Parameter estimation of single-stage induction machine using chaos theory

Abstract

This paper presents the use of chaos theory, specifically the use of the Chaotic Optimization Algorithm - COA, in estimating the parameters of single-cage induction machine equivalent circuit. In order to estimate the parameters of single-cage induction machine equivalent circuit, the values provided by the manufacturer (starting torque, maximal torque, nominal torque and nominal value of the power factor) were used. The results obtained through COA algorithm are compared with the results obtained through the use of Shuffled frog-leaping algorithm (SFLA), Modified shuffled frog-leaping algorithm (MSFLA), Differential evolution (DE), Particle swarm optimization (PSO), GAs (Genetic algorithms ). It has been shown that COA algorithm can be very effectively applied in estimating the parameters of single-cage induction machine equivalent circuit.

Keywords

• asynchronous machine
• replacement scheme
• parameter estimation