光电跟踪伺服系统建模及稳定性研究

发布时间：2018-05-03 10:57

本文选题：光电 + 跟踪　；参考：《激光杂志》2017年11期

【摘要】：为了解决传统控制器的光电跟踪伺服系统存在的抗干扰性低以及稳定性差的缺陷,对光电跟踪伺服系统建模及稳定性进行研究,提出基于神经网络的光电跟踪伺服系统。分析了光电跟踪伺服系统的直流力矩电机建模、脉冲宽度调制功率放大器建模以及测速电机、测角装置传递函数、速率陀螺传递函数的塑造过程,实现总体光电跟踪伺服系统的建模。采用神经网络控制器对光电跟踪伺服系统实施稳定性分析。实验结果说明,该系统具有较高的稳定性,可对加速运动目标进行快速响应和稳定跟踪控制。
[Abstract]:In order to solve the problems of low anti-interference and poor stability in the photoelectric tracking servo system of the traditional controller, the modeling and stability of the photoelectric tracking servo system are studied, and a photoelectric tracking servo system based on neural network is proposed. The modeling of DC torque motor, pulse width modulation power amplifier and the transfer function of speed measuring motor, angle measuring device and rate gyro are analyzed. Achieve the overall photoelectric tracking servo system modeling. Neural network controller is used to analyze the stability of photoelectric tracking servo system. The experimental results show that the system has high stability and can be used for fast response and stable tracking control of the accelerating target.
【作者单位】：江苏省光伏风电控制工程研发中心;苏州经贸职业技术学院应用电子系;金华市兴飞机器人有限公司;东南大学机械工程学院;
【基金】：国家自然科学基金(61175069)
【分类号】：TM921.541

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