Determination of Optimal PI Gains For Fuzzy-PI Controller Using Bacterial Foraging Algorithm (BFA)

This Paper Presents A Method Of Obtaining Optimal Pi Gains For A Fuzzy-Pi Controller To Control The Frequency Of Micro Hydro Power Plant (Mhpp).Conventional Control Techniques Such As Proportional, Integral And Derivative (Pid) Controllers Have Been Used As Controllers To Control The Frequency Of Mhpp, But These Controllers Attain Poor Control Performances, Such As High Overshoots And Long Settling Times. The Purpose Of The Study Is To Obtain Optimal Pi Gains For A Fuzzy-Pi Controller By Use Of The Bacterial Foraging Algorithm (Bfa) In Matlab/Simulink Environment.The Results Are Then Compared With Conventional Pi And Fuzzy-Pi Controller. This Is To Verify Which Controller Give The Best Control Performance (Pi Gains) In Terms Of Overshoot And Settling Time.It Is Shown That The Optimised Fuzzy-Pi Controller Is Superior In Terms Of Overshoot And Settling Time. This Clearly Depicts That Using Intelligent Techniques Such As Fuzzy Logic And Optimizing The Membership Functions Using Stochastic Optimization Algorithms Can Greatly Improve The Control Performance In The Frequency Control Of Mhpp. Keyword:Pi, Fuzzy-Pi, Bfa, Mhpp, Frequency,Synchronous Generator