直升机内回路姿态模糊控制

 主要研究了直升机内回路的姿态控制技术, 将专家知识和训练数据相结合产生直升机的内回路模糊姿态控制器。由于模糊控制所固有的特点, 以及直升机的飞行状态多变, 模糊姿态控制器无法对直升机进行精确控制, 提出了利用另一个在线自适应模糊系统来补偿控制误差的方法。自适应模糊控制器的自适应学习算法通过李亚普诺夫稳定性分析得到, 从而也保证了整个系统的稳定性。仿真算例证明了本方法的有效性。关键词: 直升机; 姿态控制; 模糊控制; 自适应控制; 仿真

Synthesis of Helicopter Inner Loop Fuzzy Attitude Control

A technology for designing a helicopter fuzzy attitude control system and its adjustment are studied in the paper. Based on the technology of fuzzy control, a fuzzy attitude controller is established through a combination of expert knowledge and training data. However, the fuzzy attitude controller cannot control the helicopter attitude precisely due to factors that it is difficult to generate a good fuzzy attitude controller and a helicopter has lots of flight modes. In order to minimize the fuzzy attitude controller's error and guarantee the stability of the attitude control system, an online adaptive fuzzy system is presented. The online adaptive fuzzy system can modify the inputs and the outputs of the fuzzy attitude control units, and improve the attitude control precision. The numeric simulation results demonstrate the validity of the method that is put forward by this paper.