Comparison of PI and Fuzzy Logic Control for Speed Control of Induction Motor for Marine Application

EasyChair Preprint 8656

Abstract

This work describes the design and development of a Modular Multilevel Inverter (MMI) that uses intelligent ways to manage the Induction Motor (IM) drive in maritime water pumping applications. The suggested inverter has eleven stages and can adjust the speed of an IM drive that is powered by solar photovoltaic panels. Pumping techniques require roughly half of the total energy consumed onboard a ship, according to estimates. In view of this, this study explores and verifies suggested control architecture for a maritime water pumping system with an induction motor (IM) drive and MMI. For better performance, Proportional-Integral (PI) and Fuzzy Logic (FL) based controllers are used to analyze the inverter. A comparison was done in terms of greater robustness in terms of peak overshoot, controller settling time, and inverter Total Harmonic Distortion (THD). The simulations are carried out in MATLAB/Simulink. The results are used to examine controller performance, better inverter output voltage, dependable induction motor speed control, and enhanced power quality through harmonic reduction.

Keyphrases: Field Programmable Gate Array, Fuzzy Logic Controller, Induction motor drive, Modular Multilevel Inverter, Proportional Integral, Total Harmonic Distortion

@booklet{EasyChair:8656,
  author    = {Tanvi Potdar and M. V. Jape},
  title     = {Comparison of PI and Fuzzy Logic Control for Speed Control of Induction Motor for Marine Application},
  howpublished = {EasyChair Preprint 8656},
  year      = {EasyChair, 2022}}