采用智能算法参数整定的磁流变减摆自抗扰控制

为了提高飞机起飞和降落过程中的稳定性及安全性，采用磁流变阻尼器进行飞机前轮摆振控制。本文描绘了改进的Bouc-wen模型磁流变阻尼器的力学特性，并将之用于一个三自由度的飞机前起落架模型中，而后为此设计了减摆自抗扰控制器(active disturbance rejection control, ADRC)；然后采用混沌分数阶天牛群算法整定优化自抗扰控制器的参数。最后，仿真结果显示经智能算法优化参数后的减摆自抗扰控制器能够较好地控制摆振现象，并且其性能具有一定的鲁棒性。

Active disturbance rejection control of the magneto-rheological shimmy damper based on the smart chaos fractional-order beetle swarm optimization algorithm

To improve the stability and safety of an aircraft during the take-off and landing, a magneto–rheological damper is applied to the shimmy control of its front wheel. In this paper, the mechanical properties of a modified Bouc–Wen magneto–rheological damper are described, which is used in an aircraft landing gear model with three degrees of freedom and for which a third-order active disturbance rejection controller (ADRC) is later designed; subsequently, the chaos fractional-order beetle swarm optimization is used to optimize the controller parameters. Finally, the simulation results indicate that the controller with optimized parameters exhibits good performance in shimmy reducing control with certain robustness.