Optimal Design of Permanent Magnet Synchronous Motor Rotor Based /Demagnetization Fault Suppression

Optimal Design of Permanent Magnet Synchronous Motor Rotor Based on Demagnetization Fault Suppression
Permanent magnet synchronous motor (PMSM) is increasingly used in the industrial field due to its simple structure, small size, high efficiency, large output torque, excellent control performance, good heat dissipation and maintenance. The core component of PMSM is permanent magnet. Its demagnetization fault is a key problem in the promotion and application of permanent magnet synchronous motor. It is directly related to the output power of PMSM and has a certain impact on the performance of the entire motor control system. It may even cause great economic losses. Therefore, it is extremely important to study the fault characteristics after PMSM demagnetization fault and optimize its structural design. This project takes automotive PMSM as the research object, analyzes the demagnetization mechanism, causes and fault characteristics of PMSM, optimizes the rotor structure based on suppressing demagnetization faults, first optimizes the rotor structure parameters through Taguchi method, genetic algorithm and hybrid genetic algorithm, and completes the work in the paper:
First, take a three-phase 8-pole 48-slot PMSM as an example, analyze its permanent magnet demagnetization mechanism, use finite element simulation software Maxwell to establish PMSM demagnetization fault (non-uniform demagnetization and uniform demagnetization) model, obtain the current, voltage, radial flux density and other signals of the fault model through simulation, analyze the changes of current, voltage, radial flux density signals at different demagnetization, and perform Fourier transform on current signal and back electromotive force to analyze fault spectrum characteristics.
Secondly, by analyzing the demagnetization fault current, back electromotive force and radial flux density signal, the PMSM rotor structure is designed and optimized based on demagnetization suppression. The experimental principle and experimental process of the Taguchi method are specifically introduced. The PMSM rotor magnetic bridge structure is selected as the optimization object, and the optimization factor selection level and level number are reasonably set to reasonably reduce the number of experiments. The orthogonal experiment is set using the Taguchi method. The influence of the optimization factor on the optimization target is analyzed based on the experimental results. The optimal combination of optimization factors is selected to achieve the goal of suppressing core loss and torque pulsation while improving motor efficiency.
Finally, the genetic algorithm (GA) is applied to optimize the PMSM rotor structural parameters, and the results of the Taguchi method and GA are compared. The advantages of the Taguchi method and GA are analyzed, and a hybrid genetic algorithm (HGA) is proposed. The Taguchi method is used to optimize the GA parameters and improve the GA optimization performance. The optimized GA is used to optimize the motor rotor structural parameters. Finally, the Taguchi method has strong local optimization ability and is used again to optimize the optimization results. The initial design of PMSM, Taguchi method optimization, GA optimization and HGA optimization are compared. Finally, finite element software is used for simulation verification to achieve the goal of suppressing the demagnetization of PMSM.
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