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基于梯度型最小二乘濾波的船搖隔離度測試研究
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(中國衛星海上測控部,江蘇 江陰 214431)

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蔡 浩(1990-),男,山東泰安人,碩士研究生,主要從事航天測控(伺服控制)方向的研究。 [FQ)]

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Research on Testing Method of Ship Shaking Isolation Based on Gradient Descent and Least-squares Filtering Algorithm
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(China Satellite Maritime Tracking & Control Department, Jiangyin 214431, China)

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    摘要:

    針對傳統船搖隔離度測試方法效率低、誤差大、操作復雜、且不能有效解決擾動(dòng)跳變的不足,對船搖隔離的基本原理進(jìn)行了分析,建立了梯度型最小二乘濾波模型,提出了基于梯度型最小二乘濾波算法對測量數據進(jìn)行濾波處理,利用VC++編程實(shí)現對船搖隔離度的自動(dòng)化測試,并在船舶生搖的條件下進(jìn)行船搖隔離度的測試分析;對比傳統方法測試結果表明,該方法能有效濾除測量數據中的隨機誤差,較大程度地降低了擾動(dòng)跳變的抖動(dòng)量,提高了伺服系統船搖隔離度的測試精度。

    Abstract:

    Traditional testing methods of ship shaking isolation need heavy workload, which has low efficiency and large error. Simultaneously the jitter caused by interference cannot be solved effectively. In order to solve these problems, the principle of ship shaking isolation is analyzed, and the model based on gradient descent and least-squares filtering algorithm is built, the filtering algorithm based on gradient descent and least squares is proposed to filter the measured data, the automated testing of ship shaking isolation is realized through VC++ programming, and the analysis of automated testing under the condition of ship shaking is carried out. Compared to the results tested by traditional methods, the simulation results show that the filtering algorithm which shortens testing time and improves the testing accuracy of ship shaking isolation could filter out random errors in the measurement data effectively, and the jitter caused by interference is significantly decreased.

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蔡浩.基于梯度型最小二乘濾波的船搖隔離度測試研究計算機測量與控制[J].,2017,25(7):21-24.

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  • 收稿日期:2016-12-10
  • 最后修改日期:2017-02-06
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  • 在線(xiàn)發(fā)布日期: 2017-08-10
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