基于小型发射平台随动系统设计与研究

【作者】 陈龙；

【导师】 李志刚；

【作者基本信息】 南京理工大学 ， 兵器发射理论与技术， 2009， 硕士

【摘要】 随着现代军事科学技术的发展,需要通过引入新技术,改进或更新控制系统,大幅度提高火箭炮调炮精度和跟踪精度,为了适应多管火箭炮的发展要求,本文以某小型发射平台随动系统作为研究平台,主要研究了随动系统的控制算法,以先进控制理论为基础,对神经PID进行了深入研究。分析了永磁同步电动机的数学模型,对永磁同步电机电压空间矢量脉宽调制SVPWM控制技术进行了研究,实现了基于DSP的SVPWM。运用永磁同步电机的矢量控制原理在Matlab/Simulink中建立了仿真模型,对经典PID、单神经元的PID、RBF网络的PID和BP网络的PID进行了对比分析,提出了BP网络的改进方案。以TMS320F2812 DSP为核心,设计了通信单元、供电单元、功率逆变单元和检测单元,编写了位置控制器程序。最后,以DSP开发板为位置控制器核心,利用现有的小型发射平台随动系统,将基于改进后的BP网络PID算法应用于小型发射平台位置控制器中,通过大量实验,验证了仿真研究与实验结果的一致性,为后续研究奠定了基础。更多还原

【Abstract】 With the change of modern development of military scientific technology, it can using new technology, improve or renovate control system to greatly enhance the positioning and tracking accuracy of multiple rockets, in order to adapt nowadays’ war , my thesis base on a small launch pad , mostly study the servo control arithmetic , using the advanced control theoretics, deeply research the neural PID .Mathematical model of PMSM is analyzed , research the SVPWM technology, particularly make out the method and the process to generate SVPWM make use of DSP . Base on PMSM vector control principle ,using Matlab/Simulink to create simulation model, compared the PID、single neural PID、RBF neural PID and BP neural PID , and analyse the four control arithmetic , to table a proposal to improve the BP network . Then ,using TMS320F2812 DSP ,and adopt modularization idea to design the hardware ,mainly communications、power supply、power switch、measure block and so on; Base on main, using modularization idea to design the subprograms .Finally , using CCS write the improved BP neural PID for position controller, made some experiments on the small launch pad by SEED-DPS2812 , and the experiments proved that the position controller has good fast response and adaptability , identical to the former simulation , and lays the foundation for the following research.更多还原