Performance improvement of a low-frequency vibration generator by using iterative learning control

Rev Sci Instrum. 2022 Oct 1;93(10):105005. doi: 10.1063/5.0108920.

Abstract

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.