赋权控制分配策略的权系数多目标优化设计

针对多操纵面飞机控制权值参数多、虚拟可达集使用率低的问题,基于改进非劣排序遗传算法(INSGA),提出一种离线设计控制分配策略权系数的多目标优化方案。给出了加权伪逆和混合优化两类赋权控制分配模型,推导了统一的控制律。考虑分配效率和分配模态的性能要求,建立了权系数多目标优化模型,并采用INSGA进行了离线计算。仿真验证结果表明,所提出的方案可提供多组折中的Pareto最优解,能够实现赋权控制分配策略的权系数多目标优化设计。

Multi-objective optimization design of weight coefficients for weighted control allocation scheme

Aiming at the excessive control weight parameters of multi-effector vehicle and the low utilizing rate of virtual
attainable subset, a multi-objective optimization scheme to offline determine the weight coefficients of control allocation is
proposed based on the improved non-dominated sorting genetic algorithm(INSGA). The models of weighted pseudo-inverse
and mixed optimization are presented respectively, and the uniform control law is deducted. Considering the performance
requirements of distributing efficiency and allocating mode, the multi-objective optimization model of weight coefficients is
built, which is calculated offline by using INSGA. The simulation results show that, the proposed method can offer many
tradeoff Pareto-optimal solutions, which can realize the multi-objective optimization design of weight coefficients for the
weighted control allocation scheme.