Adaptive Inverse Control of Vibration Exciter for Tracking Target Acceleration of a Car Subsystem 2024-01-2920

This research aims to develop an inverse control method capable of adaptively simulating dynamic models of car subsystems in the rig-test condition. Accurate simulation of the actual vibration conditions is one of the most crucial factors in realizing reliable rig-test platforms. However, most typical rig tests are conducted under simple random or harmonic sweep conditions. Moreover, the conventional test methods are hard to directly adapt to the actual vibration conditions when switching the dynamic characteristics of the subsystem in the rig test. In the present work, we developed an inverse controller to adaptively control the vibration exciter referring to the target vibration signal. An adaptive LMS filter, employed for the control algorithm, updated the filter weights in real time by referring to the target and the measured acceleration signals. We utilized a car subsystem, comprising a vehicle suspension and a rigid fixture, to confirm the performance of the developed controller embedded in a digital signal processor (dSPACE). As the adaptive filter simulates the inverse transfer function of the suspension, the output controller could provide precise control of the excitation signal in the vibration shaker. Specifically, the control error was within 3dB in the target frequency range of 10-200 Hz. The adaptive inverse controller will provide a promising methodology for evaluating and developing automotive parts more reliably.