Experimental Study of Human Performance in High Precision Tracking Task Using Iterative Learning Technique

Abstract

In this paper, the ability of a human operator in tracking the desired trajectory with high precision using an iterative learning technique is studied. Experiments are designed to provide the best perception of data and fine control to the human operator. Results of the experiments show the ability of the human operator to perform the tracking tasks very precisely. The convergence of the human control input to the desired control input is observed to be fast. Furthermore the control strategy of the human operator is analyzed in this paper.