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基于旋转坐标变换交流电子负载模拟实验研究
引用本文:薛家祥,何鑫.基于旋转坐标变换交流电子负载模拟实验研究[J].电测与仪表,2021,58(7):44-48.
作者姓名:薛家祥  何鑫
作者单位:华南理工大学机械与汽车工程学院,广州510640
基金项目:2015东莞市引进第三批创新科研团队项目(2017360004004);广州市南沙区科技计划项目(2017CX009);广东省交通厅科技项目(科技-2017-02-041);福建省自然科学(2018J01541)
摘    要:针对传统交流电子负载基于内环电流PI控制动态响应较差,且易受网侧波动干扰,以双PWM变换器为电路基础,参考三相PWM整流器通过旋转坐标变换分别控制有功与无功电流来消除稳态误差的模型,提出单相PWM整流器(VSR)旋转坐标变换模型.通过构建正交虚拟电流与前馈解耦并结合基于BP神经网络的自调整PI控制,在稳定直流母线电压的同时实现负载模拟电流的矢量控制,提高负载模拟的动态和稳态特性.实验结果表明,在纯阻、感阻、容阻负载模拟下,该控制策略能够有效提高负载模拟动态响应,对比常规PI,可知基于BP神经网络自整定的PI控制在参考电流为1 A阶跃响应中超调量减少约10%,调节时间减少约9 ms.

关 键 词:单相PWM整流器  旋转坐标变换  前馈解耦控制策略  BP神经网络自整定PI控制
收稿时间:2020/2/8 0:00:00
修稿时间:2020/3/11 0:00:00

Experimental study on alternating current electronic load based on rotating coordinate transformation
XUE Jiaxiang and HE Xin.Experimental study on alternating current electronic load based on rotating coordinate transformation[J].Electrical Measurement & Instrumentation,2021,58(7):44-48.
Authors:XUE Jiaxiang and HE Xin
Affiliation:South China University of Technology,South China University of Technology
Abstract:In view of the traditional AC Electronic Load based on the innerring current PI control is poorer, dynamic response and vulnerable network side wave interference, based on the circuit of dual PWM converter, reference three-phase PWM rectifier controlled by rotating coordinate transformation are active and reactive current to eliminate the steady-state error of the model, put forward single-phase PWM rectifier (VSR) rotating coordinate transformation models, by constructing virtual current and feedforward decoupling and combined with orthogonal self-adjusting PI control based on BP neural network, at the same time in the stability of DC bus voltage load simulation of the current vector control, improve the load simulation of dynamic and steady-state characteristics. The experimental results show that under pure resistance, inductive resistance and capacitive resistance load simulation, the control method can effectively improve the load simulation response. Compared with the conventional PI, the self-tuning PI control based on BP neural network, the overshot can be reduced by about 10% and the adjustment time can be reduced by about 9ms when the reference current is 1A step response.#$NLKeywords: Single-phase PWM rectifier; Rotation coordinate transformation; Feed forward decoupling; BP neural network
Keywords:Single-phase PWM rectifier  Rotation coordinate transformation  Feed forward decoupling  BP neural network
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