[1]胡春龙.基于单神经元自适应的 PWM 整流器控制方法研究[J].机械与电子,2022,(10):20-24.
 HU Chunlong.Research on Control Method of PWM Rectifier Based on Single Neuron Adaptive[J].Machinery & Electronics,2022,(10):20-24.
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基于单神经元自适应的 PWM 整流器控制方法研究()
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2022年10期
页码:
20-24
栏目:
设计与研究
出版日期:
2022-10-31

文章信息/Info

Title:
Research on Control Method of PWM Rectifier Based on Single Neuron Adaptive
文章编号:
1001-2257 ( 2022 ) 10-0020-05
作者:
胡春龙
陕西国防工业职业技术学院,陕西 西安 710300
Author(s):
HU Chunlong
( Shaanxi Defence Vocational and Technical College , Xi ’ an 710300 , China )
关键词:
PWM 整流器单神经元 PID 前馈解耦
Keywords:
PWM rectifier single neuron PID feedforward decoupling
分类号:
TM461 ; TP273
文献标志码:
A
摘要:
针对 PWM 整流器在传统双 PI 控制中存在非线性、高次谐波和抗扰性差等缺点,以三相电压型 PWM 整流器为研究对象,提出了一种单神经元自适应 PID 与传统 PI 复合的新型控制策略。以电压外环误差限作为调节器切换依据,在误差限值以上利用神经元自学习、自整定算法输出动态可变的 PID 参数调节电压,在误差限值以下采用 PI 调节器快速减小静差,同时在电流内环引入前馈解耦策略实现电压、电流双闭环控制。对系统进行了仿真实验,结果表明这种控制方法能有效改善电压的抗扰性和电流的跟随性,提升电能质量并减小谐波污染,系统动静态性能良好。
Abstract:
Aiming at the disadvantages of nonlinearity , high-order harmonics and poor immunity of PWM rectifier in traditional double PI control , and taking three-phase voltage source PWM rectifier as the research object , a new control strategy based on single neuron adaptive PID and traditional PI is proposed. Taking the error limit of the outer voltage loop as the switching basis of the regulator , the neuron self-learning and self-tuning algorithm is used to output dynamically variable PID parameters to regulate the voltage above the error limit , the PI regulator is used to quickly reduce the static error below the error limit , and the feedforward decoupling strategy is introduced into the inner current loop to realize the double closed-loop control of voltage and current. The simulation results show that this control method can effectively improve the voltage immunity and current following , improve the power quality and reduce the harmonic pollution. The system has a good dynamic and static performance.

参考文献/References:

[ 1 ] 王归新,金申义 . 基于三相电压型 PWM 整流器控制策略研究[ J ] . 电气传动, 2019 , 49 ( 10 ): 34-38 , 74.

[ 2 ] 王占扩,张永昌,童朝南 . 一种改进的三相 PWM 整流器模型预测控制方法研究[ J ] . 电机与控制学报, 2020 ,24 ( 7 ): 73-81.
[ 3 ] 蒋龙云,岳倩倩,张俊,等 . 滑模控制策略在三相 PWM整流器中的应用[ J ] . 佳木斯大学学报(自然科学版),2021 , 39 ( 3 ): 141-144.
[ 4 ] JING K , LIU C , LIN X P. Discrete dynamical predictive control on current vector for three-phase PWM rectifier [ J ] . Journal of electrical engineering and technology , 2020 , 16 ( 1 ):267-276
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[ 6 ] 肖雄,武玉娟,孙广达,等 . 基于自适应神经网络观测的无电压传感器 PWM 整流器功率预测控制[ J ] . 中国电机工程学报,2021 , 41 ( 3 ): 1135-1146.
[ 7 ] CHITRALEKHA J , SRIKANTA M , SANHITA M , et al. Power quality improvement by reduction of total harmonic distortion( THD ) using PWM inverter [ J ] . International journal of innovative technology and exploring engineering , 2019 , 9 ( 2 ): 1641-1643.
[ 8 ] 杨肖,方纪村,刘传亮 . 基于模糊自适应控制的三相PWM 整流器的研究[ J ] . 计算技术与自动化, 2017 , 36( 4 ): 29-32 , 45.

备注/Memo

备注/Memo:
收稿日期: 2021-12-16
基金项目:陕西国防工业职业技术学院科研项目( Gfy22 53 )
作者简介:胡春龙 ( 1988- ),男,陕西西安人,硕士,讲师,研究方向为机电一体化技术。
更新日期/Last Update: 2022-11-01