This paper deals with the problems of robot control and the hardware required for study of various control algorithms on a four-degree-of-freedom laboratory-type robot. The authors investigate combining a classical high-gain controller based on quantitative feedback control theory (QFT) with an adaptive control strategy. The new technique, named "fine-tuned QFT control scheme," is applied to control a four-degree-of-freedom robot arm for trajectory tracking. The entire control scheme was implemented on an IBM-compatible personal computer to drive a four-axis robot in real time. The main results of the experiments and the hardware and software issues are presented, and some comparative studies are made.
Available at: http://works.bepress.com/mahmoud_moghavvemi/128/