基于改进互联型全阶观测器的直线感应电机在线参数辨识  

Online Parameter Identification of Linear Induction Motors Based on Improved Interconnected Full-Order Observer

作　　者：丰富 胡海林 钟德鸣 杨杰 FENG Fu;HU Hailin;ZHONG Deming;YANG Jie(School of Electrical Engineering and Automation,Jiangxi University of Science and Technology,Ganzhou 341000,China;Key Laboratory of Maglev Technology of Jiangxi Province,Jiangxi University of Science and Technology,Ganzhou 341000,China;Key Laboratory of Railway Industry of Maglev Technology,Shanghai 710072,China)

机构地区：[1]江西理工大学电气工程与自动化学院,江西赣州341000 [2]江西理工大学江西省磁悬浮技术重点实验室,江西赣州341000 [3]磁浮技术铁路行业重点实验室,上海710072

出　　处：《西南交通大学学报》2024年第4期776-785,共10页Journal of Southwest Jiaotong University

基　　金：国家重点研发计划(2023YFB4302100);江西省重大科技研发专项(20232ACE01011)。

摘　　要：由于直线感应电机特殊结构和动态边端效应等影响,其励磁电感和次级损耗电阻的变化机理和规律复杂,为提高观测器对励磁电感和次级损耗电阻的辨识精度和性能,提出一种基于改进互联型全阶观测器的直线感应电机双参数在线辨识方法.首先,根据考虑动态边端效应的直线感应电机T型等效电路,建立双参数变化的电机状态空间方程,并分析参数变化及耦合特性对电机极点影响;其次,为减小参数耦合对辨识精度的影响,建立双参数互联的低耦合辨识模型,完成互联型全阶自适应观测器设计,采用Popov超稳定性理论推导励磁电感和次级电阻在线辨识的自适应律,实现双参数在线辨识;然后,为提高观测器的稳定性和收敛速度,结合新型极点配置法完成反馈增益矩阵的推导与设计;最后,搭建仿真模型和硬件在环辨识模型进行实验验证.结果表明:新型全阶自适应观测器在启动加速阶段时励磁电感和损耗电阻辨识误差在0.01%左右;在负载动态时损耗电阻辨识误差在0.03%左右.Due to the special structure and dynamic end effect of linear induction motors,the change mechanism and law of their excitation inductance and secondary loss resistance are complicated.In order to improve the identification accuracy and performance of the observer for excitation inductance and secondary loss resistance,an online dual-parameter identification method of linear induction motors based on an improved interconnected full-order observer was proposed.Firstly,based on the T-type equivalent circuit of the linear induction motor considering dynamic end effects,the state space equations with dual-parameter changes were established,and the influence of parameter changes and coupling characteristics on motor poles was analyzed.Secondly,to reduce the impact of parameter coupling on identification accuracy,a low-coupling identification model with dual-parameter interconnection was established,and an interconnected full-order adaptive observer was designed.The adaptive laws for online identification of excitation inductance and secondary resistance were derived using Popov hyperstability theory,realizing online dual-parameter identification.Then,to improve the stability and convergence speed of the observer,a feedback gain matrix was derived and designed by using a novel pole configuration method.Finally,a simulation model and hardware-in-the-loop identification model were built for experimental verification.The results show that the new full-order adaptive observer achieves excitation inductance and loss resistance identification errors of around 0.01%during the startup acceleration phase and around 0.03%during dynamic loading.

关 键 词：直线感应电机 全阶观测器 参数辨识 极点配置 

分 类 号：TM359.4[电气工程—电机]