Trajectory tracking of AGVs by linear parameter-varying control: a case study

Abstract

This paper proposes a linear-parameter varying (LPV) controller design approach for trajectory tracking of an automated guided vehicle (AGV) based on a simple yet nonlinear kinematic model. By linearization of the model about a reference trajectory, an LPV model is readily obtained, which is then augmented with identified linear time-invariant actuator models. An appropriate parameter-dependent controller for the system is designed in an optimal way by specifying the control objectives in terms of H∞ criteria. Its performance is assessed by means of experiments on the considered prototype of an autonomous platform.