基于SIMULINK-S函数的联合站脱水单神经元PID仿真

集输联合站的油水分离是保证产出原油质量的关键工艺过程。该文在对油水分离沉降过程动态特性深入研究的基础之上，给出了其数学模型。单神经元PID控制具有自学习和自适应能力，在一定程度上解决了传统PID调节器不易在线实时整定参数的不足，提高了控制器对系统和环境变化的适应能力。 SIMULINK中可用S-Function方便灵活地构建各种自定义仿真模型。该文使用SIMULINK中的S-Function Builder模块以快速构建单神经元PID控制模块，并在SIMU-LINK中对单神经元PID控制方案进行了仿真研究，仿真结果表明该算法可获得更好的调节质量。

Simulation of single neuron PID control for the union station crude oil dehydration process based on SIMULINK-S functions

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 de-duced.The single neuron PID controller had the self-learning and adaptive capabilities, thus to some extends, 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.In SIMULINK, a va-riety of custom simulation models could be built using S-Function conveniently and flexibly.As used herein, the dynamic model of single neuron PID controller was built quickly by SIMULINK S-Function Builder module, and the single neuron PID control algorithm was also simulation researched in SIMU-LINK.Simulation results showed that algorithm could effectively improve the control quality.