Filter bank approach to the estimation of flexible modes in dynamic systems

摘要

The problem of estimating frequencies of sinusoids buried in noise has been great interest in both military and civilian applications. In particular, in Control Systems with flexible appendages the sinusoidal vibrations can cause instabilities and degrade performance of the overall system. In this thesis the problem of identifying frequencies disturbances in flexible systems using advanced Digital Signal Processing techniques such as filter banks and Quadrature Mirror Filters is addressed. In a number of situations there is a need to design a controller for a system with flexible modes. In particular, space applications solar panels and robotic arms introduce flexible modes in the system which degrades the performance. In these kinds of applications, the frequencies of flexible modes can not be modeled accurately a priori and they can change according the operating conditions. The proposed approach is tested by computer simulations.