Modeling and calibration of automatic guided vehicle

Abstract

This paper presents a modeling of an automatic guided vehicle (AGV) to achieve an advanced control. The modeling includes 3 kinds of choices; a choice of input-output data pair from 15 candidate pairs, a choice of system identification technique form 5 candidate techniques, a choice of discrete to continuous transform method from 2 candidate methods. An approach for calibration between a statistical model and a physical model is also here. The models are combined according to the weight of AGV.