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Application of the improved BP neural network in Optimization design of control system of simple pendulum surface plate

机译:改进的BP神经网络在简单摆片表面板控制系统优化设计中的应用

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According to the characteristics of large angle of pendulum movement, in order to ensure the stability of the fixed plate motion pendulum, to analysis quantitatively the relation of oscillation angle and plate movement, it designed an automatic flat control system with STC89C52RC as the core of control chip, collected the information of oscillation angle by the sensor of angle, controls the angle of surface plate by advanced four phase stepper motor, uses the improved BP neural network to real-time correction in the software design part, the control system has high control precision, the stability and speedability of control system of surface plate were improved by measuring.
机译:根据大角度的柱式运动的特点,为了确保固定板运动摆的稳定性,分析振荡角和板运动的关系,设计了一种自动平面控制系统,STC89C52RC为控制核心芯片,通过角度传感器收集振荡角度的信息,通过先进的四相步进电机控制表面板的角度,使用改进的BP神经网络在软件设计部分的实时校正,控制系统具有高控制精度,通过测量改善了表面板控制系统的稳定性和可速度。

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