基于改进遗传算法的模糊温度控制在空调中的应用
发布时间：2019-01-10 19:04
【摘要】：针对VRV空调温度控制系统的滞后、时变、非线性等特点,提出将模糊控制和遗传算法相结合,设计出基于改进遗传优化算法的模糊温度控制器,进行了两者对空调系统房间温度控制的仿真及对比分析,结果表明采用改进遗传算法的模糊控制器后,系统能够迅速稳定在设定值周围,在大大缩短了调节时间和减小稳态误差的同时,保持了对扰动的抵抗能力,使得系统的稳定性没有太大改变,即算法可以保证房间温度最终趋于设定值25℃。
[Abstract]:According to the characteristics of VRV air conditioning temperature control system, such as lag, time-varying and nonlinear, a fuzzy temperature controller based on improved genetic optimization algorithm is designed by combining fuzzy control with genetic algorithm. The simulation and comparative analysis of room temperature control between the two systems are carried out. The results show that the fuzzy controller with improved genetic algorithm can rapidly stabilize the system around the set value. At the same time, the stability of the system is not changed greatly because the stability of the system is not changed, that is to say, the temperature of the room can reach to 25 鈩，
本文编号：2406683
[Abstract]:According to the characteristics of VRV air conditioning temperature control system, such as lag, time-varying and nonlinear, a fuzzy temperature controller based on improved genetic optimization algorithm is designed by combining fuzzy control with genetic algorithm. The simulation and comparative analysis of room temperature control between the two systems are carried out. The results show that the fuzzy controller with improved genetic algorithm can rapidly stabilize the system around the set value. At the same time, the stability of the system is not changed greatly because the stability of the system is not changed, that is to say, the temperature of the room can reach to 25 鈩，
本文编号：2406683
本文链接：https://www.wllwen.com/guanlilunwen/gongchengguanli/2406683.html
