In Theory and Applications of Multi-Tethers in Space, 115–49. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0387-0_5.

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Weske, Mathias. "Distributed Concurrency Control." In Encyclopedia of Database Systems, 1–5. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_833-2.

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Weske, Mathias. "Distributed Concurrency Control." In Encyclopedia of Database Systems, 879–83. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_833.

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Conference papers on the topic "Distribued control"

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Edwards, Alec, Jan-Peter Calliess, and Kostas Margellos. "Distributed Optimisation for Energy Management in Building Networks." In 2018 UKACC 12th International Conference on Control (CONTROL). IEEE, 2018. http://dx.doi.org/10.1109/control.2018.8516737.

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Ling, Weifang, Minyou Chen, Zuolin Wei, Feixiong Chen, Lei Yu, and David C. Yu. "A distributed optimal control method for active distribution network." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737568.

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Hernandez, Bernardo, and Paul Trodden. "Distributed model predictive control using a chain of tubes." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737610.

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Qin, Yuanqing, Chunjie Zhou, Shuang-Hua Yang, and Fang Wang. "A distributed newton iteration based localization scheme in underground tunnels." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334743.

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Li, Lulu, Daniel W. C. Ho, and Jianquan Lu. "Distributed practical consensus in multi-agent networks with communication constrains." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334779.

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Elmetennani, Shahrazed, and Taous Meriem Laleg-Kirati. "Fuzzy universal model approximator for distributed solar collector field control." In 2014 UKACC International Conference on Control (CONTROL). IEEE, 2014. http://dx.doi.org/10.1109/control.2014.6915140.

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Song, Wen, Hao Zhang, Huaicheng Yan, and Chen Peng. "Distributed event triggered H∞ filtering with nonhomogeneous Markov switching topologies." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737572.

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Wang, Yan, Shuai Deng, Ying Zhang, Dan Wang, and Yunfei Mu. "Dynamic match optimzation: Emerging control concept of sustainable distributed energy system." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737583.

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Ejegi, E. E., J. A. Rossiter, and P. Trodden. "Distributed model predictive load frequency control of a deregulated power system." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737648.

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Tomic, Ivana, and George D. Halikias. "Performance analysis of distributed control configurations in LQR multi-agent system design." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737530.

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Reports on the topic "Distribued control"

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Morse, A. S. Intelligent Distributed Control. Fort Belvoir, VA: Defense Technical Information Center, August 2012. http://dx.doi.org/10.21236/ada567139.

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Hickey, Jason, John Hauser, and Richard Murray. High Confidence Reconfigurable Distributed Control. Fort Belvoir, VA: Defense Technical Information Center, April 2005. http://dx.doi.org/10.21236/ada435114.

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Hickey, Jason, John Hauser, and Richard Murray. High Confidence Reconfigurable Distributed Control. Fort Belvoir, VA: Defense Technical Information Center, April 2005. http://dx.doi.org/10.21236/ada435174.

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Treado, Stephen J., Steven C. Cook, and Michael Galler. Distributed biometric access control testbed. Gaithersburg, MD: National Institute of Standards and Technology, 2004. http://dx.doi.org/10.6028/nist.ir.7190.

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Subbarao, Krishnappa, Jason C. Fuller, Karanjit Kalsi, Jianming Lian, and Ebony T. Mayhorn. Transactive Control and Coordination of Distributed Assets for Ancillary Services: Controls, Markets and Simulations. Office of Scientific and Technical Information (OSTI), February 2015. http://dx.doi.org/10.2172/1411942.

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Seidman, Thomas I. Control Theory and Distributed Parameter Systems. Fort Belvoir, VA: Defense Technical Information Center, January 1986. http://dx.doi.org/10.21236/ada182808.

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Jajodia, Sushil. Replica Control Algorithms in Distributed Databases. Fort Belvoir, VA: Defense Technical Information Center, July 1993. http://dx.doi.org/10.21236/ada271571.

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Kohn, W., J. B. Remmel, and A. Nerode. Reactive Control of Distributed Interactive Simulations. Fort Belvoir, VA: Defense Technical Information Center, March 1998. http://dx.doi.org/10.21236/ada344363.

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Klevans, E. H. Intelligent distributed control for nuclear power plants. Office of Scientific and Technical Information (OSTI), September 1991. http://dx.doi.org/10.2172/10104980.

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Smith, Randall B., Laurence R. Phillips, Hamilton E. Link, and Laura Weiland. Agent-based control of distributed infrastructure resources. Office of Scientific and Technical Information (OSTI), January 2006. http://dx.doi.org/10.2172/883135.

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