Multi-target robust optimization design method for ultra-efficient induction motor

Abstract

The invention relates to a multi-target robust optimization design method of an ultra-high-efficiency induction motor. Compared with the prior art, the technical defect that the robust optimization design of the ultra-high-efficiency induction motor is difficult to realize is overcome. The method comprises the following steps: obtaining a motor design variable based on the electromagnetic design of the ultra-high-efficiency induction motor of a rotor skewed slot and a single-layer and double-layer unequal-turn low-harmonic winding; determining a motor optimization variable based on a Taguchi test and reasonably dividing a multi-target optimization subspace; performing deterministic subspace multi-objective optimization based on a DE algorithm and Pareto evaluation; establishing a combined approximation model based on a Pareto solution set leading edge of a Monte Carlo sampling subspace; and evaluating multi-target performance and robust performance of the motor in consideration of optimization variable disturbance. According to the robust optimization design of the motor, the multi-objective optimization performance of the motor is improved, meanwhile, various uncertain factors in the production and manufacturing process of the motor are considered, and the robust performance of the motor is improved.

Description

technical field [0001] The invention relates to the technical field of ultra-ultra-ultra-high-efficiency induction motors, in particular to a multi-objective robust optimization design method for ultra-ultra-ultra-high-efficiency induction motors. Background technique [0002] Induction motor is an important type of electromechanical energy conversion device and the main source of power for industrial production. It has the advantages of simple structure, low cost, reliable operation and convenient maintenance. In order to improve energy utilization and realize energy saving and emission reduction, it is of great significance to carry out research on the design of ultra-ultra-high-efficiency induction motors. The research on improving the efficiency of induction motors mainly focuses on the design of electromagnetic schemes and multi-objective optimization of motors. [0003] The stator winding design determines the waveform of the air-gap magnetic field of the motor, which...

AI Technical Summary

Problems solved by technology

In summary, a single approximate model has problems such as low fitting accuracy and complex modeling. In the robust optimization design of motors, it is very important to establish an accurate approximate model, which needs to be further studied.

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