基于退火PSO-PI与重复PR的图腾柱PFC  

Totem Pole PFC Based on Annealed PSO-PI and Repeated PR

在线阅读下载全文

作  者:贾旭辉 杨理驰 杨晋岭[1] 曹金亮[1] Jia Xuhui;Yang Lichi;Yang Jinling;Cao Jinliang(School of Electrical and Information Engineering,Taiyuan University of Science and Technology,Taiyuan 030024,China;School of Marine Engineering,Jimei University,Xiamen 361021,Fujian,China)

机构地区:[1]太原科技大学电子信息工程学院,太原030024 [2]集美大学轮机工程学院,福建厦门361021

出  处:《科技通报》2024年第5期34-38,45,共6页Bulletin of Science and Technology

基  金:国家自然科学基金(62072325);山西省关键核心技术和共性技术研发攻关专项(20201102011)。

摘  要:功率因数校正(power factor correction,PFC)被广泛应用于车载充电机以提高充电效率、减小对电网产生的谐波污染。本文常用的双闭环比例积分(proportional integration,PI)控制的基础上,研究了退火粒子群算法(particle swarm optimization,PSO-PI)和改进重复比例谐振(proportional resonance,PR)控制,通过退火PSO算法对电压环的PI控制器参数进行优化,提高了响应速度;将电流环由PI控制变为改进重复PR控制,以解决PI控制对高频信号跟踪能力弱的缺点,并选用了近几年比较热门的图腾柱PFC拓扑结构,最终提高了响应速度,降低总谐波畸变率(total harmonic distortion rate,THD)。最后通过Matlab/Simulink仿真验证了控制策略的正确性,相比传统的图腾柱PFC,响应速度得到一定提高,THD值降低了2.07%。PFC(power factor correction)is widely used in on-board chargers to improve charging efficiency and reduce harmonic pollution to the grid.Based on the commonly used double closed-loop PI(proportional integration)control,studied annealed PSO-PI(particle swarm optimization)and improved repetitive PR(proportional resonance)control,and the PI controller parameters of the voltage loop are optimized by annealing PSO algorithm to improve the response speed.The current loop was changed from PI control to improved repetitive PR control to solve the shortcomings of PI control with weak tracking ability of high-frequency signals,and the popular totem pole PFC topology in recent years was selected,which finally improved the response speed and reduced the THD(total harmonic distortion rate).Finally,the correctness of the control strategy is verified by Matlab/Simulink simulation,and compared with the PI-controlled totem pole PFC,the response speed is improved,and the THD value is reduced by 2.07%.

关 键 词:图腾柱功率因数校正 改进重复PR控制 双闭环控制 粒子群算法 模拟退火算法 

分 类 号:TM461[电气工程—电器]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象