Dissertation > Excellent graduate degree dissertation topics show

Study of Advanced Control on Polymerization Temperature of Chlorinated Polyethylene

Author: JiangHaiBo
Tutor: ZhouYiLin
School: Qingdao University of Science and Technology
Course: Detection Technology and Automation
Keywords: Chlorinated Polyethylene Internal Model PID control Neural Networks Kingview Dynamic Data Exchange
CLC: TP273
Type: Master's thesis
Year: 2008
Downloads: 161
Quote: 0
Read: Download Dissertation

Abstract


In recent years, with the vigorous development of the petrochemical industry , a variety of petrochemical products in many areas has been widely used. Wherein , chlorinated polyethylene (CPE) , as one of the impact modifiers in polyvinyl chloride (PVC) , because of simple raw material , low production cost , and have an important role in the plastic and rubber , so the demand for international and domestic the amount was a rising trend . The CPE's production process is carried out in a batch reactor chloride polymerization reactor temperature is an important parameter to affect the reaction , is directly related to the quality of the product . The polymerization reaction is highly exothermic , the temperature has a big lag , when degeneration and non-linear characteristics of conventional PID control can not meet the control requirements , and to this end we propose the use of advanced control algorithms to give an effective transformation of try . CPE production process of the papers to a chemical plant in Qingdao , in-depth analysis of the characteristics of the the CPE Chlorinated polymerization reaction temperature control difficult , advanced internal model PID control method based on neural network is proposed . Through self- learning neural network to adjust degeneration has a strong adaptive ability of the nonlinear and time , internal model control with simple parameter adjustment , track performance and good features , IMC-PID control method is designed in the framework of the internal model control PID controller system lag better control effect and disturbance . Neural network internal model PID can give full play to the advantages of both , CPE polymerization temperature accuracy and smooth control . The experimental results show that the neural network model PID control with good self- adaptability, robustness and anti-interference ability , can effectively improve the stability of the control system . To be able to image , intuitive display and control CPE polymerization production process , the paper design based monitoring software configuration king . Kingview excellent real-time monitoring and dynamic display function , Matlab has a powerful mathematical calculation ability , can achieve the complexity of advanced control algorithms , able to achieve the configuration king and Matlab data communications through the use of dynamic data exchange technology ( DDE ) to provide for the application of advanced control method in industrial practice can be an effective way to learn .

Related Dissertations

  1. High Speed Frequency Measurment and Non-Linearity Correction of Frequency Modulated Capacitive Displacement Sensor,TH822
  2. Research on Anti-periodic Solutions of Delayed Cellular Neural Networks without Assuming Global Lipschitz Conditions,TP183
  3. Designs and Applications of Fuzzy Synthetic Evaluation Models Based on Parallel Algorithms,TP18
  4. Spectrum Variation of Vegetation in Yanzhou Coal Mine Area and Heavy Metal Stress Characteristic,X173
  5. Multi- license plate location method based on CNN's Intelligent Transportation Systems Research,TP391.41
  6. Research on the Models of GPS Height Fitting Based on BP Neural Network and Their Applications,P228.4
  7. Research of QoS Optimization Based on Neural Network Prediction for Ethernet Passive Optical Network,TN929.1
  8. Delay Neutral System Stability Analysis of Neural Networks,O175.13
  9. The Design of Identification System for Power Marketing Services,TP391.41
  10. The Study of Intelligent Intrusion Detection System Based on Neural Network in Linux,TP393.08
  11. RFID Information Sharing in Supply Chain and Business Valuation Research,F224
  12. Consider short-term load forecasting PV,TM715
  13. Scenario-based non- uniformity correction,TN215
  14. Helicopter main gearbox fault diagnosis and failure prediction technology research,V267
  15. Based on the configuration king and Matlab trolley furnace control system design,TP277
  16. Based on neural network decoupling control system resistance furnace,TP183
  17. Based on electrical safety risks KingView Experience Systems Design and Implementation,TP273
  18. Configuration Technology-based Water Pumping Station Monitoring and Management System of the Study Design,TP277
  19. Bridge vehicle loads based on neural network research,U441.2
  20. Dynamic Reliability Evaluation of Existing Prestressed Concrete Bridge Based on Bearing Capacity,U441
  21. The Research of the Application of Neural Network in Short-Time Traffic Flow Forecasting,U491.112

CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Automatic control,automatic control system
© 2012 www.DissertationTopic.Net  Mobile