Title :
Parameter identification of autonomous underwater vehicle dynamic model
Author :
Natalia A. Zhabko
Author_Institution :
St. Petersburg State University, 7/9, Universitetskaya nab., 199034, Russia
Abstract :
The problem of parameter identification of nonlinear dynamic models in horizontal and vertical planes of autonomous underwater vehicle is considered in this paper. To estimate the parameters of nonlinear models the algorithm based on the prediction error minimization is proposed, and then the estimated nonlinear models are used to find the adequate linear model for motion control system synthesis.
Keywords :
"Mathematical model","Vehicles","Marine vehicles","Data models","Vehicle dynamics","Predictive models","Estimation"
Conference_Titel :
"Stability and Control Processes" in Memory of V.I. Zubov (SCP), 2015 International Conference
DOI :
10.1109/SCP.2015.7342221