Fuzzy Logics Design for SCIM

Hey there, I'm John. I work with a technology based design company dealing with artificial intelligence and machine learning. In this case, I want an FLC model that can control an IM motor automatically. I want performance based comparative study fuzzy logic controller (FLC) to control the speed of squirrel-cage induction motor (SCIM) by replacing the conventional proportional−integral (PI) controller. The fuzzy logic based controller should not require any identification of motor dynamic to control its speed and disturbance rejection with high robustness. Performances of the different fuzzy controllers (i.e. PD−, PI − and PID−like) are also to be compared with the conventional PI speed controller in terms of several performance measures such as peak overshoot (Mp%), settling time (ts), rise time (tr), steady state error (ess), integral absolute error (IAE), integral squared error (ISE), integral of time-multiplied absolute error (ITAE) and integral of time-multiplied squared error (ITSE), at different values of load (torque). Simulations should be done to show the effectiveness of the controllers based on fuzzy logic techniques and, for each performance index, the PI−like fuzzy speed controller outperformed its conventional counterpart. MATLAB should be used for the simulations.

Project ID: 19445784