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作 者:孟娇娇 侯伟[1] MENG Jiaojiao;HOU Wei(Shaanxi Polytechnic Institute,Xianyang 712000,China;Xianyang Key Laboratory of New Power and Intelligent Microgrid System,Xianyang 712000,China)
机构地区:[1]陕西工业职业技术学院,陕西咸阳712000 [2]咸阳市新能源及微电网系统重点实验室,陕西咸阳7120001
出 处:《工业加热》2024年第9期1-4,9,共5页Industrial Heating
基 金:陕西省自然科学基础研究计划(2022JM-388);陕西工业职业技术学院重点项目(2023YKZD001)。
摘 要:由于未考虑到退火炉温度偏差值的影响,导致超调量较高,调节效果欠佳。为此,提出基于改进模糊自整定PID算法的真空退火炉温度动态调节技术。依据真空退火炉的工作机理,分析退火炉在工作中的温度变化曲线,采用双曲正切函数求取温度调节过程中的温度偏差值,从而对其动态温度进行设定,采用改进模糊自整定PID算法构造温度模糊控制器,通过对设计的温度模糊控制器内部控制参数进行优化,从而对控制器结构进行更新,并将退火炉的相关参数作为输入量,目标温度作为输出量,由此实现对退火炉温度的动态调节。实例应用结果显示,所提方法可以有效实现对真空退火炉温度的动态调节,且超调量较低,调节效果较好。Due to the failure to consider the influence of annealing furnace temperature deviation values,the overshoot is relatively high and the adjustment effect is not satisfactory.To this end,a dynamic temperature adjustment technology for vacum annealing furnaces based on an improved fuzzy self-tuning PID algorithm is proposed.Based on the working mechanism of the vacuum annealing furnace,the temperature variation curve of the annealing furnace during operation is analyzed.The hyperbolic tangent function is used to calculate the temperature deviation value during the temperature adjustment process,and its dynamic temperature is set.An improved fuzzy self-tuning PID algorithm is used to construct a temperature fuzzy controller.By optimizing the internal control parameters of the designed temperature fuzzy controller,the controller structure is updated,and use the relevant parameters of the annealing furnace as input and the target temperature as output,thereby achieving dynamic adjustment of the annealing furnace temperature.The application results of the example show that the proposed method can effectively achieve dynamic adjustment of the temperature of the vacuum annealing furnace,with a low overshoot and good adjustment effect.
关 键 词:改进模糊自整定PID算法 真空退火炉 温度动态调节 模糊规则
分 类 号:TG155.1[金属学及工艺—热处理]
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