红外与激光工程
紅外與激光工程
홍외여격광공정
INFRARED AND LASER ENGINEERING
2014年
1期
81-87
,共7页
于旭东%徐瑜浓%魏国%龙兴武
于旭東%徐瑜濃%魏國%龍興武
우욱동%서유농%위국%룡흥무
机抖激光陀螺%温度补偿%人工鱼群算法
機抖激光陀螺%溫度補償%人工魚群算法
궤두격광타라%온도보상%인공어군산법
dithered ring laser gyroscope%temperature compensation%artificial fish swarm algorithm
温度是影响激光陀螺精度的主要因素之一,对温度引起的机抖激光陀螺漂移进行精确建模,对提高激光陀螺捷联惯导系统的精度具有十分重要的意义。介绍了机抖激光陀螺的温度特性,建立了基于改进人工鱼群算法(Improved Artificial Fish Swarm Algorithm,IAFSA)的机抖激光陀螺温度补偿模型,给出了IAFSA 建模的详细步骤和方法,对传统的逐步回归方法和IAFSA进行了比较。结果表明:IAFSA可以对温度引起的激光陀螺漂移进行精确建模,补偿后的激光陀螺零偏不稳定性达到0.00185(°)/h,比传统的逐步回归方法建模精度提高了15.5%,得到的温度补偿模型可以对陀螺的零偏进行实时补偿,设计了两种典型的温度试验,获得了满意的补偿效果。
溫度是影響激光陀螺精度的主要因素之一,對溫度引起的機抖激光陀螺漂移進行精確建模,對提高激光陀螺捷聯慣導繫統的精度具有十分重要的意義。介紹瞭機抖激光陀螺的溫度特性,建立瞭基于改進人工魚群算法(Improved Artificial Fish Swarm Algorithm,IAFSA)的機抖激光陀螺溫度補償模型,給齣瞭IAFSA 建模的詳細步驟和方法,對傳統的逐步迴歸方法和IAFSA進行瞭比較。結果錶明:IAFSA可以對溫度引起的激光陀螺漂移進行精確建模,補償後的激光陀螺零偏不穩定性達到0.00185(°)/h,比傳統的逐步迴歸方法建模精度提高瞭15.5%,得到的溫度補償模型可以對陀螺的零偏進行實時補償,設計瞭兩種典型的溫度試驗,穫得瞭滿意的補償效果。
온도시영향격광타라정도적주요인소지일,대온도인기적궤두격광타라표이진행정학건모,대제고격광타라첩련관도계통적정도구유십분중요적의의。개소료궤두격광타라적온도특성,건립료기우개진인공어군산법(Improved Artificial Fish Swarm Algorithm,IAFSA)적궤두격광타라온도보상모형,급출료IAFSA 건모적상세보취화방법,대전통적축보회귀방법화IAFSA진행료비교。결과표명:IAFSA가이대온도인기적격광타라표이진행정학건모,보상후적격광타라령편불은정성체도0.00185(°)/h,비전통적축보회귀방법건모정도제고료15.5%,득도적온도보상모형가이대타라적령편진행실시보상,설계료량충전형적온도시험,획득료만의적보상효과。
Temperature is an important factor for affecting the accuracy of ring laser gyroscope (RLG). The relationship of RLG′s bias to temperature should be established accurately which can improve the precision of RLG strapdown inertial navigation system. Temperature characteristic of RLG was introduced. Temperature compensation method for RLG′s bias based on improved artificial fish swarm algorithm (IAFSA) was established and the steps and methods were given. The traditional modeling method of stepwise regression was also investigated to provide a comparison with the IAFSA. The result shows that the temperature compensation model by IAFSA is accurate. The bias instability of RLG output after compensation is 0.001 85 (° )/h and its precision is 15.5% which is higher than that of the traditional stepwise regression. The results of two typical temperature tests show that temperature compensation model by IAFSA can compensate RLG′s bias real-time.