摘要
基于模糊控制理论研究了飞行控制系统舵面控制的自适应PID控制算法;首先分析了无刷直流电机的工作原理,并基于无助力和不可逆助力飞行操纵系统分别建立了飞控舵机负载及等效转动惯量模型,然后通过模糊推理和优化决策,给出了一种参数在线自整定的模糊PID舵面控制算法;仿真结果表明,模糊自适应PID控制相比传统PID控制,其动态品质和跟踪性能均得到较大改善,提高了舵面控制的快速性和准确性,反映了其良好的自适应性和鲁棒性。
The adaptive PID control algorithm for flight control surface actuation of flight control system has been researched based on the fuzzy control theory. First, the principle of brushless DC motor is analyzed, then the models of load and equivalent moment of inertia for servo actuator are established based on the powerless and irreversible power--boosted flight control systems. Moreover, a parameter self-- tuning fuzzy PID control algorithm for flight control surface is proposed based on fuzzy logic and optimized decision. Simulation results show that the fuzzy adaptive PID controller achieves significant improvements in dynamic characteristics and tracking performance compared to the conventional PID controller, and provides higher speed and accuracy for flight control surface actuation. The results reveal good adaptability and robustness of the designed algorithm.
出处
《计算机测量与控制》
北大核心
2014年第4期1065-1068,1072,共5页
Computer Measurement &Control
基金
海军武器装备预先研究重点项目(4010904020101)
国家科技部"973"计划资助项目(2010CB731802)
关键词
模糊控制
飞行控制系统
舵面控制
自适应PID控制
fuzzy control
flight control system
flight control surface actuation
adaptive PID control
