摘要
本文研究了翼伞系统的自主归航控制技术。采用输入信息少的模糊控制器会影响翼伞的控制精度,而当输入信息较多是会使模糊控制器的模糊规则判断复杂化,影响控制器的反应速度。本文基于因素空间理论,对多输入的翼伞航迹跟踪模糊控制器的模糊推理规则判断进行了简化处理。经简化后的模糊推理机制,在不损失输入信息和不损害模糊控制器的前提下,利用最少的输入信息达到相同的模糊推理结果,大大减小了不必要的模糊推理,降低了模糊控制器的计算负担,大大提高了翼伞航迹跟踪的实时控制效果。仿真结果证明了新方法的有效性。
This paper investigates the autonomous homing control technology of parafoil system. With less input information of the fuzzy controller may affect the control precision of parafoil, but when with multiple input information may complicate the fuzzy rules judgment of fuzzy controller, affect the response speed of the controller. Based on the theory of factors space, this paper simplified the fuzzy reasoning rule processing of multiple input fuzzy controller of parafoil trajectory path tracking. After simplifying the fuzzy reasoning mechanism, with the premise of without losing the input information and no damage the fuzzy controller,use the least input information to achieve the same results of fuzzy reasoning, greatly reduce the unnecessary fuzzy reasoning, reduced the calculation burden of the fuzzy controller,greatly improving the real-time control effect of the parafoil trajectory tracking. Simulation results show the improvement of the new method.
出处
《模糊系统与数学》
北大核心
2017年第2期146-157,共12页
Fuzzy Systems and Mathematics
基金
国家自然科学基金资助项目(61304090)
辽宁省博士科研启动基金资助项目(201601366)
辽宁工程技术大学生产技术问题创新研究基金资助项目(20160059T)
关键词
翼伞
多输入
模糊控制
因素空间
parafoil
multiple input
fuzzy control
factor space