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基于模糊控制的蒸馏管路压力系统研究 被引量:6

Research on Pressure System of Distillation Based on Fuzzy Control
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摘要 根据物料守恒关系建立了管路压力的简化数学模型,针对传统PID算法适应性方面的不足以及蒸馏管路存在的进气干扰,提出对其管路压力采用自适应模糊PID控制算法,并利用前馈控制补偿进气口蒸汽的扰动。通过MATLAB对白酒蒸馏管路压力控制进行仿真研究,确定不同误差输入时的参数自整定规律。仿真结果表明,压力控制系统的静态和动态性能得到明显改善,响应时间快,超调量小,抗干扰能力强。 Mathematical model of pipeline pressure is built according to mass conservation.Aiming at solving the poor adaptability in routine PID algorithm and the disturbance of air inlet steam,adaptive fuzzy PID algorithm and Feed-forward controller are proposed in the control of pipeline pressure.System simulation is conducted by MATLAB,and parameter self-tuning rules under different errors are studied.Simulation results show that the pressure control system has better static and dynamic performance such as quicker response,smaller overshoot and better capacity of resisting disturbance.
出处 《仪表技术与传感器》 CSCD 北大核心 2014年第3期49-51,共3页 Instrument Technique and Sensor
关键词 管路压力 自适应模糊PID 参数自整定 前馈控制 pipeline pressure Adaptive Fuzzy PID algorithm parameter self-tuning feed-forward control
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  • 1汪志勇,刘晶,居滋培,许伟明.过程控制实验系统的研究[J].仪器仪表学报,2001,22(z1). 被引量:2
  • 2Liu D, Xiong W, Xu G, et al. An automated system for monitoring and controlling of rice wine fermentation[C]//2012 ASABE Annual Intemational Meeting. Dallas: American Society of Agricultural and Biological Engineers,2012.. 3643-3651.
  • 3VISOLI A Practical PID control [ M ]. London: Springer- Verlag, 2006.
  • 4O' DWYER A. Handbook of PI and PID controller tuning rules [ M ].London: Imperial College Press, 2006.
  • 5VISIOLI A. Modified anti-windup scheme for PID controller [J ]. IEE Proceedings Control Theory and Applications, 2003,150(1) : 49-54.
  • 6KRISTIANSSON B, LENNARTSON B. Evaluation and simple tuning of PID controllers with high frequency robust- ness [ J ].Journal of Process Control, 2006,16: 91-96.
  • 7PIAZZI A, VISIOLI A. A noncausal approach for PID control [ J ]. Journal of Process Control, 2006,16 : 831 - 843.
  • 8王万召,蒋建飞.流化床锅炉燃烧系统模糊-BP神经网络PID解耦控制[J].仪表技术与传感器,2009(4):97-99. 被引量:3
  • 9陈曦,柳国辉,杨振兴,马江华.基于LabVIEW的过程控制系统仿真[J].河北工业大学学报,2009,38(5):77-80. 被引量:7
  • 10匡芬芳.基于LabVIEW的液位神经网络PID控制系统[J].微计算机信息,2010,26(19):60-62. 被引量:5

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