神经网络PID糖厂澄清工段pH控制器的设计

Design of Neural Network PID Control System on Sugar Refineryeach Clarification Section pH

糖厂澄清工段是糖厂重要的工艺控制过程,具有强非线性、多约束、时变、大滞后、多输入等特点。中和pH在控制要求的范围对获得高质量清净汁,降低能耗,提高糖收回率有重要的作用。中和pH的稳定控制一直以来没有得到很好的解决。针对上述问题,基于神经网络PID算法,利用ARM公司Cortex-M3核的处理器设计出一种糖厂澄清工段pH控制系统,该控制系统主要包括核心算法处理模块、电机驱动模块、和pH采集模块,并在糖厂澄清工段模拟试验装置上进行验证,试验结果表明,该控制系统具有响应速度快、控制精度高、自适应能力强等优点。

The sugar factory＇s clarification is the important cralt m the control process, tt nas me cnaractensucs ot strong non-linearity, multi-constraint, time-varying, large time-delay, and multi-input. It is an important content to control the neutral pH value within a required range, which has the vital significance for acquiring high quality purified juice, reducing energy consumption and raising sucrose recovery. Because of these uncertain factors, there has not been a very good solution on the stability control of clarifying process. To solve this problem, this paper design a pH control system which core is Cortex-M3 based on neural network PID algorithm. This control system mainly includes core algorithm processing module, motor driver module, and pH acquisition module. Finally, this system has been installed on clarification section pH value simulation experiment device. The experimental results show that this control system has many advantages such as fast response, high controlled resolution, and strong adaptive capacity.