Publication Detail

Stochastic Analysis of Induction Machines Using Generalized Polynomial Chaos

Pradya Prempraneerach, Timothy McCoy, Franz Hover
6 pp.

It is well known that parametric and loading uncertainties can have adverse effects on the control of electric machines (Bose 1986). Machines used for ship propulsion, for example, are subject to random loading as a result of the seaway. To date, there have been few studies which can account for these stochastic effects
in a comprehensive way. The generalized Polynomial Chaos (gPC)(Ghanem and Spanos 1991), (Lucor, Su and Karniadakis 2004), (Xiu and Karniadakis 2002),(Wan and Karniadakis 2005) is applied to induction machines in this paper. We show that the gPC technique captures the statistics of the response more efficiently than does Monte Carlo simulation.

type: Workshops, proceedings, symposia

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