Cooperative navigation technology has become one of the research hotspots for unmanned swarm systems in satellite denial environments, as it enhances the navigation and positioning capabilities of unmanned swarms. Sta...
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Cooperative navigation technology has become one of the research hotspots for unmanned swarm systems in satellite denial environments, as it enhances the navigation and positioning capabilities of unmanned swarms. Starting from the connotation of unmanned swarm systems, this paper summarizes the development of existing navigationtechnologies. Subsequently, it further introduces the current development status of cooperative navigation technology in satellite-denied environments, including cooperative navigation data fusion architecture, navigation and positioning methods in denied environments, and research progress on optimization algorithms for cooperative navigation in unmanned swarm systems. Finally, the paper analyzes and prospects the current problems facing cooperative navigation.
Positioning systems are integral to unmanned Underwater Vehicle (UUV) operation, enabling precise navigation and control in complex underwater environments. This paper comprehensively reviews the key technologies empl...
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Positioning systems are integral to unmanned Underwater Vehicle (UUV) operation, enabling precise navigation and control in complex underwater environments. This paper comprehensively reviews the key technologies employed for UUV positioning, including acoustic systems, inertial navigation, Doppler velocity logs, and GPS when near the surface. These systems are essential for seabed mapping, marine infrastructure inspection, and search and rescue operations. The review highlights recent technological advancements and examines the integration of these systems to enhance accuracy and operational efficiency. It also addresses ongoing challenges, such as communication constraints, environmental variability, and discrepancies between theoretical models and field applications. Future trends in positioning system development are discussed, with a focus on improving reliability and performance in diverse underwater conditions to support the expanding capabilities of UUVs across scientific, commercial, and rescue missions.
In recent years, unmanned aircraft systems (UASs) have played an increasingly significant role in the military and civil fields. The flight control system, as the "hub" of an unmanned aerial vehicle (UAV), i...
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In recent years, unmanned aircraft systems (UASs) have played an increasingly significant role in the military and civil fields. The flight control system, as the "hub" of an unmanned aerial vehicle (UAV), is responsible for the key function of autonomous flight, while a reliable and stable navigation system provides important information such as position status for flight control and represents the "sensory" function of the UAV. A highly autonomous and credible UAV requires a navigation system that meets specific requirements for accuracy, integrity, and continuity, resulting in a multitude of sensors on-board the UAV that are heterogeneous, redundant, and multisource, creating a highly complex navigation system. In this article, we review multisensor fusion (MSF) technology for small UAVs over the last 20 years and provide an overview of three typical multisource fusion architectures based on filtering, factor graph optimization, and data-driven, focusing on inductive identification of key technologies for multisource information fusion state estimation systems, including calibration techniques to improve data quality, observability analysis to provide theoretical support, additional model constraint correction using aircraft, and resilient fusion management techniques across all sources. Finally, we propose future directions for UAS navigationsystems to address the limitations of the existing systems.
This paper deals with the creation of a simplified algorithm of the operation for inertial navigationsystems assigned to unmanned aerial vehicles. The steps of the simplified algorithm are represented in detail. The ...
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Abstract: The processes of ensuring the component composition of a ground-based mobile air traffic control system for unmanned aerial vehicles are examined. The necessity for the integrated implementation of satellite...
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This paper underscores the significance of safety and reliability in the realm of unmanned aerial vehicle (UAV) technologies, and how regulations play a pivotal role in ensuring their responsible use. We have analyzed...
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This paper underscores the significance of safety and reliability in the realm of unmanned aerial vehicle (UAV) technologies, and how regulations play a pivotal role in ensuring their responsible use. We have analyzed safety incidents and trends both in Canada and globally, noting a decline in incidents attributed to enhanced regulations. Our comparative analysis of different UAV technologies identified batteries as the most reliable power supply, Global navigation Satellite System as the most effective navigation system, and light detection and ranging as the optimal optical sensor due to regulatory compliance and system redundancies. We also examined the regulatory framework in Canada, comparing it with the risk-based approach of the European Union Aviation Safety Agency and the efforts of Joint Authorities for Rule-making on unmannedsystems towards global harmonization. Furthermore, we highlighted emerging trends in automation and flight controltechnologies, with a focus on European regulations shaping UAV automation trends. In conclusion, by adhering to best practices from other regulatory bodies, embracing emerging trends, and adopting a risk-based approach, Canada can promote the growth of the UAV industry while ensuring safety and reliability in UAV technologies.
History: Abstract. unmanned aerial vehicles (UAVs) are cutting-edge technologies used for military purposes worldwide at tactical, operational, and strategic levels. This study provides an overview of the history and ...
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History: Abstract. unmanned aerial vehicles (UAVs) are cutting-edge technologies used for military purposes worldwide at tactical, operational, and strategic levels. This study provides an overview of the history and current state of military drones, considering a global and Ecuadorian background. Then, a classification of the UAVs developed and built in Ecuador is conducted based on their endurance, altitude, and wing span to understand the national context and progress. The research also delves into the applications of UAVs in several military operations and missions, aiming to create a framework that aligns UAV capabilities with specific operational needs;this permits the identification of the challenges and opportunities the country faces. unmanned aerial systems have changed the battlefield, and the government needs to adapt to a national strategy that incorporates this technology;this research analyzes and provides insights to improve military capabilities such as exploring modern UAV military applications, technical updates in communication, navigation, and data acquisition systems;and the integration of emerging technologies like smart materials, artificial intelligence, and electric propulsion systems. This study provides valuable insights into the Ecuadorian UAVs that enhance the country's military operations and offer some applications and uses of this technology for national security.
Advanced air mobility, the next evolution in air transportation, emphasizes the crucial need for a high level of automation to enable the coexistence of manned and unmanned aircraft and transform airspace from segrega...
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Advanced air mobility, the next evolution in air transportation, emphasizes the crucial need for a high level of automation to enable the coexistence of manned and unmanned aircraft and transform airspace from segregated to unsegregated, empowering aircraft to manage self-separation and collision avoidance autonomously. This paper introduces a separation assurance and collision avoidance that adopts a unified analytical framework, leveraging both cooperative and non-cooperative sensory data to generate an avoidance volume, considering the performances of navigation and surveillance systems. Expanding upon this system, we address performance issues in data link and vehicle-to-vehicle communication systems, considering delays attributed to human response, negotiation for deconfliction, and command and control communication for unmanned aircraft. We propose methods to enhance communication system performance, including the development of a predictive algorithm that uses piecewise linear regression to predict transmission delays based on network load and the probability of success for packet reception, enabling real-time adjustments to minimize communication delays. We also investigated how the Joint Authorities for Rulemaking on unmannedsystems (JARUS) automation framework can mitigate these communication delays and improve overall system performance. Additionally, we explore alternative communication technologies aimed at reducing position uncertainty arising from these delays. Finally, we present a simulation case study illustrating the impact of different communication technologies on cooperative separation and the minimum separation distance between unmanned Aircraft systems (UAS). The results demonstrate significant reductions in position uncertainty through these enhancements, underscoring their potential to improve safety and efficiency in air transportation.
In order to meet the task requirements of unmanned vehicle swarms, such as complex formation navigation, formation transformation, and formation obstacle avoidance. This paper proposes a navigationcontrol algorithm f...
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This study focuses on detecting and isolation of faults in the inertial navigation system (INS) of an unmanned surface vessel (USV) which parameters are unknown. The INS comprises units for measuring angular and linea...
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ISBN:
(纸本)9798350373981;9798350373974
This study focuses on detecting and isolation of faults in the inertial navigation system (INS) of an unmanned surface vessel (USV) which parameters are unknown. The INS comprises units for measuring angular and linear velocity. The proposed method employs full-order Luenberger observers to construct directional generators of residual signals. To determine the unknown parameters of the USV, Kreisselmeier's dynamic extension of the regressor is applied that assists in maintaining the excitation level of the original regressor. The latter is supplied with an ad-hoc modification resulting in a fixed time convergence of estimation errors to zero. Through simulations, the study demonstrates the effectiveness and reliability of the algorithm in accurately identifying faults in each sensor and the improvement of transients of parameter identification compared to DREM-based estimator.
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