摘要
在分析开关磁阻发电机(SRG)输出电压脉动原因的基础上,设计了一种基于遗传算法(GA)寻优的抗干扰控制器。该控制器将影响电压脉动的各个因素作为反馈信号,构成以输出电压、原动机转速及负载电流等状态量为反馈回路的多闭环控制系统。利用GA解算模块,优化系统的控制参数,从而提高输出电压的品质。建立基于有限元电磁分析的SRG模型,并在Simulink仿真环境下进行抗干扰控制器的负载实验和转速实验。最后基于实验平台对该方法进行验证,结果证实该控制器可有效减小输出电压脉动,提高SRG的动态特性。
According to the causes of output voltage ripples in switched reluctance generator （SRG）, anti-interference controller is designed based on optimization of genetic algorithm（GA）.Considering the causes of output voltage ripples as the feedback signals, the control system is constituted with multiple closed-loop of output voltage, prime mover speed and load current.GA calculation module is used to optimize system＇s control parameters for better output volt- age quality.The model of SRG is constituted based on the analysis of electromagnetic finite element,the speed test and load test are done in Simulink.Finally,the proposed method is verified based on platform.Results show that anti- interference controller can effectively reduce SRG＇s output voltage ripples and promote dynamic characteristic.
出处
《电力电子技术》
CSCD
北大核心
2017年第10期54-57,共4页
Power Electronics
基金
陕西省自然科学基金(S2015yfjm0413)~~
关键词
开关磁阻发电机
电压脉动
抗干扰控制器
遗传算法
switched reluctance generator
voltage ripple
anti-interference controller
genetic algorithm
