PDF (1141K)
摘要
水下作业型机器人(ROV)因其广泛的作业能力,被广泛应用于海洋和湖泊等领域,如多种型号装备维修保障、海洋装备维修等领域。然而,ROV其本身是一个高度非线性、强耦合和时滞的系统,同时水动力系数的不确定、系统建模误差和参数扰动都会造成动力学的不确定性,加上海底暗流等很多复杂海洋环境干扰,使ROV的抗扰控制成为难题。本文使用滑模变结构控制算法增强ROV的抗扰能力,加上ESO滑模干扰观测器,进一步提高模型抗干扰能力和鲁棒性。
Abstract
Underwater robotic vehicles (ROVs), with their versatile operational capabilities, are extensively deployed in marine and lake environments for equipment maintenance and repair. However, ROVs inherently function as highly nonlinear, strongly coupled, and time-delayed systems. Dynamic uncertainties arise from hydrodynamic coefficient variations, modeling errors, and parameter disturbances, compounded by complex marine interference such as undercurrents, which pose significant challenges to their disturbance rejection control. This study employs sliding mode variable structure control (SMVSC) to enhance ROV’s disturbance resistance, while integrating an ESO sliding mode disturbance observer (ESO-SDO) to further improve model robustness and disturbance tolerance.
关键词
Key words
[Author(id=1278736547219055212, tenantId=1045748351789510663, journalId=1253638430942068904, articleId=1278736546162090594, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1278736547286164080, tenantId=1045748351789510663, journalId=1253638430942068904, articleId=1278736546162090594, authorId=1278736547219055212, language=EN, stringName=Liang Cao, firstName=Liang, middleName=null, lastName=Cao, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=HaiZhuang Military Representative Office, Zhengzhou, Henan, 450006, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1278736547344884340, tenantId=1045748351789510663, journalId=1253638430942068904, articleId=1278736546162090594, authorId=1278736547219055212, language=CN, stringName=曹亮, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=海装某军事代表室, 中国·河南 郑州 450006, bio={"content":"曹亮(1987-),男,中国湖南益阳人,硕士,工程师,从事导弹发射装置研究。
"}, bioImg=null, bioContent=曹亮(1987-),男,中国湖南益阳人,硕士,工程师,从事导弹发射装置研究。
, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1278736547130974824, tenantId=1045748351789510663, journalId=1253638430942068904, articleId=1278736546162090594, xref=null, ext=[AuthorCompanyExt(id=1278736547147752041, tenantId=1045748351789510663, journalId=1253638430942068904, articleId=1278736546162090594, companyId=1278736547130974824, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=HaiZhuang Military Representative Office, Zhengzhou, Henan, 450006, China), AuthorCompanyExt(id=1278736547164529258, tenantId=1045748351789510663, journalId=1253638430942068904, articleId=1278736546162090594, companyId=1278736547130974824, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=海装某军事代表室, 中国·河南 郑州 450006)])])]
曹亮.
基于ROV的滑模变结构抗扰控制算法研究[J].
科技创新与工程, 2025, 2(10): 31-33 DOI:10.12349/tie.v2i10.8459
| [1] |
潘光, 宋保维, 黄桥高, 等. 水下无人系统发展现状及其关键技术[J]. 水下无人系统学报, 2017, 25(2): 44-51.
|
| [2] |
李经. 水下无人作战系统装备现状及发展趋势[J]. 舰船科学技术, 2017, 39(1): 1-5, 36.
|
| [3] |
钱东, 赵江, 杨芸. 军用UUV发展方向与趋势(上)——美军用无人系统发展规划分析解读[J]. 水下无人系统学报, 2017, 25(2): 1-30.
|