| Optimal design of pma-synrm for e-bike traction motor using adaptive interpolation robustness optimization algorithm
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| Ji-Chang Son , Dong-Kuk Lim |
| Department of Electrical, Electronic and Computer Engineering , University of Ulsan |
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| ABSTRACT |
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This paper proposes an adaptive interpolation robustness optimization algorithm (AIROA) for the robust optimal design of
a permanent magnet assisted synchronous reluctance motor for electric bicycle (EB) traction. The AIROA can drastically
reduce the number of function calls to converge to an optimal solution by interpolating the problem regions. Especially,
the AIROA eff ectively adjusts the number of generated samples using the diversifi cation strategy with novel initial sampling
strategy. Moreover, in the intensive searching strategy, the calculation time for generating a surrogate model and the
accuracy of the solutions of the surrogate model can be enhanced as the AIROA adjusts the resolution of the interpolation
near the roughly found solutions. At the end of the algorithm, a robustness test strategy is conducted, and a robust optimal
solution is determined considering the accuracy of the interpolated uncertainty band of both global and local solutions.
The superior performance of the AIROA was verifi ed by two mathematical test functions. The applicability of the practical
motor design was verifi ed by applying the AIROA to the optimal design of the EB traction motor and successfully deriving
the robust optimum design. The prototype motor was manufactured, and further validation was conducted by comparing
the experimental results. |
| Key Words:
Design optimization · Interpolation · Permanent magnet motors · Robustness · Traction motors
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Corresponding Author.
Dong-Kuk Lim , Email. 
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