Title :
The application of ARIMA in short-timely forecasting for motion of planning boat
Author :
Ma, Weijia ; Zou, Jin ; Pang, Yongjie ; Zhu, Kai
Author_Institution :
State Key Lab. Autonomous Underwater Vehicle, Harbin Eng. Univ., Harbin, China
Abstract :
Steering control system is a promising method for promoting seakeeping of planning boat. It is an important precondition to obtain high-quality input signal for it. Time series analysis method is applied to access the goal. In order to check out whether the method is suitable or not, acceleration data of boat model in seakeeping test is used. Since the data shows strong trend and periodicity, product season ARIMA model is selected for making 20 steps´ prediction. The calculation result is that the max error is not larger than 6% in former ten steps while 16.68% in latter ten steps, which indicates prediction using the model is valid in short time.
Keywords :
boats; steering systems; time series; planning boat; product season ARIMA model; seakeeping test; short-timely forecasting; steering control system; time series analysis method; Boats; Electronic mail; Laboratories; Planning; Time series analysis; Underwater vehicles; ARIMA; planning boat; short-time prediction; time series analysis;
Conference_Titel :
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9762-1
DOI :
10.1109/CSSS.2011.5973924
