An airbreathing hypersonic vehicle(AHV) generally adopts a scramjet engine as its propulsion, which needs strict conditions of flight dynamic pressure. A new dynamic pressure control system is presented, in which the AHV autopilot directly uses dynamic pressure to track the dynamic pressure command. Firstly, the dynamic pressure model of the AHV is established and the state equations of dynamic pressure control are given. Then, the dynamic pressure control system is implemented using the LQR optimal control theory. The dynamic pressure error is augmented in order to add an integral control to track the dynamic pressure with zero steady error. The structure of the dynamic pressure control system is also obtained. The simulation results show that the dynamic pressure control system has a good performance for guaranteeing the dynamic pressure of the scramjet engine with the disturbance of drag and thrust considered.

In this paper, a novel robust control allocation method for a control system with uncertain parameters is proposed based on the algorithms of maximum-minimum and improved fish swarm. Based on the algorithm of maximum-minimum, the control allocation problem with an uncertain allocation matrix is transformed into the definite control allocation problem; then by using an improved fish swarm algorithm, the resultant control allocation problem is solved. Finally, the simulation results show that the proposed robust control allocation method has better robustness to system modeling uncertainty and possesses stronger anti-interference ability than the existing control allocation methods.