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一种油门杆的高精度随动控制方法

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随着无人机的升级换代,对自动驾驶的油门控制精度不断提高,本文设计了一种信号滤波算法和PID控制算法实现无人机油门杆高精度随动的控制方法.本设计采用了16 位的高精度霍尔传感器,通过16 位A/D转换器采集传感器信号,选用4 阶IIR滤波器对信号进行滤波,实现了油门杆在任意位置可稳定输出16 位分辨率的数据,并通过RS422 接口发送给上位机.在随动模式下,本设计采用了PID控制算法,结合步进电机和多级减速齿轮组配合,可以实现油门杆的高精度随动,随动精度达到0.2°,并在某型号无人机上得到了测试验证.
A High-precision Servo Control Method for Throttle
With the upgrading and replacement of drones,the accuracy of throttle control for autonomous driving is constantly improving.This paper designed a signal filtering algorithm and PID control algorithm to achieve high-precision servo control of drone throttle lever.This design used a 16 bit high-precision Hall sensor,which collected sensor signals through a 16 bit A/D converter.A 4th order IIR filter was used to fil-ter the signal,achieving stable output of 16 bit resolution data at any position of the throttle lever,which was sent to the upper computer through the RS422 interface.In the follow-up mode,this design adopted PID control algorithm,combined with stepper motor and multi-stage reduction gear group,to achieve high-preci-sion follow-up of the throttle lever,with a follow-up accuracy of 0.2 °.It has been tested and verified on a certain model of unmanned aerial vehicle.

throttleIIR filterPID controlfollow-up

吴凡、王新华

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南京航空航天大学 自动化学院,南京 210000

连云港杰瑞电子有限公司,江苏 连云港 222006

油门杆 IIR滤波器 PID控制 随动

2024

微电机
西安微电机研究所

微电机

CSTPCD
影响因子:0.431
ISSN:1001-6848
年,卷(期):2024.57(9)