杂草入侵ABC算法及其在控制分配中的应用

针对广义逆在进行控制分配时存在分配效率较低的问题,提出了一种新的控制分配方法.首先,利用人工蜂群算法(ABC)对伪逆阵进行寻优,选择较大的转矩可达集体积,从而提高系统的分配效率;然后,采用杂草入侵算法中的子代空间扩散机制和繁殖机制,分别取代了ABC中盲目性的进化方式和轮盘赌式的选择策略,解决了该算法可能出现收敛速度降低和陷入局部最优等问题;最后,通过仿真验证了提出的控制分配方法能有效地解决多操纵面飞机的控制分配问题.

Artificial Bee Colony Algorithm with Invasive Weed Optimization and Its Application in Control Allocation

In order to solve the problem that the direct application of generalized inverse algorithm to control allocation with multi-control surface aircraft usually results in low allocation efficiency,a new control allocation approach is proposed.Firstly,the optimal weighting matrix parameters can be computed by artificial bee colony (ABC) algorithm and the allocation efficiency can be increased by choosing larger volume of the attainable moment subset.Secondly,with the development of research in ABC,the algorithm can be trapped into the local optimum readily in the choice of strategy on the roulette selection and the convergence speed will be reduced under the blindness evolutionary way,therefore,the invasion weed mechanism is introduced into the ABC to solve the problem of the original algorithm.Finally,the simulation results show the feasibility of algorithm improvement,and the control of aircraft can be solved due to the control allocation method.