一种用于空战仿真的模糊-自适应控制系统

该文综合应用模糊控制技术，自适应控制技术和遗传算法设计了一种通用的混合型飞行状态控制系统，用于模拟飞行员在空战时对战斗机的基本控制功能。首先，我们根据飞行员的驾驶经验构造了一个模糊控制器，并用遗传算法对其优化。然后，将所得到的模糊控制器与战斗机仿真模型一起作为一个控制对象，用自适应控制方法进行,以提高整个控制系统对不同战斗机模型的适应能力。仿真结果表明，这种控制方法取得了良好的控制效果，用于多种型号的战斗机模型。

A Fuzzy-Adaptive Controller Used In Air Combat Simulation

In this paper, a new general-use hybrid flight state control system based on the fuzzy and adaptive control technologies as well as the genetic algorithms is designed to imitate the pilot's fundamental ability for controlling the fighter in air combat. First, a fuzzy controller is constructed according to pilot's driving experience and the parameters are optimized via the genetic algorithms. Then, the loop of the suggested fuzzy controller and the fighter simulating model is treated as a plant and is controlled with the adaptive control technique so that the control system's adaptability to different fighter model is improved. The simulation results shows that this control system can achieve good performance and can be used to different types of fighters in combat simulation.