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.
Highlights
The Permanent Magnet Linear Synchronous Motors (PMLSMs) are widely used for their excellent characteristics such as high force density, fast dynamic response, low thermal losses, and simple structure
The permanent magnet skew is one of the techniques mostly used on the Permanent Magnet Linear Synchronous 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
Summary
The PMLSMs are widely used for their excellent characteristics such as high force density, fast dynamic response, low thermal losses, and simple structure. The thrust ripple, which is the main disadvantage of PMLSM, results in a periodic force oscillation. It is necessary to look for a way of reducing the thrust’s ripple To achieve the latter, a diversity of techniques are used and one of them is the skew of PM [1,2]. The existing Literature [5,6,7,8,9,10,11,12,13,14], considers diverse methods of optimization, but none establishes as objectives the maximization of thrust and the minimization of ripple. The equations are of second order, one for thrust (T) and another one for ripple (R), they are combined to obtain an only objective function that is maximized and of which the optimal PMs skew is obtained.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
