基于PSO的自抗扰飞行控制律参数优化方法

Parameters Optimization of Flight Control Law Using ADRC for Super-maneuverable Aircraft Based on PSO

提出了一种基于粒子群优化(PSO)的自抗扰(ADRC)超机动飞行控制律参数优化方法。分析了自抗扰超机动飞行控制律的参数取值和调节问题,讨论了扩张状态观测器(ESO)中非线性函数的系数对系统性能的影响,并给出了系统的性能指标函数。在给定的参数范围内,采用标准的PSO算法对ESO中非线性函数的系数进行了参数优化,优化结果表明:这种算法可以按性能指标搜索到近似的最优参数。采用该算法得到的参数对超机动飞行控制律进行了数字仿真。仿真结果表明:控制律具有良好的动态和稳态性能,该参数优化方法是有效的。

Exact prediction of unsteady aerodynamics is of great importance to the design and study of ad-vanced combat aircraft. In response to the problem of complex calculating and lack of considerable factors in handling normal state-space model, a new flow separation model and a new state-space aerodynamics model are put forward in this paper. Compared with normal state-space model, complex calculation of dif- ferential equations is avoided and simultaneously a new influence factor -pitching angular velocity is intro- duced in the new state-space model which makes the physical meaning of the new state-space model pro- posed in the paper become clearer and more definite. At the same time, the static and dynamic proceedings are combined into one equation by the flow separation model proposed in the paper. At last, the large am-plitude oscillation wind tunnel data are used for testing, the result suggests that the unsteady aerodynamic model proposed in this paper can describe the time-delay characteristics of the aerodynamic force and fit well with the wind tunnel test data.