文章摘要
火箭弹电动舵机模糊单神经元PID控制算法研究
Research on Fuzzy Single Neuron PID Control Algorithm for Electric Steer Motor of Rocket
投稿时间:2019-09-02  修订日期:2019-09-30
DOI:
中文关键词: 电动式舵机,模糊推理,单神经元,PID控制器
英文关键词: electric steering gear, fuzzy inference, single neuron, PID controller
基金项目:
作者单位E-mail
孙建飞 中北大学 18335162601@163.com 
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中文摘要:
      针对制导火箭弹电动式舵机,为提高其响应速度和精度,本文在模糊PID控制基础上,提出了模糊单神经元PID控制方法。本文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。
英文摘要:
      In order to improve the response speed and accuracy of the electric steering motor control of guided rocket, a fuzzy PID control method with single neuron setting output coefficient is proposed based on fuzzy PID controller. In this paper, the servo system model of rocket is established firstly, and then an intelligent control system is built by combining fuzzy inference, single neuron self-learning algorithm and PID controller to achieve accurate and fast response to the input command of the servo. The simulation results show that the servo system can improve the traditional fuzzy PID controller effectively in step response adjustment time, overshoot and sinusoidal tracking, which shows that the servo system has good dynamic and static performance, self-adaptability and stability.
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