Reduction in iron losses in Indirect Vector-Controlled IM Drive using FLC

TL;DR

This paper presents a fuzzy logic controller for an induction motor drive that optimizes efficiency by minimizing iron and copper losses at steady state while maintaining good dynamic response during load or speed changes.

Contribution

It introduces a fuzzy logic-based efficiency optimization method that adaptively adjusts excitation current for maximum efficiency in an indirect vector-controlled IM drive.

Findings

Drive operates at minimum input power at steady state.

Fuzzy controller maintains efficiency during load and speed variations.

Simulation results confirm improved efficiency and dynamic response.

Abstract

This paper describes the use of fuzzy logic controller for efficiency optimization control of a drive while keeping good dynamic response. At steady-state light-load condition, the fuzzy controller adaptively adjusts the excitation current with respect to the torque current to give the minimum total copper and iron loss. The measured input power such that, for a given load torque and speed, the drive settles down to the minimum input power, i.e., operates at maximum efficiency. The low-frequency pulsating torque due to decrementation of flux is compensated in a feed forward manner. If the load torque or speed commands changes, the efficiency search algorithm is abandoned and the rated flux is established to get the best dynamic response. The drive system with the proposed efficiency optimization controller has been simulated with lossy models of converter and machine, and its performance has been thoroughly investigated.