摘要
针对某型发动机数字调节器导流叶片控制系统存在的延迟较大、稳定性差的问题,设计了一种小脑模型神经网路(CMAC)和PID复合控制算法。该方法对状态量进行浮点编码量化,控制系统初始阶段由PID算法控制,逐渐过渡到CMAC完全控制,能提高系统的响应速度并降低稳态误差。仿真结果表明该算法比单独的PID算法具有更好的控制效果。
Focused on the problems of long delay and poor stability of LPC control system of digital regulator of some aero engine, a method based on CMAC and PID was designed. During initial stage, the system is controlled by PID. Then, it is gradually controlled by CMAC. The simulation result shows that this arithmetic improves control precision and response speed of the system, and provides better anti-jamming capability compared with traditional PID control arithmetic.
出处
《弹箭与制导学报》
CSCD
北大核心
2009年第4期154-156,共3页
Journal of Projectiles,Rockets,Missiles and Guidance
基金
空军科研基金资助
