Application of Fuzzy Multi-Cascade Control During Modeling of Universal Non-Linearity Compensator

Abstract

Most often, the automatic control systems include one non-linear element or population of the non-linear elements. Presence of these elements, not attributable to the control object and occurring in the systems in certain cases, may affect the quality of control. This is manifested in increasing control error, increasing duration of transient process, loss in system stability, occurrence of self-oscillation regimes. Therefore, the adverse effect of the non-linear elements shall me eliminated in order to improve the control quality. The article describes the use of system of compensating generators, which introduce an auxiliary (compensating) deviation control signal. The paper considers the use of intelligent control system, which allows reduction of control error by using the fuzzy logic compensators. A multi-cascade control system as well as methods of compensation of non-linear elements occurring in the automatic control systems are shown.