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91	Comparison of control strategies for manipulating a Hydrobatic Autonomous Underwater Vehicle / Jämförelse av kontrollstrategier för att manipulera ett hydrobatiskt autonomt undervattensfordon Panteli, Chariklia January 2021 (has links) This master thesis project is focused on the development of an LQR controller and its comparison with other controllers (PID and MPC), in order to successfully control an Autonomous Underwater Vehicle manipulation system. The modelling of the manipulator was performed first in Matlab and later on in Simulink-Simscape. Once the manipulator was integrated with the AUV model, the LQR controller was also developed initially in Matlab and then in Simulink. The controller was then extracted from Simulink as a C-code and verified in Stonefish. After confirming that the LQR code was working in Stonefish, its results from Simulink were compared with PID and MPC results for two different trajectories. The data for comparison and statistical analysis were divided into the two trajectory scenarios (horizontal and vertical) since the weight matrices of both controllers were different. Looking at the system’s overall behavior the Model Predictive Control (MPC) and LQR had similar results, regarding the rise time, overshoot, steady-state error and robustness to disturbances. An anticipated fact for the MPC was that it takes the longest run time for both scenarios. Lastly, as expected the PID had the worst response of all three controllers, in both scenarios. Implementing a PID on a nonlinear system, produced many oscillations without being able to stabilize at the reference value, thus giving a large steady-state error. In addition, it could not counteract the noise disturbances in the signal. / Detta examensarbete är inriktat på utvecklingen av en LQR-styrenhet och dess jämförelse med andra kontroller (PID och MPC), för att framgångsrikt styra ett autonomt undervattensfordon-manipulationssystem. Modelleringen av manipulatorn utfördes först i Matlab och senare i Simulink-Simscape. När manipulatorn väl hade integrerats med AUV modellen, utvecklades LQR styrenheten också inledningsvis i Matlab och sedan i Simulink. Kontrollenheten extraherades sedan från Simulink som en C-kod och verifierades i Stonefish. Efter att ha bekräftat att LQR koden fungerade i Stonefish, jämfördes resultaten från Simulink med PID och MPC resultat för två olika banor. Data för jämförelse och statistisk analys delades in i de två bana-scenarierna (horisontella och vertikala), eftersom viktmatriserna för båda kontrollerna var olika. När man tittar på systemets övergripande beteende hade Model Predictive Controller (MPC) och LQR liknande resultat när det gäller stigningstid, överskott, steady-state fel och robusthet mot störningar. Ett förväntat faktum för MPC var att det tar den längsta körtiden för båda scenarierna. Slutligen, som väntat, hade PID det sämsta svaret av alla tre kontrollerna, i båda scenarierna. Implementering av ett PID på ett olinjärt system gav många oscillationer utan att kunna stabilisera sig vid referensvärdet, vilket gav ett stort steady-state fel. Dessutom kunde den inte motverka bullerstörningarna i signalen. Autonomous Underwater Vehicle AUV Gripper Manipulator Controlcomparison Linear Quadratic Regulator LQR PID Model Predictive Controller MPC Autonomt undervattensfordon AUV Gripper Manipulator Kontrolljämförelse Linjär kvadratisk regulator LQR PID Modell Predictive Controller MPC Mechanical Engineering Maskinteknik Elektroteknik och elektronik
92	Development of the Subwave ROV and Neural-Inertial Positioning System Farmer, Jason 09 August 2022 (has links) (PDF) This report documents the development of the Subwave, a remotely-operated underwater vehicle (ROV), and an artificial neural network based inertial positioning system. The Subwave uses the open-source ArduSub software framework, commercial-off-the-shelf hardware components, and several custom systems. It is designed as a platform for researching autonomous underwater vehicles (AUVs). The first step for an AUV is navigating waypoints, which requires the AUV to know its global position. Since global navigation satellite systems (GNSSs) are denied underwater, the available underwater positioning systems were surveyed and determined that all the available systems were too large and expensive for the Subwave. It was also discovered that the only consistent underwater positioning method was inertial positioning. So, experimentation began on a small, low-cost system that employs an artificial neural network to predict latitude and longitude using micro-electromechanical system (MEMS) inertial measurement unit (IMU) data as inputs, which would become the Neural-Inertial Positioning System. ROV AUV Underwater Robotics ArduSub GNSS-Denied Navigation Inertial Positioning Inertial Navigation Inertial Dead-Reckoning Neural-Inertial Positioning Signal Processing
93	NPS AUV workbench: collaborative environment for autonomous underwater vehicles (AUV) mission planning and 3D visualization Lee, Chin Siong 03 1900 (has links) Approved for public release, distribution is unlimited / alities. The extensible Markup Language (XML) is used for data storage and message exchange, Extensible 3D (X3D) Graphics for visualization and XML Schema-based Binary Compression (XSBC) for data compression. The AUV Workbench provides an intuitive cross-platform-capable tool with extensibility to provide for future enhancements such as agent-based control, asynchronous reporting and communication, loss-free message compression and built-in support for mission data archiving. This thesis also investigates the Jabber instant messaging protocol, showing its suitability for text and file messaging in a tactical environment. Exemplars show that the XML backbone of this open-source technology can be leveraged to enable both human and agent messaging with improvements over current systems. Integrated Jabber instant messaging support makes the NPS AUV Workbench the first custom application supporting XML Tactical Chat (XTC). Results demonstrate that the AUV Workbench provides a capable testbed for diverse AUV technologies, assisting in the development of traditional single-vehicle operations and agent-based multiple-vehicle methodologies. The flexible design of the Workbench further encourages integration of new extensions to serve operational needs. Exemplars demonstrate how in-mission and post-mission event monitoring by human operators can be achieved via simple web page, standard clients or custom instant messaging client. Finally, the AUV Workbench's potential as a tool in the development of multiple-AUV tactics and doctrine is discussed. / Civilian, Singapore Defence Science and Technology Agency Remote submersibles Computer simulation XML (Document markup language) Information retrieval AUV Workbench Virtual environments Extensible 3D graphics X3D Scalable vector graphics SVG Extensible markup language XML Java DIS-Java-VRML Distributed interactive simulation (DIS)
94	Utilization of forward error correction (FEC) techniques with extensible markup language (XML) schema-based binary compression (XSBC) technology Norbraten, Terry D. 12 1900 (has links) Approved for public release, distribution is unlimited / In order to plug-in current open sourced, open standard Java programming technology into the building blocks of the US Navy's ForceNet, first, stove-piped systems need to be made extensible to other pertinent applications and then a new paradigm of adopting extensible and cross-platform open technologies will begin to bridge gaps with old and new weapons systems. The battle-space picture in real time and with as much detail, or as little detail needed is now a current vital requirement. Access to this information via wireless laptop technology is here now. Transmission of data to increase the resolution of that battle-space snapshot will invariably be through noisy links. Noisy links such as found in the shallow water littoral regions of interest will be where Autonomous Underwater and Unmanned Underwater Vehicles (AUVs/UUVs) are gathering intelligence for the sea warrior in need of that intelligence. The battle-space picture built from data transmitted within these noisy and unpredictable acoustic regions demands efficiency and reliability features abstract to the user. To realize this efficiency Extensible Markup Language (XML) Schema-based Binary Compression (XSBC), in combination with Vandermode-based Forward Error Correction (FEC) erasure codes, offer the qualities of efficient streaming of plain text XML documents in a highly compressed form, and a data self-healing capability should there be loss of data during transmission in unpredictable transmission mediums. Both the XSBC and FEC libraries detailed in this thesis are open sourced Java Application Program Interfaces (APIs) that can be readily adapted for extensible, cross-platform applications that will be enhanced by these desired features to add functional capability to ForceNet for the sea warrior to access on demand, at sea and in real-time. These features will be presented in the Autonomous Underwater Vehicle (AUV) Workbench (AUVW) Java-based application that will become a valuable tool for warriors involved with Undersea Warfare (UW). / Lieutenant, United States Navy Computer simulation XML (Document markup language) Erasure codes Extensible markup language (XML) Forward error correction (FEC)
95	Estudo comparativo de controladores de estrutura variável por modos deslizantes aplicados a veículos subaquáticos autônomos / Comparative study of variavle structures controllers by sliding modes applied to autonomous underwater vehicles Cildoz, Mariana Uzeda 29 August 2014 (has links) Made available in DSpace on 2017-07-10T17:11:48Z (GMT). No. of bitstreams: 1 Dissertacao Mariana Uzeda2.pdf: 3273824 bytes, checksum: cb0d125fc8aae9dfe673029b5f5a30a5 (MD5) Previous issue date: 2014-08-29 / This work presents a comparative study between four different sliding mode variable structure control strategies (SMVSC) applied to autonomous underwater vehicles (AUV) positioning in 6 DOF, under the influence of wind, waves and marine currents. The addressed strategies are the conventional CEV-MD control based on Lyapunov stability, the CEV-MD control based on the equivalent control, the CEV-MD control based on the input-output stability and the CEVMD adaptive control. The accomplished comparisons seek a satisfactory tradeoff between the tracking performance and the closed-loop system stability in light of eliminating the chattering phenomenon. In that sense, the analysis and synthesis of the respective SMVSC control laws is carried out fromthe Lyapunov Stability Theory and the Barbalat s Lemma. As well as numerical simulations are implemented to obtaining the respective performances of each SMVSC control strategy presented. / Este trabalho apresenta um estudo comparativo entre quatro diferentes estratégias de controle de estrutura variável por modos deslizantes (CEV-MD) aplicadas ao posicionamento de veículos subaquáticos autônomos (VSA) em 6 GDL, sob a influência de ventos, ondas e correntes marinhas. As estratégias abordadas são o controle CEV-MD convencional baseado na estabilidade de Lyapunov, o controle CEV-MD baseado no controle equivalente, o controle CEV-MD baseado na estabilidade entrada-saída e o controle CEV-MD adaptativo. As comparações realizadas visam a eliminação do do fenômeno do chattering buscando um compromisso satisfatório entre o desempenho de rastreamento e a estabilidade do sistema em laço fechado. Nesse sentido, a análise e síntese das respectivas leis de controle CEV-MD é realizada a partir da Teoria de Estabilidade de Lyapunov e do Lema de Barbalat. Assim como simulações numéricas são implementadas para a obtenção dos respectivos desempenhos de cada estratégia de controle CEV-MD apresentada. Controle de Estrutura Variável (CEV) Controle por Modos Deslizantes (CMD) controle robusto o problema do Chattering Método da Camada Limite Variable Struture Control(VSC) Sliding Mode Control (SMC) Robust Control Autonomous Underwater Vehicles (AUV) Chattering problem Boudary Layer Method.
96	Simulation hybride pour la coordination de véhicules hétérogènes au sein d'une flottille Parodi, Olivier 18 December 2008 (has links) (PDF) Si l'utilisation d'un véhicule autonome présente un intérêt certain, l'utilisation simultanée de plusieurs robots, potentiellement différents permet d'améliorer la qualité des acquisitions et la rapidité avec lesquelles elles sont effectuées. Le déploiement de plateformes multi-capteurs sous-entend donc qu'il est nécessaire de mettre en œuvre une commande et une stratégie de commande coordonnée de la formation. Les difficultés de localisation et de communication rendent d'emblée la tâche difficile. Dès lors, il n'est plus concevable de mettre en œuvre une flottille d'engins autonomes sans avoir testé au préalable la faisabilité de la mission, le comportement logico-temporel du contrôleur des engins, l'efficacité des algorithmes employés et le bon fonctionnement de tous les sous-systèmes. Ceci est d'autant plus vrai lorsque les engins sont hétérogènes, proviennent d'organisations ou d'institutions différentes et sont rassemblés pour l'accomplissement d'une mission commune.<br />La complexité des architectures de contrôle d'une part et les difficultés soulevées par le choix de stratégies de contrôle multi-véhicules d'autre part, rendent nécessaires la création de nouveaux outils de simulation permettant de tester et valider lois de commande et architectures de contrôle tout en détectant les inconsistances préliminaires des scenarios envisagés. L'objet de cette thèse est donc l'étude d'un outil de simulation collaboratif appelé THETIS.<br />Il s'agit d'un simulateur conçu avant tout pour aborder les problèmes liés au contexte de la flottille. Il est multi-véhicules hétérogènes puisqu'il permet de simuler par exemple, un scenario dans lequel un AUV (Autonomous Underwater Vehicle) et un ASV (Autonomous Surface Vehicle) interviennent simultanément. Les véhicules peuvent communiquer entre eux au sein de la simulation et les contraintes liées au milieu de propagation (interférences, bande passante, atténuation...) d'une part et à l'utilisation de matériel spécifique (temps de réveil, conflit émission/réception...) d'autre part sont prises en compte. L'architecture du simulateur est ouverte pour faciliter l'intégration et la mise à disposition pour tous, du travail de modélisation des différentes équipes possédant des compétences propres, tout en favorisant la réutilisabilité et la modularité de ces modèles. La capacité du système proposé à réaliser des simulations Hardware-In-The-Loop permet de tester et valider le comportement temporel du contrôleur. Par ailleurs ce simulateur est distribué afin de pouvoir étendre dynamiquement la puissance de calcul nécessitée par l'augmentation du nombre de véhicules et/ou la complexification des modèles, tout en respectant les contraintes temps-réel et le découplage temporel entre la commande et l'évolution des modèles dynamiques.<br />THETIS est donc un des seuls outils à l'heure actuelle répondant aux contraintes liées au contexte de la simulation de robots marins en flottille. Nous présentons des tests préliminaires mettant en œuvre un AUV de classe Taipan (développée au LIRMM en France) d'une part et un ASV Charlie (développé par l'ISSIA en Italie) d'autre part qui possèdent des architectures de contrôle différentes, et démontrons ainsi la faisabilité et la validité de notre approche. robotique sous-marine coordination multi-véhicule AUV ASV simulation de communications
97	A COMPREHENSIVE UNDERWATER DOCKING APPROACH THROUGH EFFICIENT DETECTION AND STATION KEEPING WITH LEARNING-BASED TECHNIQUES Jalil Francisco Chavez Galaviz (17435388) 11 December 2023 (has links) <p dir="ltr">The growing movement toward sustainable use of ocean resources is driven by the pressing need to alleviate environmental and human stressors on the planet and its oceans. From monitoring the food web to supporting sustainable fisheries and observing environmental shifts to protect against the effects of climate change, ocean observations significantly impact the Blue Economy. Acknowledging the critical role of Autonomous Underwater Vehicles (AUVs) in achieving persistent ocean exploration, this research addresses challenges focusing on the limited energy and storage capacity of AUVs, introducing a comprehensive underwater docking solution with a specific emphasis on enhancing the terminal homing phase through innovative vision algorithms leveraging neural networks.</p><p dir="ltr">The primary goal of this work is to establish a docking procedure that is failure-tolerant, scalable, and systematically validated across diverse environmental conditions. To fulfill this objective, a robust dock detection mechanism has been developed that ensures the resilience of the docking procedure through \comment{an} improved detection in different challenging environmental conditions. Additionally, the study addresses the prevalent issue of data sparsity in the marine domain by artificially generating data using CycleGAN and Artistic Style Transfer. These approaches effectively provide sufficient data for the docking detection algorithm, improving the localization of the docking station.</p><p dir="ltr">Furthermore, this work introduces methods to compress the learned docking detection model without compromising performance, enhancing the efficiency of the overall system. Alongside these advancements, a station-keeping algorithm is presented, enabling the mobile docking station to maintain position and heading while awaiting the arrival of the AUV. To leverage the sensors onboard and to take advantage of the computational resources to their fullest extent, this research has demonstrated the feasibility of simultaneously learning docking detection and marine wildlife classification through multi-task and transfer learning. This multifaceted approach not only tackles the limitations of AUVs' energy and storage capacity but also contributes to the robustness, scalability, and systematic validation of underwater docking procedures, aligning with the broader goals of sustainable ocean exploration and the blue economy.</p> Autonomous vehicle systems Control engineering Field robotics Marine engineering Marine Robotics Underwater Docking Persistent Autonomy autonomous underwater vehicles (AUV) model predictive controller (MPC) Data Driven System Identification Neural Network Docking Detection Multi-Task Learning Transfer Learning
98	Development of Sensors and Microcontrollers for Underwater Robots Jebelli, Ali January 2014 (has links) Nowadays, small autonomous underwater robots are strongly preferred for remote exploration of unknown and unstructured environments. Such robots allow the exploration and monitoring of underwater environments where a long term underwater presence is required to cover a large area. Furthermore, reducing the robot size, embedding electrical board inside and reducing cost are some of the challenges designers of autonomous underwater robots are facing. As a key device for reliable operation-decision process of autonomous underwater robots, a relatively fast and cost effective controller based on Fuzzy logic and proportional-integral-derivative method is proposed in this thesis. It efficiently models nonlinear system behaviors largely present in robot operation and for which mathematical models are difficult to obtain. To evaluate its response, the fault finding test approach was applied and the response of each task of the robot depicted under different operating conditions. The robot performance while combining all control programs and including sensors was also investigated while the number of program codes and inputs were increased. AUV Autonomous Underwater Vehicles ADC Analog to Digital Converter Cd Drag coefficient of the object DOF Degree of Freedom KT Thrust coefficient Fd Force of drag g Acceleration of gravity h Height of the fluid above the object KQ Torque coefficient mb Buoyant mass NN Neural network P Proportional controller PI Proportional-integral controller PID ρ Density of the fluid Q Torque of the propeller ROV Remotely Operated Vehicles RPM Speed of the motor or propeller SDO Serial data output SMC Sliding mode control Measured thrust T° Temperature v AV Advance speed of the propeller

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