Du Yunsong, Dang Pengchao, Liu Zhihua, Qiao Chongxin
Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing 100124, China.
National Institute of Metrology, Beijing 100029, China.
Rev Sci Instrum. 2022 Oct 1;93(10):105005. doi: 10.1063/5.0108920.
This paper presents the performance improvement of a low-frequency vibration generator by using iterative learning control (ILC). A linear motor is designed as a low-frequency vibration generator to calibrate accelerometers. The traditional three-loop control model is first established. The Luenberger observer control method and the closed-loop ILC method are then proposed to improve the performance. Finally, the prototype of this low-frequency vibration system is set up. An accelerometer is calibrated to verify the accuracy of ILC. Subsequently, the total harmonic distortion, amplitude accuracy, and transverse motion of this linear motor vibration generator are tested. Compared with results obtained from the Luenberger observer control, the results derived by the ILC reveal better performance.
本文介绍了通过使用迭代学习控制（ILC）来提高低频振动发生器的性能。设计了一种线性电机作为低频振动发生器来校准加速度计。首先建立了传统的三环控制模型。然后提出了卢恩伯格观测器控制方法和闭环ILC方法来提高性能。最后搭建了该低频振动系统的原型。对加速度计进行校准以验证ILC的准确性。随后，测试了该线性电机振动发生器的总谐波失真、幅度精度和横向运动。与卢恩伯格观测器控制得到的结果相比，ILC得到的结果表现出更好的性能。
