重庆理工大学学报（自然科学版）2025，Vol.39Issue(3)：120-128,9.DOI:10.3969/j.issn.1674-8425(z).2025.02.015
MFPSO优化参数的感应加热电源功率控制研究
Optimizing parameter control of induction heating power supply using the MFPSO algorithm
摘要
Abstract
To address the low convergence accuracy and susceptibility to local optima inherent in traditional particle swarm optimization algorithms,we propose a multi-strategy integrated improvement particle swarm optimization algorithm.First,the particle position updating method of the midpoint perpendicular algorithm is employed to enhance the convergence speed of particles.Then,explosive particles around the optimal particle are generated to enhance the accuracy of the algorithm.Next,a linear inertia weight method is introduced to augment the local exploitation capability and global exploration ability of the algorithm.Finally,a performance testing of the algorithm is conducted using eight benchmark functions.Our results indicate the MFPSO algorithm exhibits faster convergence speed and higher convergence accuracy.When the improved particle swarm optimization algorithm is introduced to constant power control of an induction heating power supply and a model is built in Simulink,results show the MFPSO optimized power control not only exhibits minimal overshoot,short settling time,and strong disturbance rejection capability,but also enables the system to quickly reach steady state,demonstrating our algorithm's effectiveness.关键词
爆炸粒子/中垂线算法/感应加热/功率控制Key words
explosive particles/midpoint perpendicular algorithm/induction heating/constant power control分类
计算机与自动化引用本文复制引用
程三榜,杨光永,徐天奇,吴大飞..MFPSO优化参数的感应加热电源功率控制研究[J].重庆理工大学学报（自然科学版）,2025,39(3):120-128,9.基金项目
国家自然科学基金项目(61761049,61261022) （61761049,61261022）
