Model Based Automatic Regulating Time Series for Feedback Control Systems

摘要

In this literature, a model based nonlinear digital control scheme is proposed for analyses and designs of stable feedback control systems. It is derived from the converging characteristic of two specified numerical time series. The ratios of neighborhoods of the series are formulated as a function of the output of the plant and the reference input command, and will be converged to be unities after the output has tracked the reference input command. Lead compensations are found by another numerical time series to speed up the system responses on the on-line adjusting manner and matching the reference model. A servo system, a time-delay system, a high order system and a very high order system are used to show effectiveness of the proposed nonlinear digital controller. Comparisons with other conventional methods are also made.