Stabilizing the Transients in the Objects and Systems Controlling the Compensation of Nonlinear ACS (Automatic Control System) Elements

Abstract

Any real control system contains one or more associated highly nonlinear elements. The very presence of such elements in automatic control systems causes adverse effects such as reduction in the stability margin, the emergence of self-oscillations (causing a faster wear of mechanisms), as well as greater static error. Improving the quality of transients in automatic control systems (ACS) as well as the techno-economic indicators of control systems by nonlinear control of the ACS processes has served as the necessary basis for creating a software suit based on a fuzzy compensator capable of configuring itself. The paper presents the results of studies into nonlinear elements of automatic control systems; it dwells upon a novel fuzzy approach to compensating the associated nonlinearities. The paper demonstrates the effectiveness of a software module that uses soft computing to automatically configure a fuzzy controller. It presents an example of compensating a nonlinear deadband element; control quality assessments and their comparisons are given.