Simulation Research on the Depth Control of Remote Operated Vehicle Based on Single Neuron Pid

摘要：

　　For the depth control of ROV(remote operated vehicle),this paper established the function model of ROV motion process transfer according to the dynamics theory,and used PID control algorithm to control the depth.Considering the large disturbance in the process of depth keeping,the difficulty of getting accurate ROV model parameters,as well as the poor robustness and dynamic performance of traditional PID control,the neural PID controller is adopted.The simulation results show that the single neuron PID controller greatly improves the dynamic performance of the depth control.When the model parameters change slightly,it has better anti-interference performance and robustness.

关键词： Remote operated vehicle Depth control Single neuron pid Robustness Simulink simulation

作者: Zexin Jiang Shaohan Chen

作者单位: School of Automation,Beijing Information Science and Technology University,Beijing,China

会议类型: 国际会议

会议名称: 2020 5th International Workshop on Materials Engineering and Computer Sciences 2020年第五届材料工程和计算机科学国际研讨会(IWMECS 2020)

会议地点: 重庆

会议语种:英文

页码: 330-336

在线出版日期: 2020-05-30（万方平台首次上网日期，不代表论文的发表时间）