摘要
温度控制可以避免由于电气设备温度过高而出现故障,为了提高电气设备的温度控制精度,研究了一种自适应模糊PID控制器的电气设备温度控制方法。在自适应模糊算法的基础上,优化PID控制器的结构,根据自适应模糊处理的原理,建立自适应模糊PID控制器输入与输出的关系,以电气设备的温变和均方差作为优化目标,完成自适应模糊PID控制器的参数优化。根据电气设备运行环境中的平均温度,构建电气设备温度的连续时间动态模型,采用优化后的自适应模糊PID控制器参数,获取电气设备温度控制的输出,最小化电气设备温度控制的目标函数,实现电气设备的温度控制。实验结果表明,该方法能够将温度控制精度提高到93%以上,其对电气设备具有较好的降温效果和控温效果,具备了可行性。
Temperature control can avoid failure due to high temperature of electrical equipment.In order to improve the accuracy of temperature control of electrical equipment,an adaptive fuzzy PID controller temperature control method of electrical equipment is studied.On the basis of adaptive fuzzy algorithm,the structure of PID controller is optimized.According to the principle of adaptive fuzzy processing,the relationship between the input and output of adaptive fuzzy PID controller is established.The temperature change and mean square error of electrical equipment are taken as the optimization objective to complete the parameter optimization of adaptive fuzzy PID controller.According to the average temperature in the operating environment of electrical equipment,the continuous time dynamic model of electrical equipment temperature was established.The optimized adaptive fuzzy PID controller parameters were adopted to obtain the output of electrical equipment temperature control,minimize the objective function of electrical equipment temperature control,and realize the temperature control of electrical equipment.The experimental results show that the method can increase the temperature control accuracy to more than 93%,and it has good cooling effect and temperature control effect on electrical equipment,which is feasible.
作者
石礁
顾泽明
郭凯
SHI Jiao;GU Zeming;GUO Kai(State Grid Shengsi Power Supply Company,Zhoushan,Zhejiang 316000,China;Shengsi Electrical Installation Co.,Ltd.,Zhoushan,Zhejiang 316000,China)
出处
《计算技术与自动化》
2024年第3期26-30,共5页
Computing Technology and Automation
关键词
温度控制
电气设备
模糊算法
PID控制器
参数优化
自适应控制
连续时间动态模型
temperature control
electrical equipment
fuzzy algorithm
PID controller
parameter optimization
adaptive control
continuous time dynamic model
