基于模糊蚁群算法的微生物培养箱温湿度控制研究

Research of Microbiological Incubator Temperature and Humidity Intelligent Predictive Control

针对微生物培养箱温湿度控制系统存在大滞后、大超调等特性,提出基于模糊蚁群算法的微生物培养箱温湿度控制策略,将蚁群算法与模糊PID算法相结合,避免传统控制策略带来的环境温湿度安全问题。实验表明,采用模糊蚁群算法的控制策略可缩短系统温湿度调节时间,使控制过程更加稳定,其控制效果明显优于传统控制策略。

For microbiological incubator temperature and humidity control system features, such as large lag and large overshoot, ant colony algorithm is put forward based on fuzzy incubator temperature and humidity control strategy of microorganism, combining ant colony algorithm with fuzzy PID algorithm, to avoid safety environmental temperature and humidity problems of traditional control strategy. Experiments show that the fuzzy control strategy of ant colony algorithm can shorten the system temperature and humidity adjusting time, make the control process is more stable, and its control effect is superior to the traditional control strategy.