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转矩观测和惯量辨识的车用IPMSM非线性控制 预览

Nonlinear Control Based on Torque Observation and Inertia Identification for IPMSM in Electrical Vehicle Systems
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摘要 针对电动汽车内置式永磁同步电机(IPMSM)牵引系统状态反馈精确线性化控制易受负载和转动惯量等机械参数变化而控制性能恶化问题,运用全阶状态观测和白适应辨识方法对负载变化和转矩惯量时变进行在线辨识,将在线观测和实时辨识的结果运用到IPMSM状态反馈精确线性化模型当中,提高系统的鲁棒性。仿真实验结果表明转矩观测和惯量辨识的IPMSM牵引系统非线性控制有较好的动态性能和鲁棒性。 Because the perfoamance of state feedback exact linearization control techniques will became worse when the variation of the load and inertia in the interior permanent magnet synchronous motor(IPMSM) for the electrical vehicle traction systems,firstly,the method of the full-order state observation and adjustable identification were used to distinguish the load and the inertia on line, then the load and inertia identified were used in the nonlinear control systems to enhance the robustness of the nonlinear control systems. Simulation results show that nonlinear controller for the IPMSM traction system has good dynamic performance and ro- bustness.
作者 林立 唐宏伟 邱雄迩 LIN Li,TANG Hong-wei,QIU Xiong-er (Department of Electronic Engineering, Shaoyang University, Shaoyang 422004, Hunan, China)
出处 《电气传动》 北大核心 2011年第8期 28-32,57,共6页 Electric Drive
基金 863节能与新能源汽车重大项目课题(2008AA11A108)
关键词 永磁同步电机 内置式 反馈精确线性化 转矩观测 惯量辨识 自适应 permanent magnet synchronous motor interior feedback exact linearization torque observer inertia identification adaptive
作者简介 林立(1972-),男,博士,副教授,Email:linlidexin@163.com
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