A MPC and Control Allocation Method for Gust Load Alleviation

In this paper, using the improved Model Predictive Control (MPC) and the Control Allocation (CA) methods with the combination of observer to solve the case that when the large civil aircraft under different wind disturbances it will still be close to the target tracking commands. First calculate the static and dynamic of admissible command set. Then, with the actual demand set, steady state vector calculator and MPC controller will be executed. Finally, the control distributor will solve the MPC's virtual output to each actual actuators. Through the projection algorithm, the method of the original signals of two step filtration, the reachable command set will be shrink, so as to reduce the workload of the original online optimization calculation. The simulation results show that the methods used in this paper has good response characteristics through the design of closed-loop scheme, under the gust disturbances it can still achieve a good of command signal tracking, and has certain robustness.