摘要
针对地转海洋学实时阵列(ARGO)浮标的无动力升沉运动,提出了一种新型ARGO浮标混合浮力驱动技术(HBAT),介绍了其组成及工作原理;在分析ARGO浮标及HBAT特性的基础上,建立了ARGO浮标的数学模型.以降低下潜功耗、提升动态特性为目标,对多种浮力驱动控制器的动态特性及功耗进行了对比分析;同时,以上浮功耗最低为目标,对不同最大工作压差下的上浮运动中的功耗进行了分析.结果表明:在下潜运动中,模糊PID(比例-积分-微分)控制器在负载扰动下具有较好的动态特性与功耗特性,能够适应海洋复杂多变的环境,提升ARGO浮标工作性能;而在上浮运动过程中,当齿轮泵的最大工作压差为9.2 MPa时,浮力驱动系统的功耗最低,约为2.023 W·h.
Aiming at unpowered rising and diving motion of array for real-time geostrophic oceanography(ARGO) buoy,a new type of ARGO buoy hybrid buoyancy actuation technology(HBAT) was presented, and the formation and principle were introduced.Based on analyzing the structure of ARGO buoy and the characteristics of HBAT,the simplified numerical models of ARGO buoy were developed.To improve the dynamic characteristics and reduce the energy consumption,various types of buoyancy actuation controller were developed,the dynamic characteristics and energy consumption under load disturbance were investigated,and comparisons were made among the controllers. Energy consumption was been studied under different maximum working pressure for improving the efficiency.The results show that fuzzy PID(proportion-integral-derivative) controller has advantages in dynamic characteristics and energy consumption.It has adaptabilities of ocean environment.Energy consumption is lowest under condition that the maximum working pressure is 9.2 MPa when the ARGO buoy is rising,it's about 2.023 W·h.
引文
[1]ALAAELDEEN M E A,DUAN W Y.Overview on the development of autononous underwater vechicles(AUVs)[J].Journal of Ship Mechanics,2016(6):768-787.
[2]蒋新松,封锡盛,王隶棠.水下机器人[M].沈阳:辽宁科学技术出版社,2000.
[3]WYNN R B,HUVENNE V A I,LE BAS T P,et al.Autonomous underwater vehicles(AUVs):their past,present and future contributions to the advancement of marine geoscience[J].Marine Geology,2014,352:451-468.
[4]BOGUE R.Underwater robots:a review of technologies and applications[J].Industrial Robot:An International Journal,2015,42(3):186-191.
[5]CARRERAS M,CANDELA C,RIBAS D,et al.SparusⅡ,design of a lightweight hovering AUV[C]//Proc of 5th International Workshop on Marine Technology.Girona:Martech,2013:163-164.
[6]MACLEOD M,BRYANT M.Dynamic modeling,analysis,and testing of a variable buoyancy system for unmanned multidomain vehicles[J].IEEE Journal of Oceanic Engineering,2017,42(3):511-521.
[7]严安庆,方学红,杨邦清.浅谈潜水器浮力调节系统的研究现状[J].水雷战与舰船防护,2009,17(2):55-59.
[8]刘银水,吴德发,李东林,等.大深度潜水器海水液压浮力调节技术研究进展[J].液压与气动,2014(10):1-10.
[9]高剑.无人水下航行器自适应非线性控制技术[M].西安:西北工业大学出版社,2016.
[10]王雨,郑荣,武建国.基于浮力调节系统的AUV深度控制研究[J].自动化与仪表,2015,30(4):6-10.
[11]魏学.自主水下机器人自升沉控制技术研究[D].沈阳:东北大学机械工程与自动化学院,2015.
[12]王波.微小型水下机器人运动仿真研究[D].哈尔滨:哈尔滨工程大学船舶工程学院,2008.
[13]周晗,王天霖,于鹏垚.圆碟形水下滑翔机运动特性研究[J].华中科技大学学报:自然科学版,2018,46(9):112-118.
[14]曾光奇,胡均安.模糊控制理论与工程应用[M].武汉:华中科技大学出版社,2006.
[15]穆为磊,邹振兴,孙海亮,等.潜器浮力调节系统的低功耗控制策略[J].西安交通大学学报,2018,52(12):44-49.