首页 | 本学科首页   官方微博 | 高级检索  
     

干扰因素下无线电能传输频率控制算法研究
引用本文:杨建.干扰因素下无线电能传输频率控制算法研究[J].电源学报,2020,18(1):168-175.
作者姓名:杨建
作者单位:四川大学锦江学院电气与电子信息工程学院
基金项目:基于液晶透镜的深度成像研究
摘    要:为了提高无线电能传输WPT(wireless power transmission)负载端接收功率以及效率,增强传输的稳定性,研究无线电能传输系统过耦合干扰因素下无线电能传输频率控制算法,解决在该种干扰因素下频率分裂引起的传输功率下降问题。采用自适应频率跟踪WPT系统,依据DSP控制DDS(direct digital synthesis)自动调节输出频率,完成无线电能传输频率的自适应跟踪控制。采用改进粒子群优化算法,以进化因子和时间变动为依据进行自适应调整粒子的惯性权重和学习因子,提高粒子寻求最优解的速度和粒子算法的搜索力,获取无线电能传输系统功率和效率的最优值,增强频率跟踪的速度和精度。结合Zigbee,向DSP中植入改进粒子群优化算法,控制无线电能传输系统射频源频率,完成无线电能传输系统功率和效率同步频率跟踪,增强过耦合运行状态下无线电能传输负载端接收功率及效率。实验表明,该控制算法可在临界耦合点前提高无线电能传输系统整体功率,且能提高无线电能传输系统效率,系统发射端频率得到平稳控制,性能得到改善。

关 键 词:干扰因素  无线电能  传输频率  控制  自适应  粒子群优化算法
收稿时间:2019/9/26 0:00:00
修稿时间:2020/2/26 0:00:00

Research on Frequency Control Algorithm for Wireless Power Transmission under Interference Factors
YANG Jian.Research on Frequency Control Algorithm for Wireless Power Transmission under Interference Factors[J].Journal of power supply,2020,18(1):168-175.
Authors:YANG Jian
Affiliation:School of Electrical and Electronic Information Engineering, Jinjiang College, Sichuan University, Meishan 620860, China
Abstract:In order to improve the power and efficiency received at the load end of radio energy transmission and enhance the quality of transmission, the algorithm of radio energy transmission frequency control under the over-coupling interference factor of radio energy transmission system is studied to solve the problem of transmission power decline caused by frequency splitting under such interference factor. The adaptive frequency tracking WPT system is used to automatically adjust the output frequency according to DDS controlled by DSP to complete the adaptive tracking control of radio energy transmission frequency. With the improved particle swarm optimization (pso) algorithm, based on evolutionary factor and time changes with adaptive inertia weight adjustment particles and learning factor, improve the speed of the particles to seek the optimal solution and the search ability of particle algorithm, obtain the efficiency of the wireless power transmission system and the optimal value, enhance the speed and precision of frequency tracking, and connecting with the Zigbee, the DSP in the improved particle swarm algorithm can control the radio transmission system rf source frequency, efficiency of wireless power transmission system, synchronous frequency tracking, enhanced coupling operation state, the radio can transmit load received power and efficiency. Experiments show that the control algorithm can improve the overall power of the radio energy transmission system before the critical coupling point, improve the efficiency of the radio energy transmission system, control the transmitting end frequency smoothly, and improve the performance.
Keywords:interfering factors  radio energy  transmission frequency  control  adaptive  particle swarm optimization
本文献已被 CNKI 维普 等数据库收录!
点击此处可从《电源学报》浏览原始摘要信息
点击此处可从《电源学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号