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自寻优最大转矩电流比矢量控制连载之四:同步磁阻电机同构电感建模的虚拟信号注入法控制

Self-Optimizing MTPA Vector Control Part 4: Isomorphic Inductance-Modeled Virtual Signal Injection Method for Synchronous Reluctance Motor Control

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【作者】 张雨馨; 王云冲; 史丹; 徐彬涵; 沈建新;

【Author】 ZHANG Yuxin;WANG Yunchong;SHI Dan;XU Binhan;SHEN Jianxin;College of Electrical Engineering, Zhejiang University;Zhejiang Provincial Key Laboratory of Electrical Machine Systems;State Key Laboratory of Fluid Power and Mechatronic Systems;

【通讯作者】 王云冲;

【机构】 浙江大学电气工程学院; 浙江省电机系统智能控制与变流技术重点实验室; 流体动力与机电系统国家重点实验室;

【摘要】 在虚拟双极性方波信号注入的基础上,提出基于同构电感的参考转矩模型,能够更好模拟实际情况。设计相位摇摆法进行同构电感辨识。考虑到该算法不具备启动机制,配合提出基于均势参数的自启动机制。研究表明,基于同构电感重建的转矩模型因为考虑了参数非线性变化,能实现性能更优的最大转矩电流比(MTPA)控制,并且相位摇摆法与自启动机制的配合改善了系统的动态跟随性能。

【Abstract】 Synchronous reluctance motor(SynRM) usually works with iron core saturation, which leads to the nonlinearity and variation of the inductance parameters. The traditional formula method considers the motor parameters as constants in the process of achieving the maximum torque per Ampere(MTPA) control, whilst the virtual signal injection method(VSIM) assumes the constant inductances before and after each injection. Both lead to errors of the current vector phase angle of the MTPA. To solve this problem, a reference torque model based on isomorphic inductance was proposed on the basis of virtual bipolar square wave signal injection method, which can accurately fit the actual model. The phase swing method was designed for the isomorphic inductance identification. Considering that the algorithm does not have a starting mechanism, a self-starting mechanism based on the average parameters was proposed. It is shown that the reconstructed torque model can achieve better MTPA control, as it takes the nonlinear variation of parameters into account, and the cooperation of phase swing method and self-start mechanism improves the dynamic performance of the system.

【基金】 国家自然科学基金项目(52007161,51837010);浙江省尖兵领雁计划项目(2022C01097,2022C01001);之江实验室科研攻关项目资助(2022PEOAC01)
  • 【文献出处】 微特电机 ,Small & Special Electrical Machines , 编辑部邮箱 ,2022年12期
  • 【分类号】TM352
  • 【下载频次】19
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