Hybrid multi-objective control allocation strategy for compound high-speed rotorcraft.

To address the problem of control surface redundancy for compound high-speed rotorcraft in multi-mode conversion process, a hybrid multi-objective control allocation strategy based on adaptive particle swarm optimization (PSO) algorithm is proposed. First, the control allocation problem is converted to a hybrid multi-objective optimization problem to solve the control redundancy, and a hybrid multi-objective optimization performance function is designed to satisfy the multiple requirements of flight mission. Second, a preference matrix is designed to determine the weight coefficients of the optimization performance function. The preference matrix can simplify the complexity of hybrid multi-objective optimization problem. Finally, an adaptive PSO algorithm is designed to solve the hybrid multi-objective control allocation dynamically. The simulation verifies the feasibility and effectiveness of the control allocation strategy, which eliminates the need of extra controllers in the mode conversion, reduces the difficulty of flight control system design and improves the system security. • A control allocation strategy is designed to solve control redundancy problem. • An adaptive PSO is designed to improve optimization. responding speed and accuracy. • A construction method of AMS is proposed to evaluate control allocation efficiency. • A multi-objective optimization function evaluates the multi-flight requirements. [ABSTRACT FROM AUTHOR]