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Application of PI Control Algorithm to Discrete Manufacturing Systems
作者姓名:郭彩芬  王宗荣
作者单位:[1]School of Mechanical & Electrical Engineering, Suzhou Vocational University, Jinzhou 215104, China [2]College of Information Engineering, Nanfing University of Aeronautics & Astronautics, Nanfing 210016, China
基金项目:Science Fund of Key Laboratory of Intelligent Control Theory and Application of High Academies in Liaoning Province ( No. 200521303)
摘    要:PI (proportional-integral) control algorithm is applied to control WlP (work-in-progress) in a discrete manufacturing system, where the cascade control of PI controllers is presented. It is in the frequency domain that the PI controller is designed with constraints on sensitivity options to ensure the stability and robustness of its parameters. A case is evaluated on a motorcycle engine crankcase production system, whose simulation results confirm that demand fluctuations can be compensated by PI controllers under a normal demand. PI controllers also possess low sensitivity to the distribution of production times.

关 键 词:均衡积分控制算法  工作进程控制  灵敏度  控制技术
文章编号:1005-2429(2006)04-0331-08
收稿时间:2005-12-21

Application of PI Control Algorithm to Discrete Manufacturing Systems
Guo Caifen,Wang Zongrong.Application of PI Control Algorithm to Discrete Manufacturing Systems[J].Journal of Southwest Jiaotong University,2006,14(4):331-338.
Authors:Guo Caifen  Wang Zongrong
Abstract:PI (proportional-integral) control algorithm is applied to control WIP (work-in-progress) in a discrete manufacturing system, where the cascade control of PI controllers is presented. It is in the frequency domain that the PI controller is designed with constraints on sensitivity options to ensure the stability and robustness of its parameters. A case is evaluated on a motorcycle engine crankcase production system, whose simulation results confirm that demand fluctuations can be compensated by PI controllers under a normal demand. PI controllers also possess low sensitivity to the distribution of production times.
Keywords:Proportional and integral control algorithm  Work-in-progress control  Sensitivity
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