{"title":"Retrospective Cost Adaptive Control of Generic Transport Model Under Uncertainty and Failure","authors":"Ahmad Ansari, D. Bernstein","doi":"10.2514/1.I010454","DOIUrl":"https://doi.org/10.2514/1.I010454","url":null,"abstract":"This paper presents a case study on the application of retrospective cost adaptive control to the NASA generic transport model under conditions of uncertainty and failure. To apply retrospective cost adaptive control to the generic transport model, a collection of control architectures is defined, where each architecture has a decentralized adaptation structure in the sense that a performance (error) variable is assigned to each control channel for online decentralized adaptation. Sensor signals may be shared among the channels to account for channel coupling. Then, a series of cases that examine the performance of retrospective cost adaptive control under various conditions is considered, including trim finding, startup, unknown time-varying aircraft dynamics (such as icing and mass variation), unknown flight envelope (including the possibility of conflicting commands), known sensing constraints (a failed air data system), known actuation constraints (requiring differential thrust), unknown sensor failur...","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127799039","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":"Comparative Analysis of Present and Future Space-Grade Processors with Device Metrics","authors":"Tyler M. Lovelly, A. George","doi":"10.2514/1.I010472","DOIUrl":"https://doi.org/10.2514/1.I010472","url":null,"abstract":"Due to harsh and inaccessible operating environments, space computing presents many unique challenges and constraints that limit onboard computing performance. However, the increasing need for real...","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116966507","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}
S. Sankari, P. S. Kumar, C. Geethaikrishnan, R. V. Nair
{"title":"Ontology for Launch Vehicle Mission Simulation","authors":"S. Sankari, P. S. Kumar, C. Geethaikrishnan, R. V. Nair","doi":"10.2514/1.I010468","DOIUrl":"https://doi.org/10.2514/1.I010468","url":null,"abstract":"","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126436486","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":"Hybrid Interpreting Framework of the Unified Scheduling Language","authors":"Jinjiang Xing, Hua Zhu, Xuemei Zou","doi":"10.2514/1.I010509","DOIUrl":"https://doi.org/10.2514/1.I010509","url":null,"abstract":"The unified scheduling language is a Chinese domain-specific language with both programming and natural language features for space mission scheduling. To create a functional and yet simple languag...","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121468457","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":"Monotone Optimal Threshold Feedback Policy for Sequential Weapon Target Assignment","authors":"K. Krishnamoorthy, D. Casbeer, M. Pachter","doi":"10.2514/1.I010501","DOIUrl":"https://doi.org/10.2514/1.I010501","url":null,"abstract":"T HEoperational scenario is the following.A bomberwith identical weapons travels along a designated route/path and sequentially encounters enemy (ground) targets. Should the bomber decide to engage a target, the target will be destroyed with a probability of p < 1. Upon successful elimination, the bomber receives a positive reward r drawn from a fixed known distribution.We stipulate that, before engagement, the bomber observes the target and is made aware of the reward r. Furthermore, upon releasing a weapon, the bomber is alerted as to whether or not the deployedweaponwas successful. In other words, we employ a shoot–look–shoot policy. If the target is destroyed, the bombermoves on to the next target. On the other hand, if the target was not destroyed, the bomber can either reengage the current target or move on to the next target in the sequence. The optimal closed-loop control policy that results in the maximal expected cumulative reward is obtained via stochastic dynamic programming. Not surprisingly, a weapon is dropped on a target if, and only if, the observed reward is no less than a stageand state-dependent threshold value.We show that the threshold value, as a function, ismonotonic decreasing in the number ofweapons andmonotonic nondecreasing in the number of targets left to be engaged.","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"20 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120845909","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":"Energy-Aware Multiflight Planning for an Unattended Seaplane: Flying Fish","authors":"R. Eubank, Justin M. Bradley, E. Atkins","doi":"10.2514/1.I010484","DOIUrl":"https://doi.org/10.2514/1.I010484","url":null,"abstract":"Long-term unmanned vehicle operation requires autonomy capable of replanning activities responsive to changing vehicle and environment conditions. For unmanned aircraft systems, human handlers perf...","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124671615","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":"Adaptive Disturbance Torque Estimation for Orbiting Spacecraft Using Recursive Least-Squares Methods","authors":"S. Swei, N. Nguyen","doi":"10.2514/1.I010480","DOIUrl":"https://doi.org/10.2514/1.I010480","url":null,"abstract":"This paper develops a novel disturbance torque estimator for an orbiting spacecraft by using the adaptive least-squares parameter estimation technique. The disturbance estimation is first formulated as an adaptive least-squares minimization problem using a set of polynomial functions and then integrated with the feedback momentum estimator. The covariance update law with a variable forgetting factor is used, and it is shown that the convergent rate for estimation errors can be made at the same level as the forgetting factor. The proposed approach is particularly suited for orbiting small or microsatellite applications, where the momentum management capacity is often limited. The onboard estimated disturbance torque input can then be used as a part of control resource for spacecraft momentum management. The simulation results demonstrate the efficacy of the proposed concept.","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121063640","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}
Luke B. Johnson, Han-Lim Choi, Sameera S. Ponda, J. How
{"title":"Decentralized Task Allocation Using Local Information Consistency Assumptions","authors":"Luke B. Johnson, Han-Lim Choi, Sameera S. Ponda, J. How","doi":"10.2514/1.I010461","DOIUrl":"https://doi.org/10.2514/1.I010461","url":null,"abstract":"The information available to agents using decentralized task allocation algorithms plays an important role in how assignments can be constructed. The requirement that information be globally consis...","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122922884","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":"Comparison of Three Approaches to Atmospheric Source Localization","authors":"Hossam M. Abdelghaffar, C. Woolsey, H. Rakha","doi":"10.2514/1.I010440","DOIUrl":"https://doi.org/10.2514/1.I010440","url":null,"abstract":"The paper describes three methods for finding the source of an airborne contaminant in a turbulent wind field. We assume that an unmanned aircraft samples the atmosphere at a constant altitude within the planetary boundary layer, measuring the contaminant concentration. The turbulent wind field is generated using the openly available software TurbSim. A concentration field, or plume, is created by advection and diffusion of the contaminant from its source. The plume is modeled using a filament-based method proposed in the literature. The unmanned aircraft is assumed to sample the concentration field quickly, relative to the plume dynamics; once the plume has matured, the concentration is fixed and the sampling strategy is executed. A recursive Bayesian estimation approach is compared with a gradient descent algorithm and an extended Kalman filter. By comparison, Bayesian estimation requires relatively weak modeling assumptions, and simulation results suggest this approach is less sensitive to error in the...","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129991107","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}
E. Robinson, H. Balakrishnan, M. Abramson, S. Kolitz
{"title":"Optimized Stochastic Coordinated Planning of Asynchronous Air and Space Assets","authors":"E. Robinson, H. Balakrishnan, M. Abramson, S. Kolitz","doi":"10.2514/1.I010415","DOIUrl":"https://doi.org/10.2514/1.I010415","url":null,"abstract":"There are many organizations that use satellites and drones to collect information, such as ground photographs or atmospheric pressure measurements. Often, these separate organizations have overlap...","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125560653","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}