基于CMAC-模糊PID模型的火箭炮调平控制系统仿真

Simulation Research of Rocket Artillery Leveling Control System Based on CMAC-Fuzzy PID Model

针对传统PID模型在火箭炮调平系统中出现调平速度不快、调平精度不高等现象,提出了一种小脑神经网络(CMAC)与模糊PID相结合的算法,充分利用模糊PID在超调量方面的优势和CMAC的自适应能力,使得车载调平控制系统的调平效果得到了很大的提高。仿真结果表明,相对于传统的PID模型和模糊PID,CMAC-模糊PID模型无论在超调量、调平精度、调节时间和抗干扰的能力上都有显著的提高。

For solving the problem of slow leveling speed and low leveling accuracy caused by traditional PID model in the leveling process of rocket artillery, CMAC-Fussy PID model which takes advantage of small overshot of fussy-PID model and adaptive ability of CMAC model was proposed to improve the level- ing effect. The simulation results of MATLAB show that CMAC-Fussy PID model is better than traditional PID model and Fuzzy PID model not only in overshot, leveling accuracy and leveling time, but in the ca- pacity of resisting disturbance.