火箭弹电动舵机模糊单神经元 PID控制算法

Fuzzy Single Neuron PID Control Algorithm of Rocket Electric Steer Motor

摘要:

针对制导火箭弹电动式舵机,为提高其响应速度和精度,文章在模糊 PID控制基础上,提出了模糊单神经元 PID控制方法。首先,建立了火箭弹舵机系统模型；然后,将模糊推理、单神经元自学习算法和 PID控制相结合,建立智能控制系统,以实现对舵机输入指令的精确、快速响应。经仿真实验表明:在此智能控制下,舵机位置在阶跃响应的调节时间、超调量以及正弦跟踪上相对于传统模糊 PID控制均得到有效改进,具有良好的动静态性能、自适应性和稳定性。

Abstract:

In order to improve the response speed and accuracy of control for the electric steering motor in guided rocket, afuzzy PID control method with single neuron setting output coefficient was proposed based on fuzzy PID controller in thispaper. The servo system model of rocket was established firstly, and then an intelligent control system was built by combin?ing fuzzy inference, single neuron self-learning algorithm and PID controller to achieve accurate and fast response to theinput command of the servo. The simulation results show that the servo system can improve the traditional fuzzy PID con?troller effectively in step response adjustment time, overshoot and sinusoidal tracking, which shows that the servo systemhas good dynamic and static performance, self-adaptability and stability.