【摘要】 气动热实验是一种在地面上模拟考核飞行热环境下飞行器性能的有效手段。为提高实验中谱线跟踪性能,根据谱线的固定不变特性,利用分数阶迭代学习控制策略进行模拟实验。通过严格的理论分析,给出了分数阶PD~α型迭代学习控制器的收敛条件,并在此理论意义下进行谱线跟踪实验。实验结果表明:所提控制算法具有较小的动态控制误差和稳态控制误差,且缩短了实验过程中谱线的调试时间,提高了实验的有效性。更多还原

【Abstract】 Aerodynamic heating experiment is an effective method to simulate the performance of aircraft under thermal environment on the ground. In order to improve the performance of the spectral tracking,the method of fractional order PDαtype iterative learning control strategy is proposed to simulate the experiment,according to the constant characteristics of spectral during the experiment. With rigorous analysis,the convergence conditions of the fractional order iterative learning controller are given along the iteration axis,and the spectral tracking experiment is carried out in such theoretical significance. The experimental results indicate that the proposed control method obtains small dynamic control and steady state control errors,and shortens the time of the experiment process,and improves the validity of the experiment.更多还原