Hovering Control of Submersible Transformer Inspection Robot Based on ASMBC Method

被引:11
作者
Feng, Yingbin [1 ]
Liu, Yanju [1 ]
Gao, Hongwei [1 ]
Ju, Zhaojie [2 ]
机构
[1] Shenyang Ligong Univ, Sch Automat & Elect Engn, Shenyang 110159, Peoples R China
[2] Univ Portsmouth, Sch Comp, Portsmouth PO1 3HE, Hants, England
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Robots; Oil insulation; Oils; Power transformer insulation; Control systems; Propulsion; Inspection; Oil-immersed transformer; robot; dynamic model; sliding mode backstepping control; AUTONOMOUS UNDERWATER VEHICLE; VOLTAGE; OIL;
D O I
10.1109/ACCESS.2020.2989378
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Aiming at the difficulty in locating and identifying the faults of oil-immersed transformers, a new spherical submersible transformer inspection robot is designed. The robot has a spherical structure with a zero turn radius, which ensures its flexible motion. It is a difficult problem for the underactuated spherical robot to realize the hovering control for identifying transformer fault points. To address the problem, the dynamic model and kinematics equations of the robot are derived by the hydrodynamic theory at first. Then, an adaptive sliding mode backstepping control (ASMBC) is used to design the cascade control system. The cascade control system consists of the depth control and the yaw control. The performance of the controller is verified by both simulation and real experiments. The simulation experimental results demonstrate that ASMBC controller is superior to the single neuron PID. The tank trials results show that the movement of the robot is flexible, and the hover control can satisfy the requirement of fault observation tasks.
引用
收藏
页码:76287 / 76299
页数:13
相关论文
共 38 条
[1]   Determination and localisation of turn-to-turn fault in transformer winding using frequency response analysis [J].
Ahour, Jafar Nosratian ;
Seyedtabaii, Saeed ;
Gharehpetian, Gevork B. .
IET SCIENCE MEASUREMENT & TECHNOLOGY, 2018, 12 (03) :291-300
[2]   Folaga: A low-cost autonomous underwater vehicle combining glider and AUV capabilities [J].
Alvarez, A. ;
Caffaz, A. ;
Caiti, A. ;
Casalino, G. ;
Gualdesi, L. ;
Turetta, A. ;
Viviani, R. .
OCEAN ENGINEERING, 2009, 36 (01) :24-38
[3]  
[Anonymous], [No title captured]
[4]  
[Anonymous], THESIS
[5]  
[Anonymous], [No title captured]
[6]  
[Anonymous], [No title captured]
[7]  
[Anonymous], [No title captured]
[8]   Adaptive control of an autonomous underwater vehicle: Experimental results on ODIN [J].
Antonelli, G ;
Chiaverini, S ;
Sarkar, N ;
West, M .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2001, 9 (05) :756-765
[9]   Development of a hot-spot temperature calculation method for the loss of life estimation of an ONAN distribution transformer [J].
Arabul, Ahmet Yigit ;
Senol, Ibrahim .
ELECTRICAL ENGINEERING, 2018, 100 (03) :1651-1659
[10]   Three-dimensional optimal path planning for waypoint guidance of an autonomous underwater vehicle [J].
Ataei, Mansour ;
Yousefi-Koma, Aghil .
ROBOTICS AND AUTONOMOUS SYSTEMS, 2015, 67 :23-32