基于单神经元自适应的PWM整流器控制方法研究  

Research on Control Method of PWM Rectifier Based on Single Neuron Adaptive

作　　者：胡春龙 HU Chunlong(Shaanxi Defence Vocational and Technical College,Xi’an 710300,China)

机构地区：[1]陕西国防工业职业技术学院,陕西西安710300

出　　处：《机械与电子》2022年第10期20-24,共5页Machinery & Electronics

基　　金：陕西国防工业职业技术学院科研项目(Gfy22-53)。

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。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.

关 键 词：PWM整流器 单神经元 PID 前馈解耦 

分 类 号：TM461[电气工程—电器] TP273[自动化与计算机技术—检测技术与自动化装置]