Reduction of Fuzzy Rules–An Approach Using Hybrid FLC with Equilibrium Value

Conventional fuzzy logic controllers (FLC) are frequently being used to wherever the load is non-linear or when the mathematical model of a plant is unknown or to make a system or plant robust to external disturbances. The main working of the fuzzy logic controller depends upon the number of rules present in the rule base. Higher the number of rules better is the performance. However, with the increased rules the computational memory and computational time required increases considerably. This increase in memory and time slows down the process there by reducing the effectiveness of the FLC. In this paper, the focus is to reduce the rules while keeping performance of the FLC similar to that of the large fuzzy rules using a novel method of Hybridization with equilibrium value. The proposed method reduces the number of rules present in the fuzzy logic controller reducing the computational time and memory resulting in better performance of the FLC. Simulations are performed and analyzed to show the effectiveness of the proposed FLC.