Application of recent nature‐inspired meta‐heuristic optimisation techniques to small permanent magnet DC motor parameters identification problem

Author:

Karnavas Yannis L.1ORCID

Affiliation:

1. Electrical Machines LaboratoryDepartment of Electrical & Computer EngineeringDemocritus University of ThraceXanthiHellasGreece

Publisher

Institution of Engineering and Technology (IET)

Subject

General Engineering,Energy Engineering and Power Technology,Software

Reference35 articles.

1. A review of identification in continuous‐time systems;Unbehauen H.;Annu. Rev. Control,1998

2. State‐space parameter identification in a second control laboratory;Basilio J.C.;IEEE Trans. Educ.,2004

3. MamaniG. BecedasJ. BatlleV.F.: ‘On‐line fast algebraic parameter and state estimation for a DC motor applied to adaptive control’.Proc. World Congress on Engineering London UK 2–4 July 2008

4. Algebraic parameters identification of DC motors: methodology and analysis;Becedas J.;Int. J. Syst. Sci.,2010

5. Recursive least square method in parameters identification of DC motors models;Krneta R.;Facta Univ.,2005

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