摘要
电弧炉电极调节器是一种复杂的非线性模型,控制不好会消耗大量的电能和时间。为了更加准确快速地控制电极调节系统,提出了一种遗传模糊逻辑控制器(GFLC)算法,采用一种新型的编码方式来调整隶属函数及逻辑规则,从而克服了非线性系统不好控的太多问题,减少了复杂系统之间引起的误差影响。通过训练和验证,遗传模糊逻辑控制器能够实时调节控制参数,与传统PID控制方法比较,GFLC控制电极调节更加快速准确。
As a complex non-linear model,if the arc furnace electrode regulator is not well controlled,it will consume a lot of power and time.In order to control the electrode adjustment system more accurately and quickly,a genetic fuzzy logic controller(GFLC)algorithm is proposed.A new coding method is adopted to adjust the membership functions and logic rules,which overcomes many problems of uncontrollable nonlinear systems and reduces the influence of errors caused by complex systems.Through training and verification,the genetic fuzzy logic controller can adjust the control parameters in real time.Compared with the traditional PID control method,the GFLC control electrode adjustment is faster and more accurate.
作者
李强
卫敏
李刚
王星
Li Qiang;Wei Min;Li Gang;Wang Xing(School of Automation and Information Engineering,Xi′an University of Technology,Xi′an 710048,China)
出处
《电子技术应用》
2021年第1期73-77,共5页
Application of Electronic Technique
基金
陕西省科技统筹创新工程计划(2012KTCG01-13)。
关键词
电弧炉
电极调节系统
遗传算法
遗传模糊逻辑控制器
electric arc furnace
electrode regulation system
genetic algorithm
genetic fuzzy logic controller(GFLC)
