生物细胞培养环境温度控制仿真研究

Simulation of Biological Cell Culture Environmental Temperature Control

生物细胞培养环境温度控制系统是生物细胞培养的关键,细胞培养环境温度控制系统中使用的是电加热板加热。电加热板加热过程的具有非线性、大惯性、时滞性以及与环境有比较大的热交换等特点,较难实现精确的控制。通过对系统所使用的加热板的温升特性曲线进行分析,建立了系统模型,在传统控制方案的基础上,对传统电加热板控制方法进行改进,以PID控制为基础,结合模糊控制,构成了模糊PID控制器,后使用MATLAB/Simulink仿真工具,分析优化参数。仿真结果表明,对于电加热板温度控制系统,参数自整定的模糊PID控制比传统PID控制方法有更好的控制效果,减小了超调量,缩短了电加热板的温度调整时间,提高了系统的自适应能力,改善了电加热板的温度控制效果。

Temperature control system of biological cell culture is the key to biological cell culture, and cell cul- ture temperature control system uses electric heating plate as heating tool. Electric heating plate heating process has the characteristics of nonlinear and large inertia. And the environment has relatively large heat exchange. So it is dif- ficult to achieve precise control. In the paper, temperature rising characteristic curve of the heating plate was ana- lyzed, and a first-order delay system model of the heating plate was established. The traditional electric heating plate control method was improved on the basis of PID control. And combined with fuzzy control, a fuzzy PID controller was formed. Using MATLAB/Simulink simulation as a tool, we can analyse and optimize the parameters. The results show that for the electric heating plate, parameter self-tuning fuzzy PID controller has a better effect than the tradi- tional PID control methods, and it reduces the overshoot, and shorten the adjustment time of the electric heating plate. And it improves the adaptability of the system to improve the control effect, and has a certain application value.