A New Control Allocation Method Based on the Improved Grey Wolf Optimizer Algorithm for Aircraft with Multiple Actuators

Wendong Gai, Chengxian Sun, Yecheng Zhou, Jing Zhang
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Abstract

In this paper, a new control allocation method which is based on the improved grey wolf optimizer (IGWO) algorithm is proposed for redundant control of aircraft with multiple actuators. Firstly, we introduce the ADMIRE model which is an aircraft with multiple actuators. Then, the controller based on the linear quadratic regulator (LQR) theory is designed, and the control allocation method based on IGWO algorithm is introduced. Finally, to prove the method is effectiveness, the actuator without failure and the actuator with loss of effectiveness failure are both considered in the simulation. The results show that the attitude angle control of aircraft with multiple actuators can be realized by this method.
基于改进灰狼优化算法的多作动器飞机控制分配新方法
针对多作动器飞机的冗余控制问题,提出了一种基于改进灰狼优化算法(IGWO)的控制分配新方法。首先,我们介绍了具有多个作动器的飞行器的钦佩模型。然后,设计了基于线性二次型调节器(LQR)理论的控制器,并介绍了基于IGWO算法的控制分配方法。最后,为了证明该方法的有效性,在仿真中同时考虑了无失效致动器和失效致动器。结果表明,该方法可以实现多作动器飞行器的姿态角控制。
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