摘要
为实现方位保持平台高精度快速反应的要求,针对方位保持平台的工作特点,提出了采用BP神经网络控制算法的三级温度控制策略。试验结果表明该温控系统及算法可有效缩短方位保持平台的反应时间,提高方位保持平台的保持精度,是一种实用而有效的温度控制方法。
Aiming at the characteristics azimuth holding platforms, in order to achieving fast response, a new three-level temperature control approach based on BP neural network algorithm is presented. The results of experiment indicate that with this temperature control system and algorithm the responses time of azimuth holding platform is shorten, the holding precision is improved, and it proved to be an applied and effective temperature control method.
出处
《微电子学与计算机》
CSCD
北大核心
2005年第5期147-150,共4页
Microelectronics & Computer
基金
总装备部重大型号项目
关键词
温度控制
BP神经网络
惯性平台
PID控制
Temperature control, Inertial platform, BP neural network, PID algorithm
