Performance Analysis of Ship Tracking using PID/Predictive Controller

Abstract

: Accurate ship navigation is very essential for
saving fuel as well time. In order to achieve accurate tracking in
unmanned ship navigation various controllers like PID,
Predictive and Adaptive controllers are used. Each one is
having its own merits and demerits but the Predictive controller
provides better tracking. The only major limitation of
Predictive and Adaptive controllers is that they are
computationally heavy. In order to reduce the computational
time, researches have come up with various matrix inversion
techniques [7]. In this work an attempt is made to evaluate the
performance of PID and Predictive controllers in terms of
tracking efficiency and computational time. Computational
result evaluated using mat lab shows that Predictive controller
with matrix inversion technique provides better tracking and
takes less time.