J. Aerosp. Inf. Syst.最新文献

{"title":"Ontology-Based Self-Reconfiguring Guidance, Navigation, and Control for Planetary Rovers","authors":"Guy Burroughes, Yang Gao","doi":"10.2514/1.I010378","DOIUrl":"https://doi.org/10.2514/1.I010378","url":null,"abstract":"Certain limitations exist in autonomous software and guidance, navigation, and control architectures developed for extraterrestrial planetary exploration rovers in regard to fault tolerance, changes in environment, and changes in rover capabilities. To address these limitations, this paper outlines a self-reconfiguring guidance, navigation, and control architecture, using an ontology-based rational agent to enable autonomous reconfiguration of mission goals, software architecture, software components, and the control of hardware components during the run time. This new architecture was evaluated through implementation onboard a rover and tested in challenging, Mars-like environments, both simulated and real world, and was found to be highly reliable, fault tolerant, and adaptable.","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129547038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ground Delay Program Planning Using Markov Decision Processes","authors":"Jonathan Cox, Mykel J. Kochenderfer","doi":"10.2514/1.I010387","DOIUrl":"https://doi.org/10.2514/1.I010387","url":null,"abstract":"This paper compares three approaches for selecting planned airport acceptance rates in the single-airport ground-holding problem: the Ball et al. model, the Richetta–Odoni dynamic model, and an approach based on approximate dynamic programming. Selecting planned airport acceptance rates is motivated by current practice of ground delay program planning under collaborative decision making. The approaches were evaluated using real flight schedules and landing capacity data from Newark Liberty International and San Francisco International Airports. It is shown that planned airport acceptance rates can be determined from the decision variables of the Richetta–Odoni dynamic model. The approximate dynamic programming solution, introduced by the authors, is found by posing a model that evaluates planned airport acceptance as a Markov decision process. The dynamic Richetta–Odoni and approximate dynamic programming approaches were found to produce similar solutions, and both dominated the Ball et al. model. The Ric...","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117135560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Journal of Aerospace Information Systems 2015 Year-End Review","authors":"A. Srivastava","doi":"10.2514/1.I010449","DOIUrl":"https://doi.org/10.2514/1.I010449","url":null,"abstract":"T HE Journal of Aerospace Information Systems (JAIS) recorded strong performance again in 2015. In the period from1October 2014 through 30 September 2015, a total of 170 original and revised manuscripts were received. During that same period, the average time from submission of amanuscript to the first decision was threemonths, and the average time from submission to a final decision was sevenmonths.We published three Special Sections in 2015 covering a diverse set of topics including Uncertainty Quantification, edited by L. Crespo and S. P. Kenny; Aerospace Human–Automation Interaction, edited by K. M. Feigh and M. M. van Passen; and Optimal Decision Making in Aerospace Systems, edited by M. Kochenderfer. We continue to pursue Special Issues in areas within the scope of JAIS to highlight emerging topics in the areas of aerospace information systems. JAIS is fortunate to have the dedicated and timely support of its Associate Editors and Editorial Staff. I am pleased to announce the reappointment of the following team as Associate Editors: Ella M. Atkins, University of Michigan; Arindam Banerjee, University of Minnesota; Guillaume P. Brat, NASA Ames Research Center; Misty Davies, NASA Ames Research Center; Jonathan How, Massachusetts Institute of Technology; and EytanModiano,Massachusetts Institute of Technology.We are also fortunate to have added Karen Feigh fromGeorgia Institute of Technology and Mykel Kochenderfer from Stanford University as Associate Editors for JAIS. It is a pleasure toworkwith a broad team of top researchers on this journal alongwith a highly effective editorial staff. Cheryl Shanks andTeresa York have provided timely and consistent editorial support for the journal and continue to contribute to its success. In addition, I’d like to thank Frank Lu, Vice President of Publications; Heather Brennan, Director of Publications; and Craig Byl, Manager for Editorial and Production. The Editorial Advisory Board is composed of the following outstanding individuals in their respective fields: Stephen Boyd, Stanford University; FuKuo Chang, Stanford University; Eric Feron, Georgia Institute of Technology; Kalmanje Krishna Kumar, NASA; Jiawei Han, University of Illinois; R. John Hansman, Massachusetts Institute of Technology; Paul D. Nielsen, Software Engineering Institute; Amy Pritchett, Georgia Institute of Technology; and John Tracy, The Boeing Company. As a new journal in an emerging field, we continue to rely on the community to submit high-quality research papers and the reviewers for their timely submission of detailed reviews of the papers. We are interested in highlighting special topics in aerospace information systems and welcome suggestions for topics.","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126455113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Information Security in Future Air Traffic Management Systems","authors":"Enrique Casado, Rosa Rodríguez, Pedro Taboso, Javier García","doi":"10.2514/1.I010233","DOIUrl":"https://doi.org/10.2514/1.I010233","url":null,"abstract":"The detection, identification, and evaluation of vulnerable areas mark the cornerstone of the analysis that is required to improve the security of both current and future air traffic management systems. These three functions evolved from the use of new technologies in the communication, navigation, and surveillance infrastructure and in the new generation of aircraft. This analysis includes the identification of the assets, which are understood to be things of value or things to protect from potential threats. In the future context, an infrastructure for information sharing will be deployed to enable robust data exchange among air traffic management stakeholders. Information will become a major asset to be protected. This paper aims at presenting the future air traffic management environment by analyzing the impact of intended attacks on flight and surveillance information and how the effects are propagated throughout the whole system. For illustration purposes, some potential scenarios are described in o...","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134342750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cooperative Task Allocation for Unmanned Vehicles with Communication Delays and Conflict Resolution","authors":"Eloy García, D. Casbeer","doi":"10.2514/1.I010218","DOIUrl":"https://doi.org/10.2514/1.I010218","url":null,"abstract":"This paper presents a framework for multi-agent cooperative decision making under communication constraints. Piece-wise optimal decentralized allocation of tasks for a group of unmanned aerial vehicles is considered. Each vehicle estimates the position of all teammates in order to assign tasks based on these estimates, and it also implements event-based broadcasting strategies that allow the group of agents to use communication resources more efficiently. The agents implement a simple decentralized auction scheme in order to resolve possible conflicts. This framework is extended to re-plan assignments when a sequence of tasks is disrupted by wind disturbance. Further, the effects of wind disturbance are also included in the task assignment process by assuming a fixed steady wind value. The overall framework provides a robust and communication-efficient approach for decentralized task allocation in the presence of communication constraints and external uncertainties.","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134634881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unmanned Aircraft System Navigation in the Urban Environment: A Systems Analysis","authors":"Justin R. Rufa, E. Atkins","doi":"10.2514/1.I010280","DOIUrl":"https://doi.org/10.2514/1.I010280","url":null,"abstract":"Unmanned aircraft system navigation in urban environments requires consideration of which combination of sensors can provide the most accurate navigation results in a dynamically changing environment. The traditional Global Positioning System, although useful in open spaces, degrades severely when in urban canyons requiring other complementary sensors to provide position and velocity measurements when necessary. One well-known solution is vision-based sensors that provide measurements through optical flow. Another possibility is the long-term evolution network that is currently used for cellular voice and data transmission as well, as coarse Global-Positioning-System-independent navigation. This paper reviews sensor accuracy and availability as a function of environment characteristics. A simulation framework integrates these different types of sensors to allow for efficient high-level testing of sensor combinations and fusion algorithms. Results show that long-term evolution slightly improves position ac...","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"236 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127046841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization of Multiple-Rendezvous Low-Thrust Missions on General-Purpose Graphics Processing Units","authors":"M. Massari, A. Wittig","doi":"10.2514/1.I010390","DOIUrl":"https://doi.org/10.2514/1.I010390","url":null,"abstract":"A massively parallel method for the identification of optimal sequences of targets in multiple-rendezvous low-thrust missions is presented. Given a list of possible targets, a global search of sequences compatible with the mission requirements is performed. To estimate the feasibility of each transfer, a heuristic model based on Lambert’s transfers is evaluated in parallel for each target, making use of commonly available general-purpose graphics processing units such as the Nvidia Tesla cards. The resulting sequences are ranked by user-specified criteria such as length or fuel consumption. The resulting preliminary sequences are then optimized to a full low-thrust trajectory using classical methods for each leg. The performance of the method is discussed as a function of various parameters of the algorithm. The efficiency of the general-purpose graphics processing unit implementation is demonstrated by comparing it with a traditional CPU-based branch-and-bound method. Finally, the algorithm is used to co...","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124890232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing Dual-Sensor Enhanced Flight Vision Systems to Enable Equivalent Visual Operations","authors":"L. Kramer, T. Etherington, K. Severance, R. Bailey, Steven P. Williams, S. Harrison","doi":"10.2514/1.I010492","DOIUrl":"https://doi.org/10.2514/1.I010492","url":null,"abstract":"Flight deck-based vision system technologies, such as Synthetic Vision (SV) and Enhanced Flight Vision Systems (EFVS), may serve as a revolutionary crew/vehicle interface enabling technologies to meet the challenges of the Next Generation Air Transportation System Equivalent Visual Operations (EVO) concept - that is, the ability to achieve the safety of current-day Visual Flight Rules (VFR) operations and maintain the operational tempos of VFR irrespective of the weather and visibility conditions. One significant challenge lies in the definition of required equipage on the aircraft and on the airport to enable the EVO concept objective. A motion-base simulator experiment was conducted to evaluate the operational feasibility, pilot workload and pilot acceptability of conducting straight-in instrument approaches with published vertical guidance to landing, touchdown, and rollout to a safe taxi speed in visibility as low as 300 ft runway visual range by use of onboard vision system technologies on a Head-Up Display (HUD) without need or reliance on natural vision. Twelve crews evaluated two methods of combining dual sensor (millimeter wave radar and forward looking infrared) EFVS imagery on pilot-flying and pilot-monitoring HUDs as they made approaches to runways with and without touchdown zone and centerline lights. In addition, the impact of adding SV to the dual sensor EFVS imagery on crew flight performance, workload, and situation awareness during extremely low visibility approach and landing operations was assessed. Results indicate that all EFVS concepts flown resulted in excellent approach path tracking and touchdown performance without any workload penalty. Adding SV imagery to EFVS concepts provided situation awareness improvements but no discernible improvements in flight path maintenance.","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132564549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multiplicative Extended Kalman Filter for Relative Rotorcraft Navigation","authors":"R. Leishman, T. McLain","doi":"10.2514/1.I010236","DOIUrl":"https://doi.org/10.2514/1.I010236","url":null,"abstract":"This paper details the fundamentals of a new approach to navigation for aerial vehicles in confined indoor environments without access to global-position measurements. The approach departs from the common practice of navigating within a globally referenced map, and it instead keeps the position and yaw states relative to the current node in the map. The approach combines elements of graph-based simultaneous localization and mapping with a multiplicative extended Kalman filter. The filter provides accurate state estimates at a fast rate and provides the information necessary for a simultaneous localization and mapping algorithm to maintain a pose graph. Specific details for the relative multiplicative extended Kalman filter are provided. The relative estimation approach is validated with hardware flight tests, and results are compared to motion capture ground truth data. In addition, flight-test results using estimates in the control loop are provided.","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131724247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Introduction to the Special Issue on Optimal Decision Making in Aerospace Systems","authors":"Mykel J. Kochenderfer","doi":"10.2514/1.I010407","DOIUrl":"https://doi.org/10.2514/1.I010407","url":null,"abstract":"","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"170 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117273118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}