Identification and robust control of flexible space structures

This paper is concerned with the problem of identifying and controlling large flexible space structures (LFSS). These types of structures have a particular characteristic, which makes the task of identifying accurate system models more problematic. The proposed algorithm utilizes modal contribution coefficients to monitor the data collection and a simple genetic algorithm to define the parameters of the robust controller. Several objectives are included in the optimization process, such as rise time, overshoot, control energy, and a robustness measure among others. The proposed method is tested numerically and promises to work well for LFSS.