基于自适应扰动补偿观测器的漏磁可控永磁电机无位置传感器控制研究
Research on sensorless control of flux leakage controllable permanent magnet motor based on an adaptive disturbance compensation observer
朱孝勇 1彭忠飞 1张丽 1周以灿1
作者信息
- 1. 江苏大学电气信息工程学院,镇江 212013
- 折叠
摘要
基于独特漏磁设计的漏磁可控永磁(flux leakage controllable permanent magnet,FLC-PM)电机,具有宽调速和高输出转矩特性,能够满足电动汽车多变工况下广域高效的运行需求.然而,由于FLC-PM电机特殊的漏磁磁路设计,使其无位置传感器控制驱动系统存在周期性谐波干扰、非周期性谐波干扰和环路延迟问题,从而严重影响转子位置估算性能.针对上述问题,本文提出一种基于自适应扰动补偿观测器的无位置传感器控制方法.首先,提出自适应扰动迭代学习控制方法,通过迭代学习增益自适应扰动变化,以抑制周期性干扰和非周期性干扰的谐波,降低电流的谐波含量.此外,设计自适应补偿位置观测器,对估计位置误差进行实时在线观测和补偿,在提高FLC-PM电机转子位置估计精度的同时,改善驱动系统的动态性能.最后,通过实验验证所提控制方法的有效性和可行性.
Abstract
The flux leakage controllable permanent magnet(FLC-PM)motor can provide wide speed regulation and high output torque due to its unique magnetic flux leakage design.As a result,it can meet the requirements for high efficiency in various operating conditions for electric vehicles.However,due to the motor's specialized flux leakage magnetic circuit design,its sensorless control drive system can experience periodic and nonperiodic harmonic disturbances,as well as loop delay issues,which can significantly impact the estimated performance of the rotor position.To address these challenges,this paper proposes a novel sensorless control method that uses an adaptive disturbance compensation observer.The first step in this approach is to implement an adaptive disturbance iterative learning control method.This technique enables suppression of periodic and nonperiodic disturbance harmonics and reduction of harmonic content in the current.Next,an adaptive compensation position observer is designed to observe and compensate for estimated position errors online,which improves the estimated accuracy and dynamic performance of the FLC-PM motor drive system.Finally,experiments were conducted to validate the feasibility and effectiveness of this control method.
关键词
漏磁可控永磁电机/无位置传感器控制/谐波抑制/迭代学习控制/自适应扰动与补偿Key words
flux leakage controllable permanent magnet motor/sensorless control/harmonic suppression/iterative learning control/adaptive disturbance and compensation引用本文复制引用
基金项目
国家重点研发计划(2022YFB2502703)
国家自然科学基金(51937006)
国家自然科学基金(52277051)
出版年
2024
NETL
NSTL
万方数据