DESIGN OF PID - LIKE SUGENO - BASED FUZZY LOGIC CONTROLLERS TO GENERATOR SPEED CONTROL OF A HYDROPOWER PLANT

Abstract

Fuzzy logic - based control strategies have been considered to be a feasible
replacement of conventional PID regulators due to their dominant advantages.
One of the most outstanding characteristics of a fuzzy logic - based control
scheme is that the system might not require full parameters as well as an exact
model; instead, it depends only upon experts’ understanding about the control
plant. This paper proposes the design of a novel PID - like Sugeno - based fuzzy
logic controller. With a significant set of fuzzy rules and four scaling factors tuned
by a proper optimization method, such a Sugeno - based inference model is
completely able to solve a lot of complicated control problems. A typical control
issue concerning the speed stability of generators in hydropower plants applying
the studied fuzzy logic controllers will also be taken into consideration.
Promising simulation results obtained demonstrate effectiveness and
applicability of the control methodology proposed in this study.