Title
Advanced Particle Swarm Optimisation Algorithms For Parameter Estimation Of A Single-Phase Induction Machine
Abstract
This paper proposes a new parameter estimation approach for a single-phase induction machine (SPIM) whose parameters are usually obtained using several traditional techniques such as the DC, no-load, load and locked-rotor tests. The proposal is based on using two advanced particle swarm optimisation (PSO) algorithms. In the PSO algorithm, the inertia weight, cognitive and social parameters and two independent random sequences are the main parameters which affect the search characteristics and convergence capability, as well as the solution quality in each application. Two advanced PSO algorithms, known as the dynamic particle swarm optimisation (dynamic PSO) and the chaos particle swarm optimisation (chaos PSO) algorithms modify the algorithm parameters to improve the performance of the standard PSO algorithm. The algorithms use the experimental measurements of the currents and active powers in the SPIM main and auxiliary windings as the inputs to the parameter estimator. The experimental results obtained compare the estimated SPIM parameters with the SPIM parameters achieved using the traditional tests. There is also a comparison of the solution quality between the standard PSO, dynamic PSO and chaos PSO algorithms. The results show that the dynamic PSO and chaos PSO algorithms are better than the standard PSO algorithm for parameter estimation of the SPIM.
Year
DOI
Venue
2012
10.1504/IJMIC.2012.046401
INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL
Keywords
Field
DocType
parameter estimation, single-phase induction machine, SPIM, particle swarm optimisation algorithms
Convergence (routing),Particle swarm optimization,Control theory,Single phase,Algorithm,Control engineering,Electromagnetic coil,Estimation theory,Inertia,Induction machine,Mathematics,Estimator
Journal
Volume
Issue
ISSN
15
4
1746-6172
Citations 
PageRank 
References 
2
0.43
4
Authors
2
Name
Order
Citations
PageRank
Duy C. Huynh120.43
M.W. Dunnigan2238.70