光学精密工程2018，Vol.26Issue(12)：2949-2955,7.DOI:10.3788/OPE.20182612.2949
神经网络非线性智能控制在光电跟踪系统中的应用
Application of neural network-based nonlinear intelligent control in electro-optical tracking systems
摘要
Abstract
A neural network-based nonlinear intelligent control method was proposed for electro-optical (EO) tracking systems to overcome the performance reduction caused by the complex nonlinearity existent in real systems.A radial basis function neural network supervisory control structure was employed, and the associated advantages and characteristics were expatiated in the proposed study.Furthermore, a tracking experiment was conducted for performance evaluation.The obtained experimental results demonstrate that the disturbance attenuation performance can vary from-28 dB to-51 dB within the disturbance frequency of 1 Hz and amplitude of 3°, which indicates an improvement of15 dB over the PID control method.The results also indicate that EO tracking technology based on neural network control possesses the advantage of intelligent optimized tracking by learning a system's nonlinear information without human intervention.Hence, compared to conventional tracking algorithms, neural network-based EO tracking technology can be incorporated more effectively in complex application environments.关键词
光束跟踪/神经网络/非线性控制/智能控制Key words
electro-optical tracking system/neural network/nonlinear control/intelligent control分类
信息技术与安全科学引用本文复制引用
林贻翔..神经网络非线性智能控制在光电跟踪系统中的应用[J].光学精密工程,2018,26(12):2949-2955,7.基金项目
装备预研基金资助项目(No.41411040101, No.315040303) （No.41411040101, No.315040303）
