基于自适应模糊系统的感应加热电源温度控制  

Temperature Control of Induction Heater Based on Adaptive Fuzzy System

作　　者：杜里根 方诣博 李玉玲[1] DU Ligen;FANG Yibo;LI Yuling(Zhejiang University,Hangzhou 310027,China;Inner Mongolia Electric Power Bureau,Inner Mongolia 015000,China)

机构地区：[1]浙江大学电气工程学院,浙江杭州310027 [2]内蒙古电力(集团)有限责任公司巴彦淖尔电业局,内蒙古巴彦淖尔015000

出　　处：《电工技术》2020年第12期10-12,14,共4页Electric Engineering

摘　　要：感应加热系统存在着参数时变性、结构非线性等特点,传统感应加热系统温度控制策略难以实现温度的精确控制。文章提出一种自适应模糊系统,借助神经网络的推理功能,通过检测到的感应加热电源玻璃板温度准确预测被加热锅具的温度,同时在网络输出端接入离散模糊控制器,实现了锅具温度的稳定控制。实验结果表明,基于该系统的感应加热电源能够对不同目标温度和水量运行进行稳定控制,快速性好,超调小,有自适应能力。The induction heater has the characteristics of parameter time-varying and structural nonlinearity.It is difficult to achieve precise temperature control by the traditional temperature control strategy.Thus,an adaptive fuzzy system was proposed.With the help of the inference function of the neural network,the temperature of the heated pot was accurately predicted by the detected temperature of the glass plate of the induction heating power supply.At the same time,a discrete fuzzy controller was connected to the output of the network to achieve stable control of the pot temperature.The experimental results showed that the induction heater based on this system could stably control with different water quantities at different target temperatures with good rapidity,small overshoot and adaptive ability.

关 键 词：自适应 模糊系统 温度控制 感应加热电源 

分 类 号：TM924[电气工程—电力电子与电力传动]