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提出了一种应用多目标遗传算法设计直升机全包线协调转弯控制律参数的方法。将侧向过载和倾斜角稳态误差的设计要求转换为不等式约束,并以所有设计包线总体性能Pareto最优作为总目标,以各设计包线性能最优作为子目标,再应用多目标遗传算法自动搜索最优全包线协调转弯控制律参数。最后,设计了某型直升机协调转弯控制律参数,仿真结果表明,所得到的控制律参数能够较好地抑制直升机侧滑,并且具有较好的适应性和鲁棒性。
A method for designing control parameters of all-envelope helicopter turns in helicopter with multi-objective genetic algorithm is proposed. The design requirements of steady-state error of lateral overload and tilt angle are converted into inequality constraints. With the overall performance of all design envelope as Pareto optimal goal, the best performance of each design envelope is taken as sub-goal, and then multi-objective genetic The algorithm automatically searches for the optimal all-envelope coordinated turn control law parameters. Finally, the control parameters of a certain type of helicopter are designed. The simulation results show that the obtained control law parameters can restrain the helicopter from sliding and have better adaptability and robustness.