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.
Highlights
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
It has been shown that COA algorithm can be very effectively applied in estimating the parameters of single-cage induction machine equivalent circuit
Summary
U radu je predstavljena upotreba teorije haosa, konkretno upotreba Chaotic Optimization algoritma – COA, u estimaciji parametara zamjenske šeme jednokavezne asinhrone mašine. Pokazano je da se COA algoritam može veoma efikasno primijeniti u estimaciji parametara zamjenske šeme jednokavezne asinhrone mašine. Estimacijom parametara mašine na osnovu njenih kataloških podataka, pri čemu se kao optimizacioni metod koristi algoritam zasnovan na teoriji haosa (Chaotic Optimization Algorithm -COA). Rezultati estimacije parametara asinhrone mašine na osnovu kataloških podataka prikazani su u Poglavlju 4. Struja rotora asinhrone mašine se može odrediti na osnovu strujnog djelitelja ako je poznata struja statora: I2(s) = ZRPs2(+s)j∗XI1,σ(2s). Cijeli proces je prikazan na slici 2. gdje je izložen pseudo kod algoritma
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