{"title":"Voronoi-based UAVs Formation Deployment and Reconfiguration using MPC Techniques","authors":"T. Chevet, C. Maniu, C. Vlad, Youmin Zhang","doi":"10.1109/ICUAS.2018.8453342","DOIUrl":"https://doi.org/10.1109/ICUAS.2018.8453342","url":null,"abstract":"This paper presents a decentralized Voronoi-based linear model predictive control (MPC) technique for the deployment and reconfiguration of a multi-agent system composed of unmanned aerial vehicles (UAVs) in a bounded area. At each time instant, this area is partitioned into non-overlapping time-varying Voronoi cells associated to each UAV agent. The formation deployment objective is to drive the agents into a static configuration based on the Chebyshev center of each Voronoi cell. The proposed MPC-based formation reconfiguration algorithms allow not only faulty/non-cooperating agents to leave the formation, but also recovered/healthy agents to join in the current formation, while avoiding collisions. Simulation results validate the effectiveness of the proposed control algorithms.","PeriodicalId":246293,"journal":{"name":"2018 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124250615","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":"ICUAS 2018 Cover Page","authors":"","doi":"10.1109/icuas.2018.8453321","DOIUrl":"https://doi.org/10.1109/icuas.2018.8453321","url":null,"abstract":"","PeriodicalId":246293,"journal":{"name":"2018 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126500200","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}
Oscar Ruiz-Espitia, J. Martínez-Carranza, C. Rascón
{"title":"AIRA-UAS: an Evaluation Corpus for Audio Processing in Unmanned Aerial System","authors":"Oscar Ruiz-Espitia, J. Martínez-Carranza, C. Rascón","doi":"10.1109/ICUAS.2018.8453466","DOIUrl":"https://doi.org/10.1109/ICUAS.2018.8453466","url":null,"abstract":"This paper presents the first version of the AIRA-UAS corpus. It is a set of recordings produced by the ego-noise of an Unmanned Aerial Vehicle (UAV) performing different aerial maneuvers. We also recorded audios produced by other drones flying near the UAV capturing the audio signals on board. The aim of this corpus is to provide an evaluation mechanism for sound source localization and separation algorithms, where the sound data capture process is carried out on board an UAV. We argue that this corpus will be useful for the development of UAV applications focusing on search & rescue operations as well as for detection of unauthorized drone operation. In addition, we also argue that our corpus may prove useful to assess the impact level at which the noise produced by drones affects the welfare of human beings and wildlife.","PeriodicalId":246293,"journal":{"name":"2018 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131805877","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}
Z. J. Chen, J. X. J. Bannwarth, K. Stol, P. Richards
{"title":"Analysis of a Multirotor UAV with Tilted-Rotors for the Purposes of Disturbance Rejection","authors":"Z. J. Chen, J. X. J. Bannwarth, K. Stol, P. Richards","doi":"10.1109/ICUAS.2018.8453383","DOIUrl":"https://doi.org/10.1109/ICUAS.2018.8453383","url":null,"abstract":"The station-keeping performance of multirotor UAVs in a turbulent wind field is of importance for a number of applications where close proximity to objects in the environment is expected. In this work, a tilted-rotor UAV which is able to generate horizontal forces without attitude changes is analysed over a range of wind speeds expected to be encountered in operation. The analysis process integrates aerodynamic models obtained from experimental tests, and compares the magnitude and bandwidth of the horizontal thrust force able to be generated by the tilted-rotor concept against a conventional UAV with rotors oriented along a common axis. It is found that while the tilted-rotor UAV is not able to generate as much thrust in the horizontal plane compared to conventional actuation involving attitude changes, it is able to offer an actuation bandwidth one order of magnitude greater than that of conventional actuation. The synergistic combination of both actuation methods on a single UAV thus has the potential to lead to improved station-keeping performance, while reducing high frequency attitude corrections.","PeriodicalId":246293,"journal":{"name":"2018 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131871662","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}
Lidong Zhang, Lingxia Mu, Zhixiang Liu, Youmin Zhang, J. Ai
{"title":"Automated Maneuvering Decision for UAVs in Forest Surveillance and Fire Detection Missions*","authors":"Lidong Zhang, Lingxia Mu, Zhixiang Liu, Youmin Zhang, J. Ai","doi":"10.1109/ICUAS.2018.8453322","DOIUrl":"https://doi.org/10.1109/ICUAS.2018.8453322","url":null,"abstract":"As a exible, efficient, and powerful platform for a variety of practical applications, the unmanned aerial vehicle (UAV) has attracted increasing attention in the field of forest re monitoring, detection, and tracking in recent years. Generally, more complicated and heavier tasks can be achieved by using a team of UAVs other than a single UAV. However, a possible problem is that faults may occur on a UAV in the formation or the power may gradually run out during the task, so that the disabled UAV must be replaced by a newly assigned UAV from the base. Hence, the problem becomes how to guide the new UAV to join the team in an optimal manner, and then to maintain the formation during the remaining task. Meanwhile, collision avoidance should be involved to avoid hazardous impacts from other formation members during the whole mission. To solve these challenges, an automated maneuvering decision strategy consisting of a tailored scoring function and a game tree decision algorithm is developed in this study. The newly assigned UAV can be guided to join the patrol team from arbitrary initial locations, and the formation can be maintained during the patrol task in the presence of disturbances. Numerical simulations are conducted to validate the proposed decision strategy.","PeriodicalId":246293,"journal":{"name":"2018 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128245548","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}
Jinni Zhou, X. Lyu, Xiaoyu Cai, Zexiang Li, S. Shen, Fu Zhang
{"title":"Frequency domain model identification and loop-shaping controller design for quadrotor tail-sitter VTOL UAVs","authors":"Jinni Zhou, X. Lyu, Xiaoyu Cai, Zexiang Li, S. Shen, Fu Zhang","doi":"10.1109/ICUAS.2018.8453475","DOIUrl":"https://doi.org/10.1109/ICUAS.2018.8453475","url":null,"abstract":"In this paper, we present a practical and systematic method of model identification and controller design for a quadrotor tail-sitter UAV that is susceptible to significant model uncertainty, various flexible modes and complicated aerodynamic damping effect. Flight experiments are designed and carried out to produce a frequency domain model of the aircraft, from which several flexible modes are observed. This system identification method is well suited to the modeling of complex UAV systems, and allows for the rapid update of aircraft models when mechanical changes are made to the aircraft configuration. Besides this, it clearly captures the flexible modes of an aircraft, and enables explicit analysis of them. Guided by this, the controller design, optimization and limitations can be easily seen. Based on the Bode diagram of the identified aircraft model, loop-shaping techniques are applied to design the feedback controllers for all channels (pitch, roll and yaw) of the angular rate loop, and the system stability and robustness are analyzed. We believe that these frequency-domain-based modeling and controller design techniques are promising to qualitatively characterize the aircraft's robustness and performance, as well as to achieve reliable and safe operations of UAVs in actual environments where both model uncertainties and external disturbances often take place. Finally, simulation and experiments are presented to validate the effectiveness of this framework and to show the controller's performance.","PeriodicalId":246293,"journal":{"name":"2018 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128260443","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":"A generalized algorithm for tuning UAS flight controllers*","authors":"Holly J. Wright, Reuben Strydom, M. Srinivasan","doi":"10.1109/ICUAS.2018.8453451","DOIUrl":"https://doi.org/10.1109/ICUAS.2018.8453451","url":null,"abstract":"Proportional, Integral and Derivative (PID) controllers are among the most commonly used control systems throughout industry, and there is an increasing need to tune such controllers effectively and rapidly, especially in varying dynamic conditions. Here we present two versions of a generalized, iterative method for tuning PID controllers: Iterative Root Mean Square Optimization (iRMSE) and Iterative Weighted Root Mean Square Optimization (iWRMSE). The two methods are validated in Matlab and in a virtual environment, as well as in field tests with a quadcopter. The performance of our two methods are compared against five popular methods: Zeigler-Nichols, Cohen-Coon, Lambda, Root Mean Square Error (RMSE) and Integral Square Error (ISE). We find that iWRMSE optimization delivers performance that is better than that obtained using all of the other methods, including manual tuning. Both iRMSE and iWRMSE can be used on a wide range of systems. Due to their iterative nature, they are also likely to be more suitable for systems operating in noisy or variable environments.","PeriodicalId":246293,"journal":{"name":"2018 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124694130","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":"Curvature Continuous Path Generation for UAVs based on Generalized Expo-Rational B-Splines","authors":"T. S. Andersen, Ghada Bouzidi, R. Kristiansen","doi":"10.1109/ICUAS.2018.8453415","DOIUrl":"https://doi.org/10.1109/ICUAS.2018.8453415","url":null,"abstract":"This paper proposes a new path-planning algorithm based on GERBS to generate curvature continuous paths. The algorithm blends between a set of local curves generating a global smooth path which also interpolates the midpoint of the curves. Numerical examples are provided which demonstrates the potential of the proposed algorithm.","PeriodicalId":246293,"journal":{"name":"2018 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121482661","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}
A. M. de Oca, L. Arreola, A. Flores, J. Sanchez, G. Flores
{"title":"Low-cost multispectral imaging system for crop monitoring","authors":"A. M. de Oca, L. Arreola, A. Flores, J. Sanchez, G. Flores","doi":"10.1109/ICUAS.2018.8453426","DOIUrl":"https://doi.org/10.1109/ICUAS.2018.8453426","url":null,"abstract":"This work presents the design and development of a multispectral imaging system to precision agriculture tasks. The imaging system features two small digital cameras controlled by a microcomputer embedded in a drone. One of the cameras has been modified to be sensitive to near-infrared radiation reflected by the vegetation, whereas the other one remains as a common RGB camera. In order to determine the health status of the crop, the Normalized Difference Vegetation Index (NDVI) is computed in a developed software. Once the aerial imagery is obtained by the drone, it is processed to eliminate image distortions and insert specific metadata needed for generating the orthomosaics with the health information of the plant or soil of interest. Finally, the vegetation index will be computed from the visible and near-infrared orthomosaics for a better interpretation of the user. Experiments are presented to show the effectiveness of the system.","PeriodicalId":246293,"journal":{"name":"2018 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"243 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115000219","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}
C. H. John Wang, S. K. Tan, Lynette Koay Jie Ting, Kin Huat Low
{"title":"Impact of Sensors on Collision Risk Prediction for Non-Cooperative Traffic in Terminal Airspace","authors":"C. H. John Wang, S. K. Tan, Lynette Koay Jie Ting, Kin Huat Low","doi":"10.1109/ICUAS.2018.8453424","DOIUrl":"https://doi.org/10.1109/ICUAS.2018.8453424","url":null,"abstract":"The availability of off the shelf, easy to control, unmanned aerial systems (UAS) on the market has led to an increase in report of UAS incursion into terminal airspace. Such incursions often lead to airport shutdowns due to safety concern and could cause a cascading disruption to airline operations throughout the region. A better assessment tool for the collision risk between the existing air traffic and the intruder could help reduce unnecessary disruption to air traffic operations. Work has been done on the assessment of such risk using probabilistic UAS positions prediction based on Monte-Carlo simulations, under the assumption of a non-cooperative intruder with worst-case intention aiming at the flight corridor. Alert areas around the runway and the aircraft flight path could be constructed using the collision prediction method, albeit only valid under specific conditions. The accuracy of the predictions could be further improved with the incorporation of ground-based tracking equipment. This paper looks into how the availability of UAS tracking information could be used to complement the collision prediction algorithm, and how its inclusion affects the collision risk assessment.","PeriodicalId":246293,"journal":{"name":"2018 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129724698","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}