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has been cited by the following article:

• TITLE: Optimization of Permanent Magnet Skew in Permanent Magnet Linear Synchronous Motors Using Finite Element and Statistical Method

  AUTHORS: Gabriel González-Palomino, Javier Rivas-Conde, Edwin Laniado

  KEYWORDS: FEM-Statistical Regression Method, Optimization, PM Skew, PMLSM, Ripple, Thrust

  JOURNAL NAME: Engineering, Vol.3 No.6, July 1, 2011

  ABSTRACT: The permanent magnet skew is one of the techniques mostly used on the Permanent Magnet Linear Syn-chronous Motors (PMLSMs) to reduce the thrust ripple; even though there is a reduction in the amplitude of ripple and at the same time a significantly decrease of the motor’s thrust. This article proposes a combined technique between the Finite Elements Method (FEM) and statistical regression, to obtain an objective function that will allow the achievement of the optimal Permanent Magnet (PM) skew angle, so that there is a greater reduction of ripple with the minimum thrust diminishment.