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Optimization Design of High-speed Interior Permanent Magnet Motor with High Torque Performance Based on Multiple Surrogate Models

Shengnan Wu, Xiangde Sun, Wenming Tong

2022CES Transactions on Electrical Machines and Systems28 citationsDOIOpen Access PDF

Abstract

In order to obtain better torque performance of high-speed interior permanent magnet motor(HSIPMM) and solve the problem that electromagnetic optimization design is seriously limited by its mechanical strength, a complete optimization design method is proposed in this paper. The object of optimization design is a 15kW, 20000r/min HSIPMM whose permanent magnets in rotor is segmented. Eight structural dimensions are selected as its optimization variables. After design of experiment(DOE), multiple surrogate models are fitted, a set of surrogate models with minimum error is selected by using error evaluation indexes to optimize, the NSGA-II algorithm is used to get the optimal solution. The optimal solution is verified by load test on a 15kW, 20000 r/min HSIPMM prototype. This paper can be used as a reference for the optimization design of HSIPMM.

Topics & Concepts

TorqueMagnetRotor (electric)Optimal designSurrogate modelComputer scienceControl theory (sociology)Set (abstract data type)Design of experimentsMathematical optimizationEngineeringMathematicsMechanical engineeringPhysicsControl (management)StatisticsProgramming languageThermodynamicsArtificial intelligenceMachine learningElectric Motor Design and AnalysisMagnetic Bearings and Levitation DynamicsInduction Heating and Inverter Technology
Optimization Design of High-speed Interior Permanent Magnet Motor with High Torque Performance Based on Multiple Surrogate Models | Litcius