提高能效的自主供电系统智能控制算法模型建立与仿真  

Establishment and simulation of intelligent control algorithm model of autonomous power supply system for improving energy efficiency

作　　者：李红斌 王嘉伟 张晶晶 王蕊 窦晨 LI Hongbin;WANG Jiawei;ZHANG Jingjing;WANG Rui;DOU Chen(School of Information,Shanxi Agricultural University,Jinzhong 030800,China)

机构地区：[1]山西农业大学信息学院

出　　处：《现代电子技术》2019年第24期183-186,共4页Modern Electronics Technique

基　　金：国家自然科学基金（U161010092）;山西省教学改革创新项目(J2018245)~~

摘　　要：为解决太阳能电池为机器人系统提供能量效率低下的问题,文中设计开发一种提高能效的自主供电系统。其采用基于模糊逻辑扰动观测算法的智能MPPT充电控制器,该算法通过使用足够精确的预测和自适应算法克服了在功率波动与最大功率点跟踪时间固定等方面的缺点,提高了太阳能电池的效率。为了研究模糊逻辑器件在MPPT算法中的实现,文中在Matlab/Simulink环境下开发了该系统的仿真模型,包括太阳能电池、MPPT控制器、蓄电池和负载。仿真结果表明,MPPT技术的应用使太阳能系统能量产生量提高了23%;将模糊逻辑算法引入MPPT控制器大幅提升了最大功率点跟踪的速度,且抵消了电压波动,从而使功率不足减少了2%。An autonomous power supply system for improving energy efficiency is developed to solve the problem of low energy efficiency of solar cells provided for robotic systems. An intelligent MPPT charging controller based on fuzzy logic perturbation observation algorithm is adopted in the system. The algorithm overcomes power fluctuation and fixed maximum power point tracking time with sufficiently accurate prediction and the adaptive algorithm,and improves the efficiency of solar cells. In order to study the implementation of fuzzy logic devices in MPPT algorithm,a simulation model of the system is developed in the environment of Matlab/Simulink,including solar cell,MPPT controller,battery and load. The simulation results show that the application of MPPT technology increases the energy production of solar energy system by 23%. The introduction of fuzzy logic algorithm into MPPT controller greatly improves the speed of maximum power point tracking,offsets the voltage fluctuation,and reduces the power shortage by 2%.

关 键 词：太阳能电池 自主供电系统 充电控制器 算法模型 智能控制算法 仿真模型开发 

分 类 号：TN876-34[电子电信—信息与通信工程] TP393[自动化与计算机技术—计算机应用技术]