摘要
针对永磁同步电机调速控制系统突加负载时导致转速波动较大的问题,提出了一种基于分数阶扩展滑模扰动观测器(FOESMDO)的转速环新型无模型控制方案。新算法为了改善调速系统的动、静态性能,建立了不含电机参数的永磁同步电机新型超局部模型,以此为研究对象,借助快速终端滑模控制和改进型滑模切换函数设计新型无模型滑模控制器;同时为了提高扰动估计的准确性及减小滑模控制存在的抖振现象,改进算法采用分数阶扩展滑模扰动观测器进行超局部结构中未知部分的在线估计;最后,将所提出的基于FOESMDO的新型切换函数快速终端滑模控制方法同传统方法进行仿真对比,验证了新型无模型控制算法(FOESMDO-ISFFTSMC)在提高调速系统的响应速度和抗干扰能力方面的优异性能。
To address the issue of large speed fluctuations caused by sudden load changes in the speed control system of permanent magnet synchronous motor,this paper proposed a novel model-free control scheme for the speed loop based on fractional-order extended sliding mode disturbance observer(FOESMDO).The new algorithm improved the dynamic and static performances of the speed control system by establishing a new ultra-local model for the permanent magnet synchronous motor,which did not rely on motor parameters.With this model as the research object,a new model-free sliding mode control scheme was designed using fast terminal sliding mode control and an improved sliding mode switching function.To enhance the accuracy of disturbance estimation and reduce the chattering phenomenon in sliding mode control,the improved algorithm employed a FOESMDO for online estimation of unknown parts in the ultra-local structure.Finally,simulation comparison was made between the proposed fast terminal sliding mode control method with a new switching function based on FOESMDO and traditional methods,which verified the superior performance of the new model-free control algorithm(FOESMDO-ISFFTSMC)in improving the response speed and anti-interference property of the speed control system.
作者
程梦坤
储剑波
CHENG Mengkun;CHU Jianbo(College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China)
出处
《电机与控制应用》
2024年第10期51-61,I0006,I0007,共13页
Electric machines & control application
基金
航空科学基金项目(2023M024052001)。
关键词
永磁同步电机
分数阶扩展滑模扰动观测器
改进滑模切换函数
无模型控制算法
permanent magnet synchronous motor
fractional-order extended sliding mode disturbance observer
improved sliding mode switching function
model-free control algorithm