Ganesh. U. L¹, M. Krishna¹, S. A. Hariprasad² and Sravani Krishna Rau², ¹Visvesvaraya Technological University, India and ²R.V.C.E, India

Keeping of vehicles on track under non-linear dynamics conditions is important for unmanned navigation, because it saves fuel and journey time. Keeping this in view, an efficient model is required for controller that incorporates non-linear dynamics. Currently researchers are using models like “A-R”,“M-A”, “ARMA”, “ARMA with Exogenous Input”, to improve the accuracy of tracking, but still drawback exists because of identical disturbance random sequence and excessive control effort. Hence “ARIMA” model is used which overcomes these disadvantages. This paper discusses design details of “ARIMA” model along with comparisons of other models used for ship tracking.

Generalized Predictive Controller, CARIMA, Non-Linear