摘要
为了解决直接转矩控制系统中永磁同步电机抗干扰能力差的问题,速度环采用自抗扰控制器取代传统PI控制器,移除自抗扰控制器中的跟踪微分器以提高系统信号的跟踪速率,并且通过引入负载观测器对速度环进行前馈补偿,减少自抗扰控制器的负担;同时考虑到电流采样时零漂产生的干扰,引入二阶高通滤波器对传统电压模型进行滤波操作,采用梯形离散法对二阶高通滤波器进行离散处理,提高观测器的观测精度,并设置滤波器截止频率跟随电角速度变化,提高系统的动态性能。最后仿真结果表明系统输出转速超调小,输出磁链、转矩精度高,具有良好的抗干扰能力。
In order to solve the problem of poor anti-interference ability of the permanent magnet synchronization motor in the direct torque control system, the speed loop adopts the active disturbance rejection controller(ADRC) to replace the traditional PI controller, removes the tracking differentiator in the ADRC to improve the system signal tracking rate, and reduces the burden of the ADRC through introducing the load observation to feed-forward compensation on the speed loop. Meanwhile, considering the interference caused by DC offset in current sampling, the traditional voltage model is filtered by a second-order high-pass filter and the second-order high-pass filter is discretely processed by the trapezoidal discretization method, which improves the observation accuracy of the observer. The filter cutoff frequency is set to follow the change of the electrical angular velocity so that the dynamic performance of the system is improved. Finally, simulation results suggest that the system output speed is super-adjustment, the output magnetic chain, high torque accuracy, and good anti-interference ability.
作者
陈雄
邹积浩
任佳
翁如杰
Chen Xiong;Zou Jihao;Ren Jia;Weng Rujie(School of Mechanical Engineering,Zhejiang Sci-TechUniversity,Hangzhou 310018,China;TECO Group Science-Technology(HangZhou),Co.,Ltd.,Hangzhou 310013,China)
出处
《电子测量技术》
北大核心
2022年第20期81-87,共7页
Electronic Measurement Technology
基金
浙江省公益技术研究项目(LGG20F030007)资助。
关键词
自抗扰控制器
梯形离散法
带通磁链观测器
直接转矩控制
截止频率
active disturbance rejection controller
trapezoidal discrete method
band-pass flux observer
direct torque control
cutoff frequency
作者简介
通信作者:陈雄,硕士研究生,主要研究方向为永磁同步电机控制技术。E-mail:1300312079@qq.com;邹积浩,博士,高级工程师,主要研究方向为工业领域的电机变频调速,基于物联网的设备远程在线监测及诊断。E-mail:zoujihao@126.com;任佳,博士,副教授,主要研究方向为数据驱动的复杂工业过程故障诊断方法研究。E-mail737578094@qq.com;翁如杰,硕士研究生,主要研究方向为电机控制卷积神经网络。E-mail:2947843167@qq.com。
