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Alternative TitlePrediction Method Research on Motion Attitude of UnmannedSemi - submersible Vehicle
于金波; 胡志强; 耿令波; 杨翊
Source Publication计算机仿真
Contribution Rank1
Funding Organization中国科学院青年创新促进会—国家重点研发计划课题(2016YFC0301601)
Keyword半潜式无人艇 姿态预报 时间序列分析预报 灰色预报
Other AbstractThe motions of yaw and pitch of the unmanned semi - submersible vehicle are influenced by the external environment,which affects the effectiveness of the motion control system. For this problem,we used time series analysis prediction method and gray prediction method to study the prediction method of motion attitude of the unmanned semi - submersible vehicle. According to the motion data of yaw and pitch of the unmanned semi - submersible vehicle under normal working conditions,the AR model and the GM ( 1,1 ) model were established and the real - time forecasting simulation and comparison were carried out. The simulation results show that the AR model and the GM ( 1,1 ) model have good overall prediction results for the motions of yaw and pitch. In comparison,the overall prediction effects of the AR model on the two kinds of attitudes are better than that of the GM ( 1,1 ) model. In conclusion,the AR model is a feasible method for the prediction of the motion attitude of the unmanned semi - submersible vehicle.
Document Type期刊论文
Corresponding Author于金波
Recommended Citation
GB/T 7714
于金波,胡志强,耿令波,等. 半潜式无人艇运动姿态预报方法研究[J]. 计算机仿真,2018,35(2):251-256.
APA 于金波,胡志强,耿令波,&杨翊.(2018).半潜式无人艇运动姿态预报方法研究.计算机仿真,35(2),251-256.
MLA 于金波,et al."半潜式无人艇运动姿态预报方法研究".计算机仿真 35.2(2018):251-256.
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