Cooperative Control For Multiple Autonomous Uavs Searching For Targets In An Uncertain Environment PDF Download
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| Author | : Matthew D. Flint |
| Publisher | : |
| Total Pages | : |
| Release | : 2002 |
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Download Cooperative Control for Multiple Autonomous UAV's Searching for Targets in an Uncertain Environment Book in PDF, ePub and Kindle
The work presented here is part of a research program being conducted in the area of decision and control for autonomous unmanned aerial vehicles (UAV2s). Speci.cally, the formulation is presented for the problem of generating near-optimal trajectories to follow in order for several UAV2s to cooperatively search for targets in a given area for which some a priori data about target distribution is available. In order to solve this problem, a discrete time decision model is created. The solution based on this model is presented, which utilizes a dynamic programming approach, implemented with a best-.rst search algorithm. This solution predicts the best path for individual vehicles to take under constraints on movement and computational power. A key reduction in computational complexity as compared to the ideal case is made by utilizing a limited look-ahead policy and by modeling other vehicles as stochastic elements. The formulation is .exible enough to respond to additional goals and restrictions, also. A set of simulation studies is provided that shows the utility of this approach. The proposed method is demonstrated against a standard search, and another method that currently exists in the literature.
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| Total Pages | : 13 |
| Release | : 2003 |
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Download Cooperative Control for UAV's Searching Risky Environments For Targets Book in PDF, ePub and Kindle
A software architecture is presented, which introduces several agents which focus on different aspects of path planning for multiple autonomous unmanned aerial vehicles (UAV's) that are searching an uncertain and threatening environment for targets. One agent models threats in the environment. Another develops a model of the environment that allows targets to be defined by individual probability distribution. Lastly, an agent is presented that utilizes the information from the other agents to generate a near optimal path plan using a Dynamic Programming algorithm.
| Author | : Ziyi Wang |
| Publisher | : OAE Publishing Inc. |
| Total Pages | : 27 |
| Release | : 2023-10-28 |
| Genre | : Computers |
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Download Cooperative search for moving targets with the ability to perceive and evade using multiple UAVs Book in PDF, ePub and Kindle
This paper focuses on the problem of regional cooperative search using multiple unmanned aerial vehicles (UAVs) for targets that have the ability to perceive and evade. When UAVs search for moving targets in a mission area, the targets can perceive the positions and flight direction of UAVs within certain limits and take corresponding evasive actions, which makes the search more challenging than traditional search problems. To address this problem, we first define a detailed motion model for such targets and design various search information maps and their update methods to describe the environmental information based on the prediction of moving targets and the search results of UAVs. We then establish a multi-UAV search path planning optimization model based on the model predictive control, which includes various newly designed objective functions of search benefits and costs. We propose a priority-encoded improved genetic algorithm with a fine-adjustment mechanism to solve this model. The simulation results show that the proposed method can effectively improve the cooperative search efficiency, and more targets can be found at a much faster rate compared to traditional search methods.
| Author | : Meiping Wu |
| Publisher | : Springer Nature |
| Total Pages | : 3575 |
| Release | : 2022-03-18 |
| Genre | : Technology & Engineering |
| ISBN | : 9811694923 |
Download Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021) Book in PDF, ePub and Kindle
This book includes original, peer-reviewed research papers from the ICAUS 2021, which offers a unique and interesting platform for scientists, engineers and practitioners throughout the world to present and share their most recent research and innovative ideas. The aim of the ICAUS 2021 is to stimulate researchers active in the areas pertinent to intelligent unmanned systems. The topics covered include but are not limited to Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and Its Application in Unmanned Systems. The papers showcased here share the latest findings on Unmanned Systems, Robotics, Automation, Intelligent Systems, Control Systems, Integrated Networks, Modeling and Simulation. It makes the book a valuable asset for researchers, engineers, and university students alike.
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| Total Pages | : 13 |
| Release | : 2009 |
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Download Cooperative Control of UAVs for Localization of Intermittently Emitting Mobile Targets Book in PDF, ePub and Kindle
Compared with a single platform, cooperative autonomous unmanned aerial vehicles (UAVs) offer efficiency and robustness in performing complex tasks. Focusing on ground mobile targets that intermittently emit radio frequency signals, this paper presents a decentralized control architecture for multiple UAVs, equipped only with rudimentary sensors, to search, detect, and locate targets over large areas. The proposed architecture has in its core a decision logic which governs the state of operation for each UAV based on sensor readings and communicated data. To support the findings, extensive simulation results are presented, focusing primarily on two success measures that the UAVs seek to minimize: overall time to search for a group of targets and the final target localization error achieved. The results of the simulations have provided support for hardware flight tests.
| Author | : Yue Wang |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 167 |
| Release | : 2012-04-02 |
| Genre | : Technology & Engineering |
| ISBN | : 1447129563 |
Download Search and Classification Using Multiple Autonomous Vehicles Book in PDF, ePub and Kindle
Search and Classification Using Multiple Autonomous Vehicles provides a comprehensive study of decision-making strategies for domain search and object classification using multiple autonomous vehicles (MAV) under both deterministic and probabilistic frameworks. It serves as a first discussion of the problem of effective resource allocation using MAV with sensing limitations, i.e., for search and classification missions over large-scale domains, or when there are far more objects to be found and classified than there are autonomous vehicles available. Under such scenarios, search and classification compete for limited sensing resources. This is because search requires vehicle mobility while classification restricts the vehicles to the vicinity of any objects found. The authors develop decision-making strategies to choose between these competing tasks and vehicle-motion-control laws to achieve the proposed management scheme. Deterministic Lyapunov-based, probabilistic Bayesian-based, and risk-based decision-making strategies and sensor-management schemes are created in sequence. Modeling and analysis include rigorous mathematical proofs of the proposed theorems and the practical consideration of limited sensing resources and observation costs. A survey of the well-developed coverage control problem is also provided as a foundation of search algorithms within the overall decision-making strategies. Applications in both underwater sampling and space-situational awareness are investigated in detail. The control strategies proposed in each chapter are followed by illustrative simulation results and analysis. Academic researchers and graduate students from aerospace, robotics, mechanical or electrical engineering backgrounds interested in multi-agent coordination and control, in detection and estimation or in Bayes filtration will find this text of interest.
| Author | : Tal Shima |
| Publisher | : SIAM |
| Total Pages | : 180 |
| Release | : 2009-01-01 |
| Genre | : Mathematics |
| ISBN | : 0898718589 |
Download UAV Cooperative Decision and Control Book in PDF, ePub and Kindle
Unmanned aerial vehicles (UAVs) are increasingly used in military missions because they have the advantages of not placing human life at risk and of lowering operation costs via decreased vehicle weight. These benefits can be fully realized only if UAVs work cooperatively in groups with an efficient exchange of information. This book provides an authoritative reference on cooperative decision and control of UAVs and the means available to solve problems involving them.
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| Release | : 2004 |
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Download Cooperative Unmanned Aerial Vehicle (UAV) Search in Dynamic Environments Using Stochastic Methods Book in PDF, ePub and Kindle
Within this dissertation, the problem of the control of the decentralized path planning decision processes of multiple cooperating autonomous aerial vehicles engaged in search of an uncertain environment is considered. The environment is modeled in a probabilistic fashion, such that both a priori and dynamic information about it can be incorporated. The components of the environment include both target information and threat information. Using the information about the environment, a computationally feasible decision process is formulated that can decide, in a near optimal fashion, which path a searching vehicle should take, using a dynamic programming algorithm with a limited look ahead horizon, with the possibility to extend the horizon using Approximate Dynamic Programming. A planning vehicle must take into account the effects of its (local) actions on meeting global goals. This is accomplished using a passive and predictive cooperation scheme among the vehicles. Lastly, a flexible simulator has been developed, using sound simulation analysis methods, to simulate a UAV search team, which can be used to create statistically valid results demonstrating the effectiveness of the model and solution methods.
| Author | : Sara Pérez Carabaza |
| Publisher | : Springer Nature |
| Total Pages | : 183 |
| Release | : 2021-06-30 |
| Genre | : Technology & Engineering |
| ISBN | : 3030765598 |
Download Multi-UAS Minimum Time Search in Dynamic and Uncertain Environments Book in PDF, ePub and Kindle
This book proposes some novel approaches for finding unmanned aerial vehicle trajectories to reach targets with unknown location in minimum time. At first, it reviews probabilistic search algorithms that have been used for dealing with the minimum time search (MTS) problem, and discusses how metaheuristics, and in particular the ant colony optimization algorithm (ACO), can help to find high-quality solutions with low computational time. Then, it describes two ACO-based approaches to solve the discrete MTS problem and the continuous MTS problem, respectively. In turn, it reports on the evaluation of the ACO-based discrete and continuous approaches to the MTS problem in different simulated scenarios, showing that the methods outperform in most all the cases over other state-of-the-art approaches. In the last part of the thesis, the work of integration of the proposed techniques in the ground control station developed by Airbus to control ATLANTE UAV is reported in detail, providing practical insights into the implementation of these methods for real UAVs.
| Author | : Isaac Kaminer |
| Publisher | : Butterworth-Heinemann |
| Total Pages | : 272 |
| Release | : 2017-08-02 |
| Genre | : Technology & Engineering |
| ISBN | : 012809947X |
Download Time-Critical Cooperative Control of Autonomous Air Vehicles Book in PDF, ePub and Kindle
Time-Critical Cooperative Control of Autonomous Air Vehicles presents, in an easy-to-read style, the latest research conducted in the industry, while also introducing a set of novel ideas that illuminate a new approach to problem-solving. The book is virtually self-contained, giving the reader a complete, integrated presentation of the different concepts, mathematical tools, and control solutions needed to tackle and solve a number of problems concerning time-critical cooperative control of UAVs. By including case studies of fixed-wing and multirotor UAVs, the book effectively broadens the scope of application of the methodologies developed. This theoretical presentation is complemented with the results of flight tests with real UAVs, and is an ideal reference for researchers and practitioners from academia, research labs, commercial companies, government workers, and those in the international aerospace industry. Addresses important topics related to time-critical cooperative control of UAVs Describes solutions to the problems rooted in solid dynamical systems theory Applies the solutions developed to fixed-wing and multirotor UAVs Includes the results of field tests with both classes of UAVs
