A Multi-dimensional Polynomial Chaos approach for uncertainty analysis of shipboard electric propulsion system

This paper introduces the Multi-dimensional generalized Polynomial Chaos(gPC) as a new approach to perform uncertainty analysis for shipboard electric propulsion system. Multi-dimensional gPC is constructed as tensor products of one-dimensional gPC and validated by applying on the first-order stochastic differential equation. Uncertainty analysis is later implemented on the shipboard electric propulsion system composing of an induction machine driven by direct torque control and providing power to the propeller. Stochastic responses are obtained where two independent random variables(induction machine rotor resistance and propeller inertia) exists.