Particle swarm multi-target motor optimization method and system based on orthogonal analysis

• Main Authors: ZHANG QI, BIAN HUI, REN YANHAO, YANG QIAOLING, HU FANGBIN, SU BINHUA, ZHANG KECHUN, ZHANG XIAOYU, YANG ZHENBIN, GUO SHENGHUI, SONG BAILIANG, ZHANG BOYAN
• Format: Patent
• Language: Chinese; English
• Published: 28.01.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention discloses a particle swarm multi-objective motor optimization method and system based on orthogonal analysis. The method comprises the steps of presetting an optimization objective of a motor, constructing an optimization objective function of the motor, and performing sensitivity analysis on preset performance indexes of the motor to obtain main influence factors of the motor; performing an orthogonal test based on the main influence factors of the motor, and constructing a multi-objective optimized mathematical function by using a comprehensive scoring method; based on the multi-objective optimized mathematical function, performing range analysis on an orthogonal test result, and determining an interval where an optimal value of an optimization objective of the motor is located; based on the interval where the optimal value of the optimization target of the motor is located, obtaining the optimal solution of multi-target optimization through the particle swarm optimization, thus achieving mult