Title :
Convergence rates of an adaptive control algorithm with application to the speed control of a DC machine
Author :
Benchoubane, H. ; Stoten, D.P.
Author_Institution :
Fac. of Eng., Bristol Univ., UK
Abstract :
A method of obtaining the convergence rates of the minimal-controller synthesis (MCS) strategy, as applied to a first-order SISO (single-input-single-output) plant, is described. The MCS algorithm is a significant development of model reference adaptive control, and is based on the hyperstability theory of Popov. Bounds are provided on the speed of convergence of the closed-loop error dynamics. It is shown that no knowledge of the plant dynamics is required, apart from an estimate of the low-frequency gain. An estimate of the plant output settling-time is derived. The problem of MCS speed control as applied to a DC machine is investigated from an error-convergence viewpoint
Keywords :
DC machines; control system synthesis; convergence; machine control; model reference adaptive control systems; stability; velocity control; DC machine; closed-loop error dynamics; convergence rates; error-convergence; first-order SISO plant; hyperstability theory of Popov; minimal-controller synthesis; model reference adaptive control; output settling-time; speed control; Adaptive control; Computer errors; Convergence; DC machines; Equations; Frequency estimation; Pi control; Programmable control; Proportional control; Velocity control;
Conference_Titel :
Industrial Electronics Society, 1990. IECON '90., 16th Annual Conference of IEEE
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-87942-600-4
DOI :
10.1109/IECON.1990.149172
