基于改进差分进化算法的飞行控制律评估方法

 针对基本差分进化(DE)算法收敛慢、易陷入局部最优的问题,提出了基于混沌理论(CT)与高斯扰动的DE算法,进而通过典型测试函数仿真证明了该方法在收敛速度与全局搜索能力方面均优于基本型和其他改进型DE算法。在此基础上构建了基于DE算法的飞行控制律评估流程与实施步骤。实例表明,该方法克服了传统评估方法的缺陷,可在全飞行包线范围内及所有可预测参数摄动情况下对飞行控制律进行快速、准确的评估。

Evaluation Method for Flight Control Law Based on Modified Differential Evolution Algorithm

An evaluation method for a fight control law based on modified differential evolution (DE) algorithm is provided. A new modified method based on chaos theory (CT) and Gaussian disturbance (GD) is proposed to deal with the problem of slow search and premature convergence in the basic DE algorithm. Compared with the basic DE and other DE methods, experimental simulations show that the proposed method can not only significantly speed up the convergence, but also effectively solve the premature problem. And then the process to proceed the evaluation of the flight control law is put forward. Finally, the new method is applied to the evaluation of a flight control law. Result shows that the new method overcomes the limitations of the traditional evolution method, and can achieve satisfied results both for the whole flight envelope and for all predictable parameter perturbations.