动物狂欢节图画

[1]屈云嵐,曹旭陽,王殿龍,等.基于蟻群算法的無人化車間吊物運移路徑規劃研究[J].起重運輸機械,2019,(07):77-81.
 Study on the Path Planning of Hanging Material Transportation for Unmanned Workshop Based on Ant Colony Algorithm[J].,2019,(07):77-81.
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基于蟻群算法的無人化車間吊物運移路徑規劃研究()
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《起重運輸機械》[ISSN:1001-0785/CN:11-1888/TN]

卷:
期數:
2019年07期
頁碼:
77-81
欄目:
分析研究
出版日期:
2019-05-30

文章信息/Info

Title:
Study on the Path Planning of Hanging Material Transportation for Unmanned Workshop Based on Ant Colony Algorithm
文章編號:
1001-0785(2019)
作者:
屈云嵐曹旭陽王殿龍陳敬濤祁鵬劉詩梵
大連理工大學機械工程學院
關鍵詞:
font-size: 9pt text-indent: 0pt">橋式起重機無人化車間路徑規劃蟻群算法
分類號:
TH215
文獻標志碼:
A
摘要:
以橋式起重機的無人化為思想基點,通過研究機器人技術,提出橋式起重機智能運行控制系統的組成方案以及路徑規劃算法。使橋式起重機吊物在最短時間內躲避障礙物、實現由起始點到終止點的無碰撞運行,未來在無人化車間中將會廣泛應用。通過MATLAB的仿真實驗表明,本文提出的基于蟻群算法的橋式起重機路徑規劃算法,對于不規則形狀障礙物以及有特殊要求的路徑規劃,均能夠較好的完成尋優任務。
Abstract:
Taking the unmanned crane as the starting point, this paper puts forward the composition scheme path planning algorithm of intelligent control system for overhead traveling crane by studying robot technology.So that the overhead crane hanging objects in the shortest possible time avoiding obstacles to achieve from the starting point to the end of the collision-free operation, it will be widely used in unmanned workshops in the future.The simulation results of MATLAB show that the path planning algorithm of overhead traveling crane based on ant colony algorithm proposed in this paper can accomplish the optimal tasks well for irregular shape obstacles path planning with special requirements.

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備注/Memo

備注/Memo:
基金項目:國家科技支撐計劃項目(2015BAF06B01)
更新日期/Last Update: 2019-06-04
动物狂欢节图画