Path Planning and Ground Control Station Simulator for UAV

被引:0
|
作者
Ajami, Alain [1 ]
Balmat, Jean-Francois [1 ]
Gauthier, Jean-Paul [2 ]
Maillot, Thibault [1 ]
机构
[1] Univ Toulon & Var, CNRS, UMR 7296, LSIS, Ave Univ, F-83957 La Garde, France
[2] GECO, INRIA TEAM, Palaiseau, France
关键词
FLIGHT;
D O I
暂无
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
In this paper we present a Universal and Interoperable Ground Control Station (UIGCS) simulator for fixed and rotary wing Unmanned Aerial Vehicles (UAVs), and all types of payloads. One of the major constraints is to operate and manage multiple legacy and future UAVs, taking into account the compliance with NATO Combined/Joint Services Operational Environment (STANAG 4586). Another purpose of the station is to assign the UAV a certain degree of autonomy, via autonomous planification/replanification strategies. The paper is organized as follows. In Section 2, we describe the non-linear models of the fixed and rotary wing UAVs that we use in the simulator. In Section 3, we describe the simulator architecture, which is based upon interacting modules programmed independently. This simulator is linked with an open source flight simulator, to simulate the video flow and the moving target in 3D. To conclude this part, we tackle briefly the problem of the Matlab/Simulink software connection (used to model the UAV's dynamic) with the simulation of the virtual environment. Section 5 deals with the control module of a flight path of the UAV. The control system is divided into four distinct hierarchical layers: flight path, navigation controller, autopilot and flight control surfaces controller. In the Section 6, we focus on the trajectory planification/replanification question for fixed wing UAV. Indeed, one of the goals of this work is to increase the autonomy of the UAV. We propose two types of algorithms, based upon 1) the methods of the tangent and 2) an original Lyapunov-type method. These algorithms allow either to join a fixed pattern or to track a moving target. Finally, Section 7 presents simulation results obtained on our simulator, concerning a rather complicated scenario of mission.
引用
收藏
页数:13
相关论文
共 50 条
  • [21] Online Path Planning of Messenger UAV in Air-Ground Collaborative System
    Zhang, Hao
    Xin, Bin
    Ding, Yulong
    PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 5875 - 5880
  • [22] Path Planning for UAV Ground Target Tracking via Deep Reinforcement Learning
    Li, Bohao
    Wu, Yunjie
    IEEE ACCESS, 2020, 8 (29064-29074) : 29064 - 29074
  • [23] Path planning and path tracking control of unmanned ground vehicles (UGVs)
    Weng, LG
    Song, DY
    PROCEEDINGS OF THE THIRTY-SEVENTH SOUTHEASTERN SYMPOSIUM ON SYSTEM THEORY, 2005, : 262 - 266
  • [24] UAV SWARM PATH PLANNING
    James, Scott
    Raheb, Robert
    Hudak, Allison
    2020 INTEGRATED COMMUNICATIONS NAVIGATION AND SURVEILLANCE CONFERENCE (ICNS), 2020,
  • [25] Research On UAV Path Planning
    Zhu Hongguo
    Hai Xin
    Zheng Changwen
    INFORMATION TECHNOLOGY FOR MANUFACTURING SYSTEMS II, PTS 1-3, 2011, 58-60 : 2351 - +
  • [26] Horizontal Polarized DC Grounded Omnidirectional Antenna for UAV Ground Control Station
    Sadiq, Muhammad Shahzad
    Ruan, Cunjun
    Nawaz, Hamza
    Ullah, Shahid
    He, Wenlong
    SENSORS, 2021, 21 (08)
  • [27] Secure Ground Control Station-based Routing Protocol for UAV Networks
    Agron, Danielle Jaye Segui
    Ramli, Muhammad Rusyadi
    Lee, Jae-Min
    Kim, Dong-Seong
    2019 10TH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY CONVERGENCE (ICTC): ICT CONVERGENCE LEADING THE AUTONOMOUS FUTURE, 2019, : 794 - 798
  • [28] Path Planning and Formation Control via Potential Function for UAV Quadrotor
    Rizqi, Ahmad Ataka Awwalur
    Cahyadi, Adha Imam
    Adji, Teguh Bharata
    2014 INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND INTELLIGENT SYSTEMS (ARIS 2014), 2014, : 165 - 170
  • [29] Precedence-constrained path planning of messenger UAV for air-ground coordination
    Ding, Yulong
    Xin, Bin
    Chen, Jie
    CONTROL THEORY AND TECHNOLOGY, 2019, 17 (01) : 13 - 23
  • [30] UAV Path Planning Based on Receding Horizon Control with Adaptive Strategy
    Zhang, Zhe
    Wang, Jun
    Li, Jianxun
    Wang, Xing
    2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2017, : 843 - 847