Supervsion of classical PID adpative regulators using fuzzy logic techniques

Abstract

This work describes the supervisory task of controlled plants whose strategy is based on classical adaptive PID regulators. The supervisory task includes the detection of the dynamic behaviour. According to this it decides whether to perform the autotuning, as a result of the defuzzification of a rule-base proposed for this purpose. The result of the fuzzy rule-base is applied in sequential mode to a deterministic rule-base (Boolean), whose conclusion serves to initiate the state of the regulator in the plant.