首页|基于非线性分析的无线通信识别系统优化研究

基于非线性分析的无线通信识别系统优化研究

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为了进一步提升插秧机的通信效率及整机作业效率,以无线通信识别模块为研究对象,基于非线性分析控制理论展开优化研究.结合插秧机的作业环境特征和各组件协调作业特点,从通信信号的非线性处理和保证抗干扰能力角度入手,建立通信识别系统的非线性控制器模型,并针对系统的输入输出和接口模块完成电路控制与程序优化布局.同时,进行插秧作业通信监测验证试验,结果表明:此非线性分析应用机理下,插秧机作业的智能性与精准性得到显著提高,通过非线性控制实现了细致有效的数据计算分析,通信传输效率相对提升了 5.69%,插秧深度合格率可达 96.78%,满足智能插秧设计要求.
Research on Optimization of Wireless Communication Identification System Based on Non-linear Analysis
To further improve the communication efficiency and the working efficiency of the rice transplanter,the wire-less communication identification module was selected as the research object,and the optimization research was carried out based on the nonlinear analysis control theory.Combined with the characteristics of the working environment of the rice transplanter and the characteristics of the coordinated operation of each component,the nonlinear controller model of the communication recognition system was established from the perspective of the nonlinear processing of the communica-tion signal and the assurance of the anti-interference ability.The circuit control and program optimization layout were completed for the input/output and interface modules of the system,and the communication monitoring verification test for the rice transplanter was carried out,the results showed that the intelligence and accuracy of the transplanter operation under the application mechanism of this nonlinear analysis had been significantly improved.Through the detailed calcula-tion and analysis of effective data through nonlinear control,the communication transmission efficiency of the system had been relatively improved by 5.69%,and the qualification rate of the transplanting depth could reach 96.78%,which had met the requirements of the intelligent transplanting design index.

intelligent transplantingwireless communication recognitionnonlinear analysiscircuit controlcommuni-cation transmission efficiency

王永虎、乔旭安

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重庆交通大学,重庆 402265

重庆城市职业学院,重庆 402160

智能插秧 无线通信识别 非线性分析 电路控制 通信传输效率

2025

农机化研究
黑龙江省农业机械工程科学研究院 黑龙江省农业机械学会

农机化研究

北大核心
影响因子:0.668
ISSN:1003-188X
年,卷(期):2025.47(1)