Design and simulation of a state-variable control system for the positioning of a milling table using the internal model principle

Abstract

The servosystems which drive a milling table must be capable of asymptotic tracking and disturbance rejection, and must be robust. The internal model principle is a general method developed by Davison, Desoer and Wonham which achieves asymptotic tracking and disturbance rejection, and is robust. In this thesis, a state-variable control system for the positioning of a milling table is designed by using the internal model principle. The control system is simulated as both a continuous-time system and as a discrete-time system. Results of the simulation indicate that a microprocessor-driven version of the state-variable discrete-time control system is a feasible and practical method of control.