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计算机系统应用英文版:2020,29(2):83-93
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基于卡尔曼滤波数据融合算法的智能钓鱼竿系统
(杭州师范大学 信息科学与工程学院, 杭州 311121)
Intelligent Fishing Rod System Based on Kalman Filter Data Fusion
(School of Information Science and Engineering, Hangzhou Normal University, Hangzhou 311121, China)
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Received:July 08, 2019    Revised:July 24, 2019
中文摘要: 针对目前国内市场智能钓鱼竿功能不足的问题,本文通过四元数法对鱼竿姿态解算,利用基于卡尔曼滤波的数据融合算法,并以微处理器STM32为核心搭建uC/OS-II操作系统,结合多种环境传感器和串级PID控制方法,设计了一种具有智能选钓位、智能报警及自动遛鱼等功能的智能钓鱼竿系统.实验结果表明,该系统不仅能极大地减少短线跑鱼的几率,而且为恶劣环境下自动钓鱼提供可能.
Abstract:In order to cope with the problem of insufficient function of intelligent fishing rod in domestic market, this study designs an intelligent fishing rod system, which has the functions of fishing region selection, intelligent alarm and automatic walking fish. The study mainly solves the attitude of fishing rodby using quaternion method, adopts a data fusion algorithm based on Kalman filter, and builds the uC/OS-II operating system with the core microprocessor STM32, combined with various environmental sensors and cascade PID method. The results indicate that this system can not only reduce the probability that fish escape from the short line, but also provide the chance of automatic fishing in harsh environment.
文章编号:7278     中图分类号:    文献标志码:
基金项目:国家自然科学基金(61571174)
引用文本:
陈小磊,岳俊峰,李秀梅.基于卡尔曼滤波数据融合算法的智能钓鱼竿系统.计算机系统应用,2020,29(2):83-93
CHEN Xiao-Lei,YUE Jun-Feng,LI Xiu-Mei.Intelligent Fishing Rod System Based on Kalman Filter Data Fusion.COMPUTER SYSTEMS APPLICATIONS,2020,29(2):83-93