转杯纺直驱高速无刷电机无传感控制系统设计OA
Design of Non-Sensor Control System for Rotor Spinning Direct Drive High-Speed Brushless Motor
针对传统转杯纺纱机单锭高速驱动系统电机传感器安装困难和转速不稳定问题,文中提出了一种采用高速无刷直流电机滑模自适应观测+PID(Proportional Integral Derivative)控制的无传感器控制算法,结合电机矢量控制模式实现电机的精准控制.通过改进滑模观测器结构减少传统滑模观测算法的趋近速率慢和电机抖振问题,实现转子位置的快速准确估计,提高系统的鲁棒性.采用嵌入式控制技术开发转杯纺电机的驱控系统,对控制算法进行移植和实现,解决了传统转杯纺纱电机系统转速低、转速抖振大和传感器安装困难等问题.通过实验测试实现了转杯纺纱高速无刷电机系统高平稳转速和无传感器控制的目标,在电机高转速 100 000 rpm 下的抖振率达到 2%以内.
In view of the problems of difficult installation of motor sensors and unstable rotational speed in the single-spindle high-speed drive system of traditional rotary cup spinning machines,this study proposes a sensorless control algorithm that adopts high-speed brushless DC motor sliding mode adaptive observation+PID(Proportional In-tegral Derivative)control,combined with the motor vector control mode to achieve precise motor control.By impro-ving the structure of the sliding mode observer,the slow approach rate and motor buffing problems of the traditional sliding mode observation algorithm are reduced,achieving rapid and accurate estimation of the rotor position and en-hancing the robustness of the system.The drive and control system of the rotary cup spinning motor is developed by a-dopting embedded control technology.The control algorithm is transplanted and implemented,which solves the prob-lems of low speed,large speed buffering and difficult sensor installation in the traditional rotary cup spinning motor system.Through experimental tests,the goal of high stable rotational speed and sensorless control of the high-speed brushless motor system for rotary cup spinning is achieved.The chattering rate at a high motor speed of 100 000 rpm is within 2%.
张轶恒;张建新
浙江理工大学 信息科学与工程学院,浙江 杭州 314000浙江理工大学 机械工程学院,浙江 杭州 314000
信息技术与安全科学
转杯纺纱机滑模自适应控制无传感器控制矢量控制无刷直流电机高转速电机转速抖动
rotor spinning machineadaptive control of sliding modesensorless controlvector controlbrushless DC motorhigh speedmotor speed jitter
《电子科技》 2026 (4)
50-57,84,9
浙江省尖兵领雁研发攻关计划(2022C01188)Zhejiang Province's Sharp Soldiers and Leading Geese R&D Program(2022C01188)
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