Re-optimization strategy for truck crane lift-path planning

被引:20
作者
An, Jianqi [1 ,2 ,4 ]
Wu, Min [1 ,2 ]
She, Jinhua [1 ,2 ,3 ]
Terano, Takao [4 ]
机构
[1] China Univ Geosci, Sch Automat, Wuhan 430074, Hubei, Peoples R China
[2] Hubei Key Lab Adv Control & Intelligent Automat C, Wuhan 430074, Hubei, Peoples R China
[3] Tokyo Univ Technol, Sch Engn, Hachioji, Tokyo 1920982, Japan
[4] Tokyo Inst Technol, Dept Comp Sci, Sch Comp, Yokohama, Kanagawa 2268502, Japan
基金
中国国家自然科学基金; 日本学术振兴会;
关键词
Truck crane; Path planning; Number of operations; Path length; Re-optimization; GENETIC ALGORITHM; ROBOT;
D O I
10.1016/j.autcon.2018.02.029
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
When a truck crane lifts a load, the most important considerations are the safety and efficiency of the lift path; therefore, the objectives in planning a lift path should be the minimization of both the path length and number of operations. Most proposed methods for lift-path planning simply focused on the optimization of the path length. As a result, a planned path may include a large number of operations that makes the path complicated and degrades the safety and efficiency of the lift process. This paper presents a method to optimize the number of operations for a lift path with an optimized length for a truck crane by making the most efficient use of the crane characteristics. First, a conventional search algorithm is used to optimize the length of a lift path. Thereafter, a new operating-path optimization method is presented to reduce the number of points on the planned path based on construction of simple spaces and fundamental operating paths. Simulations produced satisfactory results, demonstrating that this method reduces the number of operations on a short lift path, thereby improving the safety and efficiency.
引用
收藏
页码:146 / 155
页数:10
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