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基于BLDCM的智能播种控制系统设计
引用本文:郭宏亮,赵瑜会,李名伟,于婷婷.基于BLDCM的智能播种控制系统设计[J].农机化研究,2019(2):201-205,210.
作者姓名:郭宏亮  赵瑜会  李名伟  于婷婷
作者单位:吉林农业大学信息技术学院
基金项目:国家星火计划项目(2015GA660004)
摘    要:针对地轮驱动的玉米排种工作方式存在地轮打滑而造成漏播率增加的问题,设计了基于无刷直流电机驱动(Brushless Direct Current Motor,BLDCM)的智能播种控制系统。该系统以STM32单片机作为PID控制器的核心处理器,利用无刷直流电机作为排种器驱动源,并通过增量式编码器实时采集排种器的转速,同时利用霍尔传感器获取播种作业速度。为实现PID控制的最优化,在Simulink环境下建立无刷直流电机的仿真模型,并结合PSO(Particle Swarm Optimization,粒子群优化)算法对PID参数进行优化设计。仿真结果表明:经PSO整定后,PID控制器的阶跃响应效果良好,超调量为4%,调节时间为0.12s。田间试验结果表明:在低速、中速、高速和变速作业条件下,本电机驱动系统较传统地轮驱动系统在漏播指数方面分别降低了0.9%、1.1%、1.4%和1.3%,在播种合格指数方面分别提高了1.8%、3.8%、2.8%和1.7%。

关 键 词:智能播种  PID控制器  粒子群算法  STM32单片机  熟无刷直流电机

Design of Intelligent Sowing Control System Based on BLDCM
Guo Hongliang,Zhao Yuhui,Li Mingwei,Yu Tingting.Design of Intelligent Sowing Control System Based on BLDCM[J].Journal of Agricultural Mechanization Research,2019(2):201-205,210.
Authors:Guo Hongliang  Zhao Yuhui  Li Mingwei  Yu Tingting
Institution:(College of Information, Jilin Agricultural University, Changchun 130118, China)
Abstract:An intelligent seeding control system based on Brushless Direct Current Motor (BLDCM) is designed to solve the problem of the increasing rate of missing seeding caused by the slide of the land wheel during sowing work. In this system, we use a STM32 microcontroller as the core processor of the PID controller, using the BLDCM as a drive source for the seed metering device , collecting the speed of the seed metering device through a incremental encoder, and using the Hall sensor to obtain the sowing speed. In order to realize the PID control optimization, a simulation model of BLDCM is established in the simulink integrated development environment, and the PID parameters are optimized by PSO (Particle Swarm Optimization) algorithm. The simulation results show that the PID controller after PSO tuning has a good step response, the overshoot is 4%, and the adjustment time is 0.12s. Field test results show that in the condition of low speed, medium speed, high speed and variable speed operation, the miss index of the motor drive system designed in this paper is 0.9%, 1.1%, 1.4% and 1.3% lower than that of the traditional wheel drive system respectively, and enhancing 1.8%, 3.8%, 2.8% and 1.7% in the seeding qualified index respectively.
Keywords:intelligent sowing  PID controller  PSO  STM32 chip microcomputer  BLDCM
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