四轴飞行器控制系统优化策略仿真研究

Simulation Research on Optimization Strategy of Four Axis Aircraft Control System

四轴飞行器控制系统的优劣决定了飞行的稳定性能。由于传统的PID控制器参数固定,存在着动态效果不佳、控制精度不高的问题,针对其具有非线性、强耦合、时变等特点,提出了一种采用变论域模糊的四轴飞行器复合控制策略,在不改变模糊控制结构和规则的前提下,根据对系统误差的大小进行分级选择合适的伸缩因子,从而实时改变模糊控制器的输入和输出论域,使控制器能够较好兼顾系统的快速性与准确性的性能需求。仿真结果表明采用误差分级的变论域模糊PID控制策略能够有效的提高四轴飞行器的动态性能和控制精度,且具有较好的自适应能力和较强的抗干扰性能。

In order to deal with the characteristics of nonlinear, strong coupling and time - varying, a composite four axis aircraft control strategy based on variable universe fuzzy method is put forward. Under the premise of not changing the structure and rules of fuzzy control, the appropriate expansion factor is selected according to the classification of the size of the system error to change the input and output of the fuzzy controller in real time and make the controller can balance the performance requirements of the system＇s rapidity and accuracy. The simulation results show that the proposed variable universe fuzzy PID control strategy can effectively improve the dynamic performance and control accuracy of four axis aircraft, and also has good adaptive ability and strong anti - jamming performance.