一种基于快速傅里叶变换的PID工程自整定方法  

A Method of PID Engineering Self-tuning Based on Fast Fourier Transform

作　　者：曾德良[1] 张纲 郑艳秋 孙玥 陈峰[2] ZENG Deliang;ZHANG Gang;ZHENG Yanqiu;SUN Yue;CHEN Feng(School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China;Beijing GuoDianZhiShen Control Technology Co.Ltd,Beijing 102200,China)

机构地区：[1]华北电力大学,控制与计算机工程学院,北京102206 [2]北京国电智深控制技术有限公司,北京102200

出　　处：《电工技术》2018年第22期1-4,6,共5页Electric Engineering

基　　金：课题名称 二次再热发电机组工程示范;项目名称 高效灵活二次再热发电机组研制及工程示范;课题编号 2017YFB0602105

摘　　要：本文提出了一种基于快速傅里叶变换的PID工程自整定方法。该方法利用面积法辨识模型参数,基于滞环继电器特性产生临界振荡曲线,采用FFT方法分析获取临界周期和临界振幅,并应用遗传算法根据ITAE指标,寻优改进Z_N公式经验参数。经实时仿真验证表明:改进的Z_N法与其他方法相比,可以提升系统的响应速度,有效降低系统的超调量,达到很好的控制品质。This article proposes a PID engineering self-tuning method based on fast Fourier transform. Using the area method to identify the model parameters, a critical oscillation curve is generated based on the characteristics of the hyster esis relay, and the critical period and amplitude are obtained by FFT analysis. The genetic algorithm is used to optimize the empirical parameters of the Z_N formula based on the ITAE index. The results verified by real time simulation show that compared with other methods, the improved Z_N method can improve the response speed of the system, effectively reduce the overshoot of the system, and achieve good control quality.

关 键 词：模型辨识 滞环继电器 快速傅里叶变换 遗传算法 PID 

分 类 号：TM621[电气工程—电力系统及自动化]