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Research of Liquid Level Monitoring System Based on PC-Based
Author: ChenZuo
Tutor: ZhengShiFu
School: Dalian Jiaotong University
Course: Control Theory and Control Engineering
Keywords: TwinCat platform Level control system Hybrid control algorithm
CLC: TP277
Type: Master's thesis
Year: 2008
Downloads: 70
Quote: 3
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Abstract
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This article describes an intelligent control system based on PC-Based tank , water tank liquid level control chemical production to increase speed . In this paper, the level control system as the research object . Conventional PID controller its simple algorithm robustness is widely used in industrial process control , but there is a certain lack of limits , it can not be made ??dynamically adjusted according to the controlled object parameter changes . Level control system , often there is a big lag , time-varying , non-linear aspects of this system , the traditional PID control can not meet the control requirements , and so will not require a precise mathematical model of fuzzy control technology and conventional PID control technology combined with the use of their respective advantages , tank level control , and has some practical value . In this thesis , the PID controller , fuzzy controller and self-learning fuzzy controller principle , characteristics , constitute [ 1 ] , the research and summarize the pros and cons to design a hybrid intelligent control methods to verify the validity of experimental , and the experimental results were analyzed and summarized . The control system is mainly the use of the Beckhoff Bus Terminal system to complete the lower machine and the host machine 's data transmission ; using a self- learning fuzzy control and PI control combined intelligent control algorithm , C language complete control algorithm program acquisition next crew of the real-time data in the upper display line monitoring , and real-time modification of fuzzy control rules and algorithm switching PI control , tank level control . TwinCAT development tools for industrial control software with VC connection control program in the preparation process , the use of hybrid programming interface program design , hybrid intelligent control algorithm and monitoring interface system program . Finally, the PID controller , fuzzy controller , hybrid intelligent controller compares the tank level control effect . The experimental results show that the hybrid intelligent control algorithm has good speed and a certain steady-state performance . Prove better control of the design , and to prove the effectiveness of the algorithm .
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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Monitoring, alarm,fault diagnosis system
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