Abstract: It is difficult to build accurate mathematical models of the vehicle attitude control system by common kind of control methods as the structure is very complex. To improve the control accuracy, a new method based on Fuzzy Control（FC） is applied to designing the controller for longitudinal channel of the system. Based on fuzzy logic theory, the fuzzy regulation is formed according to the input and output information of the system. The fuzzy controller is designed by corresponding fuzzy inference. The simulation results show that the controller based on FC has stable performance. The adjustment time of the vehicle attitude control system is less than 1 s and the overshoot is less than 3%. The system is able to keep the preferable effect in the circumstance of small disturbance or fault. The steady accuracy and dynamic character of the system are improved effectively.

Key words: vehicle, attitude control, fuzzy control, fuzzy inference, steady accuracy

摘要： 飞行器姿态控制系统结构极其复杂，难以建立准确的数学模型。为了实现姿态的精确控制，将模糊控制方法应用于飞行器纵向通道姿态控制中，在模糊逻辑理论的框架下，根据姿态控制系统的输入输出量，提出了一种模糊规则优化设计方案，通过模糊推理，实现了对飞行器姿态的模糊控制。仿真结果表明，所设计的模糊控制器性能稳定，系统响应的调整时间在1 s以内，超调量不超过3%，且小扰动情况下仍能保持较好的控制效果，有效提高了系统的稳态精度与动态品质。

关键词: 飞行器, 姿态控制, 模糊控制, 模糊推理, 稳态精度