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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。
Aiming at the problem that the basic differential evolution (DE) algorithm converges slowly and is easy to fall into the local optimum, a DE algorithm based on chaos theory (CT) and Gaussian perturbation is proposed. Furthermore, through the typical test function simulation, it is proved that the proposed algorithm converges rapidly with the global search Capabilities are superior to the basic and other improved DE algorithm. Based on this, a flight control law assessment process and implementation steps based on DE algorithm are constructed. The examples show that this method overcomes the shortcomings of the traditional evaluation methods and can quickly and accurately evaluate the flight control law within the scope of the full flight envelope and the perturbation of all predictable parameters.