吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (3): 897-903.doi: 10.13229/j.cnki.jdxbgxb201603033

• Orginal Article • Previous Articles     Next Articles

Parameter identification of ship's maneuvering motion based on improved least square method

QIN Yu-gang, MA Yong, ZHANG Liang, LI Teng-fei   

  1. College of Shipbuilding Engineering,Harbin Engineering University, Harbin 150001,China
  • Received:2014-10-27 Online:2016-06-20 Published:2016-06-20

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Abstract: In order to solve the problem of parameter identification of ship's maneuvering motion, a fast convergent iterative least square algorithm is presented, in which the nonlinear and non-stationary characteristics of the ship motion in time domain are taken into consideration. First, the first-order and second-order nonlinear response motion of the ship are estimated and discretized. Then, the parameters are identified using the proposed least square algorithm, which is improved by using iterative learning and introducing p-type learning rate. The convergence of the algorithm is also analyzed. Simulation experiments are conducted and results show that the speed and precision of parameter identification are improved using this algorithm. This demonstrates that the proposed algorithm is feasible and effective.

Key words: computer application, least square method, parameter identification, interactive learning, ship maneuvering, response model

CLC Number: 

  • U661
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