基于迭代学习控制的起落架加载系统

System Analysis and Simulation Based on the Iterative Learning Algorithm of the Landing Gear Load

针对起落架加载系统存在多余力,且多余力严重影响加载系统的精确度,同时为提高加载系统的性能,介绍了起落架加载系统的工作原理,对其建立完整的数学模型,分析了多余力产生的机理。基于迭代学习控制算法提出加载系统控制方案,对采用迭代学习控制的前后的模型进行仿真分析,结果表明,迭代学习控制算法能够有效的抑制加载过程中的多余力,提高加载系统性能。

Redundant power and redundant power seriously affect the accuracy of the loading system for the landing gear loading system, as well as enhance the performance of the loading system, landing gear loading system works, a complete mathematical model, the excess forcegenerating mechanism. Based on iterative learning control algorithm loading system control program using iterative learning control before and after the model simulation and analysis results show that the iterative learning control algorithm can effectively suppress the excess loading process to improve the performance of the loading system.