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浙江大学学报(工学版)
浙江大学学报(工学版)  2020, Vol. 54 Issue (5): 1029-1038    DOI: 10.3785/j.issn.1008-973X.2020.05.022
航空航天技术     
基于模糊逻辑控制的卫星功率控制方法
刘鹏程(),徐九凌,黄家骏,张朝杰*()
浙江大学 微小卫星研究中心，浙江 杭州 310027
Satellite power control method based on fuzzy logic control
Peng-cheng LIU(),Jiu-ling XU,Jia-jun HUANG,Chao-jie ZHANG*()
Micro-satellite Research Center, Zhejiang University, Hangzhou 310027, China
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摘要：

卫星通信系统中码分多址的接入方式会引起远近效应问题，针对此问题提出基于模糊逻辑控制的功率控制方法.在内环功率控制中控制各从星的发射功率，使各从星到达主星的接收功率平衡；在外环功率控制中，模糊逻辑控制器通过动态调节目标功率为最佳的方式，提高总体测距精度. 在Matlab仿真中将该功率控制方法与传统的固定步长功率控制方法进行对比，仿真结果表明，2种方法均能使各从星到达主星的功率趋于相等，并追踪最小的从星功率，但是基于模糊逻辑控制的功率控制方法的响应速度更快. 在测控应答机上，搭建1颗主星与3颗从星之间通信的实验平台. 实验结果表明，使用功率控制后，卫星编队的总体测距精度从60 cm提高到20 cm，各从星到达主星的功率平衡.
关键词： 卫星编队;  卫星通信系统;  功率控制;  模糊逻辑控制;  测距精度    
Abstract:

A power control method based on fuzzy logic control was proposed, aming at the problem that the access method of code division multiple access in the satellite communication system may cause problems such as near-far effect. The transmission power of each slave star was controlled in the inner loop power control, so that the received power of each slave star to the master star was balanced. The fuzzy logic controller improved the overall ranging accuracy by dynamically adjusting the target power to the best in the outer loop power control. The proposed power control method was compared with the traditional fixed step power control method in the simulation of Matlab. Simulation results show that both methods can make the power from each slave star to the master star equal, and track the minimum slave power. However, the power control method based on fuzzy logic control has faster response. An experiment platform for communication between a master star and three slave stars was established on the monitoring and control transponder. Experimental results showed that after power control, the overall ranging accuracy of satellite formation was increased from 60 cm to 20 cm, and the power from each slave star to the master star was balanced.
Key words: satellite formation    satellite communication system    power control    fuzzy logic control    ranging accuracy
收稿日期: 2019-04-23 出版日期: 2020-05-05
CLC:  V 11  
基金资助: 国家杰出青年基金资助项目（61525403）
通讯作者: 张朝杰     E-mail: 21824029@zju.edu.cn;zhangcj@zju.edu.cn
作者简介: 刘鹏程（1996—），女，硕士生，从事卫星通信研究. orcid.org/0000-0002-2170-0730. E-mail： 21824029@zju.edu.cn
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引用本文:

刘鹏程,徐九凌,黄家骏,张朝杰. 基于模糊逻辑控制的卫星功率控制方法[J]. 浙江大学学报(工学版), 2020, 54(5): 1029-1038.

Peng-cheng LIU,Jiu-ling XU,Jia-jun HUANG,Chao-jie ZHANG. Satellite power control method based on fuzzy logic control. Journal of ZheJiang University (Engineering Science), 2020, 54(5): 1029-1038.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2020.05.022    或    http://www.zjujournals.com/eng/CN/Y2020/V54/I5/1029

图 1  从星A、B和主星之间的关系
图 2  闭环功率控制的模型图
图 3  传统固定步长功率控制算法的模型图
图 4  输入变量与输出变量的隶属函数
Mfour ΔPtar
RNmin=NE(负) RNmin=NZ(负零) RNmin=PZ(正零) RNmin=PO(正)
S(小) NS(负较小) ZE(近似零) ZE(近似零) PS(正较小)
M(中) NS(负较小) ZE(近似零) ZE(近似零) PS(正较小)
L(大) NL(负较大) NS(负较小) PS(正较小) PL(正较大)
表 1  模糊逻辑控制规则
图 5  输入变量与输出变量的模糊控制曲面
卫星 T/s E I/（o） AN/（o） N/（o） t/s
A 24 000 0.100 45 0.201 5 18.000 0 0 22.56
B 24 000 0.100 20 0.202 0 18.061 5 0 17.35
C 24 000 0.100 00 0.200 0 18.000 0 0 22.60
D 24 000 0.100 00 0.200 0 18.000 0 0 21.00
表 2  卫星轨道参数表
图 6  未功率控制时3颗从星的功率曲线
图 7  基于模糊逻辑控制方法的功率控制仿真曲线
图 8  传统固定步长的功率控制仿真
图 9  传统固定步长的功率控制方法与基于模糊逻辑控制的功率控制方法的功率控制偏差曲线
图 10  基于模糊逻辑控制的功率控制实验验证平台
图 11  无功率控制时的测距精度
图 12  基于模糊逻辑控制的功率控制方法的测距精度图
图 13  3个通道的接收功率变化图
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