Research on Variable Universe Fuzzy PID Control Strategy of Pipe Lining Induction Heating System

IF 0.8 Q3 ENGINEERING, MULTIDISCIPLINARY
Yuzhong Wang, M. Wei, Xue Hu, Minghong Jiang, Lixin Zhang
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引用次数: 5

Abstract

It is a promising heat supply strategy to use induction heating for the pipe lining process, but temperature control is hindering its application. In this study, we designed the variable universe fuzzy PID controller, and the lining induction heating system model was used to verify its performance. First, the transfer function parameters of the lining induction heating system are obtained by the step response method. Then, a point-by-point convergent interpolator is established through the contraction-expansion factors to realize the adaptive expansion of the fuzzy universe. Finally, the performance of PID, fuzzy PID, and variable universe fuzzy PID are compared through simulation experiments, and the ability of the controller to resist disturbance is verified by adding interference. The results show that the variable universe fuzzy PID controller can greatly improve the performance of fuzzy PID in response speed and settle time. The average stability error is smaller than PID and fuzzy PID control. It can meet the speed and accuracy requirements of the lining induction heating system. This research can be used as a reference for induction heating precise control and evidence that the variable universe fuzzy PID control can satisfy the lining induction heating process.
管道感应加热系统变域模糊PID控制策略研究
感应加热是一种很有前途的供热策略,但温度控制是阻碍其应用的主要因素。在本研究中,我们设计了变域模糊PID控制器,并使用衬里感应加热系统模型来验证其性能。首先,采用阶跃响应法获得了衬里感应加热系统的传递函数参数。然后,通过收缩-膨胀因子建立逐点收敛的插值器,实现模糊宇宙的自适应膨胀。最后,通过仿真实验比较了PID、模糊PID和变域模糊PID的性能,并通过添加干扰验证了控制器的抗干扰能力。结果表明,变域模糊PID控制器在响应速度和稳定时间上都能大大提高模糊PID的性能。平均稳定误差小于PID和模糊PID控制。它可以满足衬里感应加热系统的速度和精度要求。该研究可为感应加热的精确控制提供参考,并证明变域模糊PID控制可以满足衬砌感应加热过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Modelling and Simulation in Engineering
Modelling and Simulation in Engineering ENGINEERING, MULTIDISCIPLINARY-
CiteScore
2.70
自引率
3.10%
发文量
42
审稿时长
18 weeks
期刊介绍: Modelling and Simulation in Engineering aims at providing a forum for the discussion of formalisms, methodologies and simulation tools that are intended to support the new, broader interpretation of Engineering. Competitive pressures of Global Economy have had a profound effect on the manufacturing in Europe, Japan and the USA with much of the production being outsourced. In this context the traditional interpretation of engineering profession linked to the actual manufacturing needs to be broadened to include the integration of outsourced components and the consideration of logistic, economical and human factors in the design of engineering products and services.
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