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Fuzzy Pid Research on the Temperature Control System of Central Air Conditioning Based on Genetic Algorithms

机译:基于遗传算法的中央空调温控系统模糊PID研究

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The study designs PID mathematical model and algorithm of the central air conditioning temperature control based on genetic algorithm. In order to test availability of the procedure and algorithm, we use the MATLAB software to do numerical simulation on different algorithms. Through calculation we found that delay time of the PID controller based on genetic algorithm designed in this paper is 92 seconds, less than the other two algorithms. The time which needs to adjust is 302 seconds, less than the other two algorithms. The overshoot is 25% which meets the needs of central air conditioning temperature control system. Finally, through the graphics computing functions of MATLAB we get two-dimensional section images of central air conditioning refrigeration effect. From the image we can see the central air conditioning refrigeration effect of PID algorithm based on genetic algorithm is good. It provides the theoretical reference for the study of air conditioning control system.
机译:该研究设计基于遗传算法的中央空调温度控制PID数学模型及算法。为了测试程序和算法的可用性,我们使用MATLAB软件在不同算法上进行数值模拟。通过计算,我们发现基于本文设计的基于遗传算法的PID控制器的延迟时间为92秒,小于其他两个算法。需要调整的时间为302秒,小于其他两个算法。过冲是25%,满足中央空调温度控制系统的需求。最后,通过MATLAB的图形计算功能,我们获得了中央空调制冷效果的二维部分图像。从图像中,我们可以看到基于遗传算法的PID算法的中央空调制冷效果良好。它为空调控制系统的研究提供了理论参考。

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