Path Planning of Deep-sea Landing Vehicle Based on Ant Colony Algorithm
GUO Wei1,2, WU Kai1,3, ZHOU Yue3, SUN Hongming1,2, XU Gaofei1, GAO Sen 1
(1.Institute of Deep-sea Science and Engineering,Chinese Academy of Sciences,Sanya 572000,Hainan,China;2.Chinese Academy of Sciences University,Beijing 100049,China;3.College of Engineering Science and Technology,Shanghai Ocean University,Shanghai 201306,China)
GUO Wei, WU Kai, ZHOU Yue, SUN Hongming, XU Gaofei, GAO Sen. Path Planning of Deep-sea Landing Vehicle Based on Ant Colony Algorithm[J]. Acta Armamentarii, 2022, 43(6): 1387-1394.
[1] 蒋新松,封锡盛,王棣棠.水下机器人[M].沈阳:辽宁科学技术出版社,2000. JIANG X S,FENG X S,WANG D T.Unmanned underwater vehicles[M]. Shenyang:Liaoning Science and Technology Press,2000. (in Chinese) [2] 张铁,苏杰汶.基于改进蚁群算法的机器人末端路径排序优化[J].中国机械工程,2016,27(19):2624-2629. ZHANG T,SU J W.Path sorting optimization of robotic end-effector by improved ACA[J].China Mechanical Engineering,2016,27(19):2624-2629.(in Chinese) [3] 胡小兵,黄席樾.基于蚁群算法的三维空间机器人路径规划[J].重庆大学学报,2004,27(8):132-135. HU X B,HUANG X Y. Path planning in 3-D space for robot based on ant colony algorithm[J].Journal of Chongqing University,2004,27(8): 132-135. (in Chinese) [4] 王洪斌,郝策,张平,等.基于A*算法和人工势场法的移动机器人路径规划[J].中国机械工程,2019,30(20): 2489-2496. WANG H B,HAO C,ZHANG P,et al. Path planning of mobile robots based on A* algorithm and artificial potential field algorithm[J].China Mechanical Engineering,2019,30(20):2489-2496. (in Chinese) [5] 刘贵杰,刘鹏,穆为磊,等.采用能耗最优改进蚁群算法的自治水下机器人路径优化[J].西安交通大学学报,2016,50(10):93-98. LIU G J,LIU P,MU W L,et al.A path optimization algorithm for AUV uUsing an improved ant colony algorithm with optimal energy consumption[J].Journal of Xi'an Jiaotong University,2016,50(10): 93-98.(in Chinese) [6] 潘昕,吴旭升,侯新国,等.基于遗传蚂蚁混合算法的AUV全局路径规划[J].华中科技大学学报(自然科学版),2017,45(5): 45-49,76. PAN X,WU X S,HOU X G,et al. Global path planning based on genetic-ant hybrid algorithm for AUV[J].Journal of Huazhong University of Science and Technology (Natural Science Edition),2017,45(5):45-49,76. (in Chinese) [7] 张汝波,李建军,杨玉.基于改进蚁群算法的AUV航路避障任务规划[J].华中科技大学学报(自然科学版),2015,43(增刊1): 428-430. ZHANG R B,LI J J,YANG Y.AUV route planning study for obstacle avoidance task based on improved ant colony algorithm[J].Journal of Huazhong University of Science and Technology (Natural Science Edition),2015,43(S1):428-430.(in Chinese) [8] 张楠楠,姜文刚,窦刚.改进蚁群算法在AUV三维路径规划中的研究[J].计算机工程与应用,2019,55(11): 265-270. ZHANG N N, JIANG W G,DOU G. Research on autonomous underwater vehicle 3D path planning based on improved ant colony algorithm[J].Computer Engineering and Applications,2019,55(11): 265-270. (in Chinese) [9] 田洁,宋军,马本俊,等.中建海底峡谷地貌及沉积特征的分段性[J].地球科学,2021,46(2):708-718. TIAN J,SONG J,MA B J,et al.The segmentation features of geomorphology and sedimentary structure of the Zhongjian Canyon[J].Geoscience,2021,46(2):708-718. (in Chinese) [10] 刘丛舒,丁巍伟,殷绍如,等.南海北部陆坡区海底峡谷地貌、沉积特征及控制因素[J].海洋学研究,2019,37(2):28-43. LIU C S,DING W W,YIN S R,et al. Geomorphology sedimentary characteristics and controlling factors of submarine canyons in the north[J].Journal of Marine Sciences,2019,37(2): 28-43.(in Chinese) [11] 姜康,胡龙.复杂环境下的装配路径求解与优化[J].中国机械工程,2015,26(5):632-636. JIANG K,HU L. Assembly path panning and optimization under complex environments[J].China Mechanical Engineering,2015,26(5):632-636.(in Chinese) [12] 刘可,李可,宿磊,等.基于蚁群算法与参数迁移的机器人三维路径规划方法[J].农业机械学报,2020,51(1):29-36. LIU K,LI K,SU L,et al.Robot 3D path planning method based on ant colony algorithm and parameter transfer[J]. Transactions of the Chinese Society for Agricultural Machinery,2020,51(1):29-36. (in Chinese) [13] 孙洪鸣,郭威,周悦,等.全海深着陆车机构设计及其潜浮运动性能分析[J].机器人,2020,42(2):207-214. SUN H M,GUO W,ZHOU Y,et al. Mechanism design and diving-floating motion performance analysis on the full ocean depth lnding vehicle[J]. Robot,2020,42(2): 207-214. (in Chinese) [14] 帅立国,郑丽媛,费燕琼.轮-履混合式移动机器人爬坡运动研究[J].哈尔滨工程大学学报,2016,37(2):266-270. SHUAI L G,ZHENG L Y,FEI Y Q. Climbing motion of a track-wheel hybrid mobile robot [J].Journal of Harbin Engineering University,2016,37(2):266-270. (in Chinese) [15] 孙功武,苏义鑫,顾轶超,等.基于改进蚁群算法的水面无人艇路径规划[J].控制与决策,2021,36(4):847-856. SUN G W,SU Y X,GU Y C,et al. Path planning for unmanned surface vehicle based on improved ant colony algorithm[J]. Control and Decision,2021,36(4): 847-856. (in Chinese) [16] 王辉,王景良,朱龙彪,等.基于改进蚁群算法的泊车系统路径规划[J].控制工程,2018,25(2):253-258. WANG H,WANG J L,ZHU L B,et al. Path planning of parking system based on improved ant colony algorithm [J]. Control Engineering of China,2018,25(2) :253-258. (in Chinese)