Optimal control of cobalt crust seabedmining parameters based on simulated annealing genetic algorithm

作     者：夏毅敏 张刚强 聂四军 卜英勇 张振华 

作者机构：School of Mechanical and Electrical EngineeringCentral South University Guangxi Liugong Machinery Co.Ltd 

基　　金：Project(50875265) supported by the National Natural Science Foundation of China Project(20080440992) supported by the Postdoctoral Science Foundation of China Project(2009SK3159) supported by the Technology Support Plan of Hunan Province,China 

出 版 物：《中南大学学报：英文版》 (JOURNAL OF CENTRAL SOUTH UNIVERSITY OF TECHNOLOGY(ENGLISH EDITION))

年 卷 期：2011年第18卷第3期

页      码：650-657页

摘      要：Under the condition of the designated collection ratio and the interfused ratio of mullock,to ensure the least energy consumption,the parameters of collecting head (the feed speed,the axes height of collecting head,and the rotate speed) are chosen as the optimized *** to the force on the cutting pick,the collecting size of the cobalt crust and bedrock and the optimized energy consumption of the collecting head,the optimized design model of collecting head is *** two hundred groups seabed microtopography for grand in the range of depth displacement from 4.5 to 5.5 cm,then making use of the improved simulated annealing genetic algorithm (SAGA),the corresponding optimized result can be *** the same time,in order to speed up the controlling of collecting head,the optimization results are analyzed using the regression analysis method,and the conclusion of the second parameter of the seabed microtopography is drawn.

主 题 词：模拟退火遗传算法 海底采矿 最优控制 钴结壳 优化参数 优化设计模型 回归分析方法 收集率 

学科分类：12[管理学] 07[理学] 08[工学] 070105[070105] 071101[071101] 0711[理学-心理学类] 1201[管理学-管理科学与工程类] 081104[081104] 0805[工学-能源动力学] 0802[工学-机械学] 0835[0835] 081101[081101] 0701[理学-数学类] 0811[工学-水利类] 0801[工学-力学类] 0702[理学-物理学类] 0812[工学-测绘类] 

核心收录：

D　O　I：10.1007/s11771-011-0743-1

馆 藏 号：203472537...