自升式海洋平台多桩腿同步控制的研究  

Research on Multi- legs Synchronous Control of the Self- elevating Offshore Platform

作　　者：齐继阳[1] 任丽娜[1] 宁善平 刘燕[1] 

机构地区：[1]江苏科技大学机械工程学院,镇江212003

出　　处：《自动化与仪表》2014年第11期41-45,共5页Automation & Instrumentation

摘　　要：该文针对多电机同步控制系统的参数时变、非线性以及容易受负载扰动等因素,提出了基于相邻交叉耦合结构的BP神经网络PID控制算法,在Matlab/Simulink环境下搭建了多电机同步控制系统仿真模型。为实现自升式海洋平台升降过程的同步控制,在自升式海洋平台升降控制系统中引入了基于相邻交叉耦合结构的BP神经网络PID控制算法,经试运行表明,海洋平台升降过程中,同步性能好、系统可靠性高、结构简单、完全能够满足海洋平台的平稳升降要求。To solve the problem such as time-varying,nonlinearity,load disturbance and other vulnerable features of the multi-motor synchronization control system,a strategy was proposed based on the adjacent cross-coupling structure of BP neural network PID control algorithm in this paper. The multi-motor synchronization control system simulation model was established with Matlab/Simulink.In order to achieve the synchronization control of the self-elevating off- shore platforms jack-up process,the algorithm based on the adjacent cross-coupling structure of BP neural network PID control was introduced into the self-elevating offshore platform jack-up control system.The test result shows that the synchronization performance of the offshore platform was very good,its reliability was high and its structure was simple,so it can fully meet the requirements for steady jack-up process of the offshore platform.

关 键 词：海洋平台 升降系统 多电机同步 神经网络 PID控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]