联合站原油脱水过程单神经元PID控制研究  

Research on Application of Single Neuron PID Control for the Union Station Crude oil Dehydration Process

作　　者：邹益民[1] 

机构地区：[1]南京铁道职业技术学院通信信号学院,江苏南京210031

出　　处：《自动化与仪器仪表》2013年第3期5-7,9,共4页Automation & Instrumentation

基　　金：基于计算机视觉及多信息融合的轨道交通异常客流实时监控系统;江苏省轨道交通工程研发中心开放基金项目

摘　　要：集输联合站的油水分离是保证原油产出质量的关键工艺过程。本文深入研究了油水分离沉降过程动态特性,给出了其数学模型。同时,本文提出了几种基于单神经元PID的控制方案,在一定程度上解决了传统PID调节器参数不易在线实时整定的不足,提高了控制器对环境变化的适应能力。仿真结果表明采用基于单神经元的PID算法可有效改善控制质量,且其中以输出误差平方和为性能指标的算法可获得更好的动、静态特性。The oil-water separation process of the gathering and transportation union station was the key procedure to ensure the quality of crude oil product. In this paper, on the basis of in-depth study of the dynamics behavior of oil-water separation and settlement process, its mathematical model was deduced. Several control scheme based on single neuron PID was also proposed, thus solved the difficulties for traditional PID lack of tuning controller parameters on line real-time, and improved the controller ability of adapting to system and environmental change. Simulation results showed that would effectively improve the control quality based on single neuron PID control algorithm. The algorithm which using the squares sum of the output error as its performance index would achived better dynamic and static characteristics and robustness.

关 键 词：联合站 脱水过程 神经网络 PID控制 自整定 自适应 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]