Aiming at the control plane redundancy of the compound rotorcraft in multi-mode transition process, a control allocation strategy based on weighted multi-objective hybrid optimization is proposed. Drawing on the characteristics of control surfaces in the transition mode, a control allocation model for aircraft with constrained transition procedure is established. A hybrid multi-objective optimization performance index evaluation function is designed, which effectively handle the limitation, the cross strong coupling, and the nonlinear characteristics of control surfaces, and reduces the energy consumption. The improved particle swarm optimization algorithm is used to dynamically update the weight coefficient matrixes of the steering surface manipulation and the control channels, improve the control surface control efficiency, speed up the optimization of the search speed, and quickly solve the steering surface manipulation of the multi-object control allocation in the transition mode. The strategy realizes the real-time effective steering surface control allocation of the compound rotorcraft in the mode switching transition process, ensuring the ability of the aircraft to quickly and accurately track the control commands. At the same time, the multi-objective control allocation makes it unnecessary to extra conversion controllers in the transition mode, reducing the difficulty of the flight control system design and improving the system security.
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