Model Predictive Controlling of large-angle single axis rotation of a flexible satellite based on Genetic Algorithm

This article presents an application of Model Predictive Controller (MPC) to the rotational control of a flexible satellite. The flexible satellite is modeled as a single input multiple outputs system, using the Lagrange equations. The state space equations are expressed in order to design the controller properly. Naturally MPC parameters could change effectively and there is no specific tuning rule to find the best one. This shows that a trial and error tuning approach must be used. Being an intelligence method for optimizing problem, Genetic Algorithm has been used for optimizing the performance of MPC controller by tuning the controller parameter due to minimum rise time, settling time, overshoot of the target point of the flexible structure and its mode shape amplitudes. The simulation results of the flexible satellite with large-angle single axis rotational maneuver show the efficiency of proposed optimization method in comparison with LQR optimal controller.

کلیدواژه ها:

Flexible Satellite ، Model Predictive Control ، Genetic Algorithm ، Optimal Control