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基于神经网络和DSPTMSF2812的风力摆伺服控制系统设计
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山西省重点研发计划(指南)项目(201603D121040-1)


Design of Wind Pendulum Servo Control System Based on Neural Network and DSP-TMSF2812
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    摘要:

    现今,国内使用于风力摆上的伺服控制器多为简单的PID控制且核心处理器大多为MCU。鉴于MCU的数据处理能力欠佳、数据运算速度慢,灵活性不足等诸多局限,难以满足风力摆的功能要求和精确控制等因素,设计以32位浮点DSPTMSF2812@150 MHz为核心的高精度风力摆伺服控制系统,包含三维陀螺仪加速度计传感器集成模块MPU6050、LED显示屏、人机交互系统及万向节结构等组成闭环控制系统,采用陀螺仪经姿态解算为控制系统提供神经网络PID精确控制的风机转速数据和脉冲宽度调试技术控制大电流驱动芯片BTN7971,精确控制直流风机的转速、方向、启停等诸多工况,实现对激光笔位置的精确控制,具有仅以直流风机为动力控制下快速起摆、画线、恢复静止的功能,并能准确画圆,且受风力影响后能够快速恢复画圆状态,具有很好的鲁棒性。实验结果表明:该神经网络风力摆伺服控制系统具有控制精度高、灵活性好、实时性好等优点。

    Abstract:

    Nowadays,servo control systems used in wind pendulum in China are mostly simple PID control and their core processors are mostly MCU.Considering the limitations of MCU in poor data handling capacity,slow data operation and insufficient flexibility,it is difficult to satisfy the function requirements and accurate control of wind pendulum.Therefore,a high-accuracy wind pendulum servo control system with the core of 32bit floating point DSP-TMSF2812@150MHz was designed,whose closed-loop control system was composed of gyroscope MPU6050,LED panel,manmachine interactive system and universal joint structure.Besides,the positioning of the gyroscope was adopted to provide the control system with the fan rolling speed data and pulse width debugging technique accurately controlled by neural network PID to control the large current driver chip BTN7971 so as to accurately control the revolving speed,direction as well as start-stop of the DC fan,thus a precise control to the position of the laser pen was realized.What’s more,it could realize the functions of rapid pendulum,line drawing and resting only under the dynamic control of DC fan.Meanwhile,it could also accurately draw a circle and quickly return to the state of circle drawing after being influenced by wind,so it had quite good robustness.The experimental result shows that this neural network wind pendulum control system has high control accuracy,good flexibility and timeliness.

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杜金祥,岳光.基于神经网络和DSPTMSF2812的风力摆伺服控制系统设计[J].机床与液压,2017,45(22):157-161.
. Design of Wind Pendulum Servo Control System Based on Neural Network and DSP-TMSF2812[J]. Machine Tool & Hydraulics,2017,45(22):157-161

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  • 在线发布日期: 2018-04-09
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