LQR与Fuzzy控制在飞机俯仰运动中的对比仿真

目的为解决传统PID控制控制参数固定、控制响应速度慢、超调量大,难以完成飞机自动驾驶仪俯仰系统控制的问题;方法分别设计LQR最优控制器和模糊控制器,并建立对应的Matlab控制模型进行仿真研究;结果阶跃响应仿真实验结果表明,飞机俯仰系统LQR控制器与模糊控制器比飞机俯仰系统PID控制器更好地实现对飞机俯仰角的控制,具有响应快速,超调小,误差小的优点;飞机俯仰系统LQR控制器比模糊控制器响应更快,跟踪性能更好;结论飞机俯仰系统模糊控制器在抗干扰鲁棒性、跟踪性能和稳态性能指标综合考虑上优于LQR控制器,更适用于实际的飞行环境。

Comparison and Emulation on LQR & Fuzzy Control in Aircraft Pitching Movement

Aim To solve problems of traditional PID control such as fixed control parameter,slow control response,too big dispatching volume etc.Methods Separately design LQR optimum controller and fuzzy controller,and establish the corresponding Matlab control modules for eumulation research.Results experiments show that LQR controller and Fuzzy controller can better control aircraft pitching angle than PID,and are characterized by quick response,small dispatching volume and small error;LQR is more quicker than fuzzy controller in terms of response and better in terms of tracking performance.Conclusion Fuzzy controller is superior to LQR controller in terms of anti-disturbance robust,tracking performance and stability performance index.