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  • 主管单位:
  • 中国科学技术协会
  • 主办单位:
  • 中国仪器仪表学会、上海光学仪器研究所、中国光学学会工程光学专业委员会
  • 主  编:
  • 庄松林
  • 地  址:
  • 上海市军工路516号上海理工大学《光学仪器》编辑部
  • 邮政编码:
  • 200093
  • 联系电话:
  • 021-55270110
  • 电子邮件:
  • gxyq@usst.edu.cn
  • 国际标准刊号:
  • 1005-5630
  • 国内统一刊号:
  • 31-1504/TH
  • 邮发代号:
  • 单  价:
  • 15.00
  • 定  价:
  • 90.00
Smith预估模糊PID控制算法及其在粉末定量称重中的应用
Smith predictive fuzzy PID control algorithm and its application in powder quantitative weighing
投稿时间:2023-02-07  
DOI:10.3969/j.issn.1005-5630.202302070014
中文关键词:  粉末定量称重  Smith预估器  模糊PID控制器  自动化
英文关键词:quantitative weighing of powder  Smith predictor  fuzzy PID controller  automation
基金项目:
作者单位E-mail
陈奇 上海理工大学 光电信息与计算机工程学院上海 200093  
袁旭军 上海科源电子科技有限公司上海 200612  
张荣福 上海理工大学 光电信息与计算机工程学院上海 200093 zrf@usst.edu.cn 
郑阳 上海理工大学 光电信息与计算机工程学院上海 200093  
摘要点击次数: 150
全文下载次数: 121
中文摘要:
      针对上海科源电子科技有限公司研发的定量称重系统(由高精度抖粉装置与万分之一天平组成),在工作中因粉末密度、粉末流动性、颗粒大小、湿度、天平延时等因素造成的非线性和滞后等问题,采用Smith预估模糊PID控制器优化控制方法。首先通过理论分析,得出系统的传递函数,再构建Smith预估的模糊PID控制器,以适应系统的非线性、滞后等特性,最后将此算法代入MATLAB进行仿真并于实际系统中进行1 g定量抖粉实验。Smith预估模糊PID控制算法和传统PID算法的标准差分别为0.0020和0.0042,表明Smith预估模糊PID控制算法在实际环境中稳定性更好,能有效减小系统的称重误差。
英文摘要:
      Aiming at the quantitative weighing system developed by Shanghai Cohere Electronic Technology Co., Ltd. (consisting of a high-precision powder shaking device and a 1/10000 balance), which has nonlinearity and time delay problems due to factors such as powder density, powder fluidity, particle size, humidity, and balance delay during operation, the Smith predictive fuzzy PID controller is used to optimize the control method. Firstly, based on theoretical analysis, the transfer function of the system is obtained, and then a Smith predictive fuzzy PID controller is constructed to adapt to the nonlinearity, time delay, and other characteristics of the system. Finally, this algorithm is substituted into MATLAB to perform simulation, and a 1 g quantitative shaking experiment is carried out in the system. The standard deviation of the Smith predictive fuzzy PID control algorithm and the traditional PID algorithm is 0.0020 and 0.0042, respectively. In conclusion, the Smith predictive fuzzy PID control algorithm has better stability in practical environments and can effectively reduce the weighing error of the system.
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