A Self-learning Based Fuzzy Controller for Dc Drive Control
نویسندگان
چکیده
A self-learning based methodology for building the rule-base of a fuzzy logic controller (FLC) is presented and verified in a practical experiment. The methodology is a simplified version of those presented in available research papers. Some aspects are intentionally ignored as they rarely appear in control system engineering and a SISO process is considered here. The fuzzy inference system obtained is a table-based Sugeno-Takagi type. System’s desired performance is defined by a reference model and rules are extracted from recorded data, after the correct control actions are learned. Presented algorithm is tested for a DC drive control application.
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