Fuzzy learning tracking of the feed-supporting system for the square kilometre array

Abstract

Encounter to the characteristics of time-varying and large delay constant of cable-feed supporting system for the next generation large radio telescope-square kilometer array (SKA), a fuzzy model reference learning controller (FMRLC) is developed to realize the feed coarse tracking. The FMRLC consists of a direct fuzzy controller, a reference fuzzy inverse model and a fuzzy learning mechanism. This FMRLC adjusts the direct fuzzy controller so that the closed-loop system acts like a pre-specified reference model using the fuzzy learning mechanism. The simulation results have shown that the tracking precision is much favorable to hold in the tolerance of fine-tuning Stewart platform, which have built a solid base for the engineering implementation of the high precision tracking of the feed for the SKA.