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为提高静态赋权控制分配策略虚拟指令可达集的使用率,基于改进粒子群算法提出了一种离线确定控制指令最优化权值的空间优化设计方案.分别建立了加权伪逆法和混合优化法的数学模型,推导出统一的控制律形式,并给出了构造可达集空间的算法;引入量子和遗传因子,通过粒子的交叉操作增强粒子群的多样性,以快速求解控制指令权值的全局最优点.仿真结果表明,设计的方案可以实现赋权控制分配策略可达集空间的最大化.
In order to improve the utilization of the reachable set of virtual instructions in the static-weight-control allocation strategy, an optimized space-based optimization design scheme is proposed based on the improved particle swarm optimization algorithm to determine the optimal weights for the control instructions. The weighted pseudo-inverse method and hybrid optimization Method, a unified control law form is deduced, and an algorithm to construct reachable set space is given. Quantum and genetic factors are introduced to enhance the diversity of particle swarm by the cross-operation of particles so as to quickly solve the weight of control instruction The simulation results show that the proposed scheme can maximize the space available for the allocation of reachability control strategies.