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作 者:洪鹤庭 倪律超 孙红春[1] HONG He-ting;NI Lyu-chao;SUN Hong-chun(School of Mechanical Engineering and Automation,Northeastern University,Shenyang 110819)
机构地区:[1]东北大学机械工程与自动化学院,辽宁沈阳110819
出 处:《机械设计》2021年第11期78-84,共7页Journal of Machine Design
基 金:辽宁省新工科研究与实践立项项目(LNXG202011)。
摘 要:设计了一种基于BP神经网络与PID控制的自驱动精密圆规,通过STM32F103C8T6单片机控制8 mm微型直流电机操纵丝杆驱动滑块,搭配优质编码器使圆规动脚在沿丝杆长度方向直线往复运动时能够保证足够的精度。同时基于MATLAB/Simulink对伺服系统进行了建模与仿真,引入BP神经网络搭配PID控制,选择最优参数后,减小了系统的误差,且在仿真结果中发现所构建的系统模型对位置的控制性能好,超调量较小,调节速度快,准确度高。得到的结论对于模型的设计改造,提升系统的精确性、稳定性、耐用性有着很大的参考价值。In this article, a self-driving precise bow compass is designed based on BP + PID, which uses the 8 mm micro DC motor to control the screw drive slider through the STM32 F103 C8 T6 single-chip microcomputer with a high-quality encoder. The bow compass’ s moving foot ensures the linear reciprocating movement along the length of the screw. Thus, sufficient accuracy is realized. At the same time, the servo system is modeled and simulated with the help of MATLAB/Simulink, and the BP neural network is introduced with the PID control. After the optimal parameters are selected, the system error reduces. The simulation results show that the system model has such advantages as good control of position, small overshoot, fast adjustment speed and high accuracy. The conclusions have great reference for design and transformation of the model on one hand and help in the improvement of the system accuracy, stability and durability on the other hand.
分 类 号:TB22[天文地球—大地测量学与测量工程]
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