Centralized path planning for multi-aircraft in the presence of static and moving obstacles

被引:0
|
作者
Mirzaei Teshnizi M. [1 ]
Kosari A. [1 ]
Goliaei S. [1 ]
Shakhesi S. [2 ]
机构
[1] Faculty of New Science and Technology, University of Tehran, Tehran
[2] Faculty of Iranian Space Research Center, Tehran
来源
Kosari, A. (kosari_a@ut.ac.ir) | 1600年 / Materials and Energy Research Center卷 / 33期
关键词
Collision Avoidance; Moving Obstacle; Path Planning; Pseudospectral Method; Static Obstacle;
D O I
10.5829/IJE.2020.33.05B.25
中图分类号
学科分类号
摘要
This article proposes a new approach for centralized path planning of multiple aircraft in presence of the obstacle-laden environment under low flying rules. The problem considers as a unified nonlinear constraint optimization problem. The minimum time and control investigate as the cost functions and the maximum velocity and power consider as the constraints. The pseudospectral method applies as a popular and fast direct method to solve the constrained path planning problem. The three-degree-of-freedom nonlinear point mass equations of motion with realistic operational aircraft constraints consider through the simplified mathematical model. The fixed obstacle considers as a combination of spheres with different radius. Also, the moving obstacles consider as a sphere with a known radius and fly at a constant speed. The effectiveness of the proposed concept will be demonstrated by presenting four case studies with a different number of aircraft along with the static and moving obstacles in various scenarios to ensure safe and effective flights. © 2020 Materials and Energy Research Center. All rights reserved.
引用
收藏
页码:923 / 933
页数:10
相关论文
共 50 条
  • [41] Optimized Trajectory Planning for Mobile Robot in the Presence of Moving Obstacles
    Ko, Chun-Hsu
    Young, Kuu-Young
    Hsieh, Yi-Hung
    2015 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS (ICM), 2015, : 70 - 75
  • [42] A Receding Horizon Controller for Motion Planning in the Presence of Moving Obstacles
    Xu, Bin
    Stilwell, Daniel J.
    Kurdila, Andrew J.
    2010 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2010, : 974 - 980
  • [43] Flight Path Optimization Method for Dynamic Area Coverage Based on Multi-aircraft Radars
    Yan J.
    Bai G.
    Huang J.
    Du L.
    Song T.
    Liu H.
    Journal of Radars, 2023, 12 (03) : 541 - 549
  • [44] Path Planning for a UAV with Kinematic Constraints in the presence of Polygonal Obstacles
    Maini, Parikshit
    Sujit, P. B.
    2016 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS), 2016, : 62 - 67
  • [45] A path space approach to nonholonomic motion planning in the presence of obstacles
    Divelbiss, AW
    Wen, JT
    IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 1997, 13 (03): : 443 - 451
  • [46] Efficient Path Planning of Soft Robotic Arms in the Presence of Obstacles
    Fairchild, Preston R.
    Srivastava, Vaibhav
    Tan, Xiaobo
    IFAC PAPERSONLINE, 2021, 54 (20): : 586 - 591
  • [47] Efficient Robot Path Planning in the Presence of Dynamically Expanding Obstacles
    Charalampous, Konstantinos
    Amanatiadis, Angelos
    Gasteratos, Antonios
    CELLULAR AUTOMATA, ACRI 2012, 2012, 7495 : 330 - 339
  • [48] Multi-Objective Optimal Path Planning for Autonomous Robots with Moving Obstacles Avoidance in Dynamic Environments
    Neeraja, Kadari
    Narsimha, G.
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2022, 13 (12) : 201 - 210
  • [49] Collision Avoidance for an Unmanned Aerial Vehicle in the Presence of Static and Moving Obstacles
    Marchidan, Andrei
    Bakolas, Efstathios
    JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2020, 43 (01) : 96 - 110
  • [50] Optimal Path Planning in Environments with Static Obstacles by Harmony Search Algorithm
    Tuba, Eva
    Strumberger, Ivana
    Bacanin, Nebojsa
    Tuba, Milan
    ADVANCES IN HARMONY SEARCH, SOFT COMPUTING AND APPLICATIONS, 2020, 1063 : 186 - 193