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飞机自动驾驶仪俯仰控制系统仿真研究
引用本文:罗英.飞机自动驾驶仪俯仰控制系统仿真研究[J].中国民航飞行学院学报,2012(3):24-27.
作者姓名:罗英
作者单位:中国民航飞行学院航空工程学院,四川广汉,618307
基金项目:中国民航局科技基金项目(MHRD0712)
摘    要:分别对比设计了PID控制器、LQR最优控制器和模糊控制器,并建立了对应的Matlab控制模型进行仿真研究。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控制器能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,而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。

关 键 词:俯仰控制  PID控制  LQR控制  模糊控制

Simulation Study on Aircraft Autopilot Pitch Control System
Luo Ying.Simulation Study on Aircraft Autopilot Pitch Control System[J].Journal of China Civil Aviation Flying College,2012(3):24-27.
Authors:Luo Ying
Institution:Luo Ying (Aviation Engineering Institute, Civil Aviation Flight University of China, Guanghan, 618307, Sichuan, China)
Abstract:This paper compares PID controller, LQR controller and fuzzy controller, and their Matlab simulation models which have been designed respectively. The step response simulation experimental results show that LQR controller and fuzzy controller of the aircraft autopilot pitch system can realize better control of aircraft pitch angle, faster responding speed and lower overshoot than those of classical PID controller. And LQR controller has faster responding speed and tracking per- formance than those of fuzzy controller. Compared with LQR controller, however, fuzzy controller of aircraft autopilot pitch system has better integral performance including good robustness, fast tracking and steady-state behavior, which is more suitable for application in actual flight conditions.
Keywords:Pitch control PID controller LQR controller Fuzzy controller
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