EXPERIMENTAL VALIDATION OF DATA-DRIVEN CONTROL DESIGN METHODS FOR HYBRID MICROVIBRATION DAMPING PLATFORM
Abstract
The microvibration damping (MIVIDA) platform was developed to isolate sensitive optical payloads from harmonic disturbances. A series of experiments were carried out to validate data-driven control design algorithms on the MIVIDA platform. Adaptive LPV (linear-parameter varying) controllers were computed for adaptive disturbance rejection. An experiment to efficiently reject a perturbation signal containing three harmonic frequencies is presented. A testing campaign using a laser-based payload is performed that assesses the line-of-sight (LoS) stability of the laser. Furthermore, an experimental feasibility study is carried out to evaluate the applicability of the developed methods for fault-tolerant control (FTC). Similar performance as in the nominal case prior to the fault can again be achieved.
Publication Reference
21st European Space Mechanisms and Tribology Symposium (ESMATS), 2025, Lausanne (Switzerland), pp. 8
Year
2025-09-24