Derived Functions for MATLAB Non-linear Solvers – an optimal Stator Slot Design Stopgap
Journal of Engineering Research and Reports · pp. 8–14 · Published 18 Feb 2023
10.9734/jerr/2023/v24i4809Abstract
In the three-phase squirrel cage induction motor (SCIM), like other rotating electromechanical machines, the active length of the stator windings lies in the slots. The proper dimensioning of the slots is therefore critical to the design of both the windings and the stator core, so as to attain a high performing machine. The preliminary stage of the SCIM design, if well done, facilitates the refinement and optimization stages; serving as a good take-off point for that final state of the art design. The aim of this article isn’t to come up with a novel optimization method for the SCIM, but to provide another way of obtaining an initial stator slot design template, from where proper design refinement/optimization techniques could obtain very good starting values and be facilitated. Therefore, an attempt is being made here to derive relevant design functions that could be fed into the algorithms of various non-linear solvers such as the Genetic Algorithm (GA), to output the main stator slot dimensions for the SCIM. The final designed SCIM obtained from implementing the derived equations, when compared with the appropriate reference datasheets, showed only minor deviations from the expected performance indices – an outcome deemed satisfactory for a preliminary design attempt. These initial dimensions may in practice be subjected to the appropriate refinement. Depending on the target performance requirement of the motor.
Cited by 1
Nelson Oyakhilomen Omogbai · World Journal of Advanced Engineering Technology and Sciences · 2023
Related research
- An Intelligent Tuned Harmony Search Algorithm for Optimum Design of Steel Framed Structures to AISC-LRFD — shares topic coverage
- A Genetic Algorithm with Neighborhood Search to Solve Integer and Linear Programming Problems — shares topic coverage
- An Optimized Genetic Approach for Scheduling Task Duplication in Parallel Systems — shares topic coverage
- Genetic Algorithm Based on K-means-Clustering Technique for Multi-objective Resource Allocation Problems — shares topic coverage
- A Genetic Algorithm in Green Cloud Computing — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
1
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.