非串级结构下的双三相永磁同步电机调速控制和电流谐波抑制研究
Research on Speed Regulation and Current Harmonic Suppression of Dual-three Phase Permanent Magnet Synchronous Machine Under Non-cascade Structure
戴斌 1郝立 2李世华1
作者信息
- 1. 东南大学自动化学院,江苏省 南京市 210096
- 2. 复杂工程系统测量与控制教育部重点实验室(东南大学),江苏省 南京市 210096
- 折叠
摘要
该文针对多源时变干扰影响的双三相永磁同步电机系统,研究其基波平面内的调速控制问题和谐波平面内的谐波电流抑制问题.首先,在基波平面采用非串级控制结构,通过构造广义比例积分观测器(generalized proportional integral observer,GPIO)估计转速环的多源快变干扰;然后,针对q轴电流的过流保护问题,在传统比例微分反馈控制器的基础上利用障碍函数设计思想,结合干扰估计信息,得到基于GPIO的电流约束复合控制器;其次,在谐波平面,通过设计2个GPIO精准估计电流环的多源快变干扰,并与比例反馈控制器结合形成复合控制器来抑制 2 个电流环中的谐波电流.最后,给出严谨的稳定性分析,并通过对比实验验证所提方法的有效性.
Abstract
In this paper,the speed regulation problem in fundamental subspace and the harmonic current suppression problem in harmonic subspace of the dual-three phase permanent magnet synchronous machine(PMSM)system subject to multi-source lumped disturbances are studied,respectively.Firstly,a non-cascade control structure is adopted in the fundamental subspace.The generalized proportional integral observer(GPIO)is designed to estimate the multi-source fast-varying disturbances in speed loop of the fundamental subspace.Secondly,the barrier function is introduced on the basis of the traditional proportional differential feedback controller to overcome the overcurrent protection problem of q-axis current.Then,the current constrained composite controller based on GPIO is obtained by combining the disturbance estimation.Thirdly,two GPIOs are designed to accurately estimate the multi-source fast-varying disturbances in the current loop of harmonic subspace.A composite controller is formed by combining with the proportional feedback controller to suppress the harmonic currents in two current loops.Finally,the rigorous stability analysis is demonstrated and the effectiveness of the proposed method is verified by contrast experimental results.
关键词
双三相永磁同步电机/非串级结构/转速调节控制/电流谐波抑制Key words
dual-three phase permanent magnet synchronous machine(PMSM)/non-cascade structure/speed regulation control/current harmonic suppression引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据