控制与信息技术Issue(3)：61-67,7.DOI:10.13889/j.issn.2096-5427.2025.03.008
基于代理模型管理的旋变软解码参数优化设计
Design Optimization of Parameters for Resolver Software Decoding Based on Surrogate Model Management
摘要
Abstract
In order to improve the adaptability of the resolver software decoding system to the electric drive of commercial vehicles and to suppress torque and speed fluctuations during motor operation,this paper proposes a design optimization method for resolver software decoding parameters based on update management using a surrogate model.Firstly,an evaluation index for precision in position angle outputs from resolver software decoding was established,based on the principle of third-order angle observers,and parameter optimization was clarified for the resolver software decoding system.Next,a surrogate model was constructed for the software decoding system,using the Latin hypercube design(LHD)method and based on a radial basis function.Finally,a genetic algorithm(GA)was utilized to optimize parameters in the resolver software decoding system through a solving process,and a partial encryption method was introduced to iteratively update the surrogate model,yielding a partially optimal solution that meets the error requirements.The study results show that the proposed parameter optimization method is effective in quickly identifying optimal matching parameters in resolver software decoding applied to the electric drive system of commercial vehicles,thus offering an effective approach to improve the operational stability of permanent magnet synchronous motors.关键词
旋变软解码/代理模型/优化设计/电驱动系统Key words
resolver software decoding/surrogate model/design optimization/electric drive system分类
信息技术与安全科学引用本文复制引用
邓宇,凌岳伦,吴佐来,彭再武,汪军..基于代理模型管理的旋变软解码参数优化设计[J].控制与信息技术,2025,(3):61-67,7.基金项目
湖南创新型省份建设专项(2023GK2027) （2023GK2027）
