Model-based control to enhance a novel two dimensional positioning system

This paper presents a model-based control algorithm to address the delayed feedback that occurs in a novel two dimensional positioning system. The delayed feedback causes the motion control system unable to track the desire setpoint accurately and at the same time introduce following error. Thus, a Modified Smith Predictor is proposed to address the delayed feedback by having an inner plant model to predict the path during the delay. Furthermore, an online system identification scheme is proposed to improve the accuracy of the model used in Modified Smith Predictor. Simulation and experimental results of the Modified Smith Predictor and online system identification are presented.