Research on Structure Design and Control Method of Underwater Exploration Robot

Elsevier BV - Tập 208 - Trang 216-222 - 2022
Lijing Lijing, Tengguang Tengguang, Mei Mei

Tài liệu tham khảo

Lei, 2019, BP neural network S plane control for autonomous underwater vehicle, Industrial Instrumentation & Automation, 13 Xiaoyang, 2018, Research on the Development Status and Development Trend of underwater Robot, Sci-tech Innovation and Productivity, 19 Yong, 2004, The Embedded Basic Motion Control System of Autonomous Underwater Vehicle, Robot, 26, 25 Lei, 2018 Runfa, 2019, Design and implementation of control system for a kind of lightweight underwater robot, Journal of Hefei University of Technology (Natural Science), 42, 935 Xiaoyong, 2021, Construction and exploration of underwater robot standard system framework, Ocean Development and Management, 38, 53 Guangyue, 2020, Design and analysis of underwater robot frame structure based on ANSYS, Mechanical Research & Application, 33, 163 Gu Yueqin. (2021) “Modeling and control of underwater biped octopus robot based on deep reinforcement learning.” Hangzhou Dianzi University. Liusi, 2018, Modeling and simulation of underwater unmanned robot based on SIMULINK, Journal of Lanzhou University of Arts and Science (Natural Science Edition), 32, 59 Ling, 2020, Research on adaptive control algorithm of underwater rescue robot, Techniques of Automation and Applications, 39, 91 Tong, 2020, Application of GENETIC algorithm PID control in AUV attitude adjustment, Techniques of Automation and Applications, 39, 8 Jianhua, 2017, Application of cascade PID control in pitch control system of underwater robot, Journal of University of Shanghai for Science and Technology, 39, 229 Junzheng, 2020, Research on Obstacle Avoidance of mobile Robot Based on BP Neural Network PID Control, Science & Technology Vision, 34 Haixia, 2022, Research on liquid mixing system of poultry house based on NEURAL network PID algorithm control, Computer & Digital Engineering, 50, 498 Yongding, 2021, Simulation of AGV speed control system based on BP neural network PID control, Manufacturing Automation, 43, 63 Jiefei, 2019