Dissertation > Excellent graduate degree dissertation topics show

Research of IMC Algorithm Applied in pH Value Control System for Flue Gas Resulfurization of Coal-Fired Boiler

Author: LiuTianYuan
Tutor: ZhangChangSheng
School: Kunming University of Science and Technology
Course: Control Theory and Control Engineering
Keywords: Flue gas desulfurization pH control Radial basis function neural network Internal Model Control
CLC: TP273
Type: Master's thesis
Year: 2009
Downloads: 53
Quote: 0
Read: Download Dissertation

Abstract


China 's fuel structure , coal , coal accounted for 75 % of total energy production and consumption . SO2 from coal combustion is the main characteristic of China 's air pollution , which most harmful dust and acid rain . Caused by SO2 emissions of acid rain pollution hazard area reaches more than 30% of the land area , and the degree of pollution intensifies , a direct result of the national economic losses amounting to hundreds of billions . The SO2 pollution has become an important factor restricting China's economic and social sustainable development , to control the pollution is imperative . Coal-fired boiler flue gas desulfurization process , the pH value of the control process in the absorber is a typical non-linear and lags . Radial basis function neural network with a single hidden layer of three-layer feedforward network , it simulates the human brain neural network structure of the receiver domain local adjustments and cover each other , to approximate any continuous nonlinear function with arbitrary precision ability , adaptive and self- learning ability and complex uncertain problems . The internal model control is a very practical method of control , its main feature is simple structure , requiring a lower level of accuracy of the model , and the robustness and stability of the system has been greatly improved , and can eliminate the unmeasured disturbance on the impact of the system . In this paper, radial basis function neural network internal model control algorithm to study the desulfurization of the pH value and process control , and explore a method suitable for the application of wet flue gas desulfurization . Through in-depth study of the pH of the absorber desulfurization process , analyze the characteristics of the absorber slurry pH . Draw the corresponding mathematical model using least squares identification method based on Hammerstein model . Use of the MATLAB simulation methods designed controller , RBF neural network applied to the internal model control , an advanced control method by radial basis function neural network to identify forward model and inverse model of the internal model control , making the internal model control has better adaptive capacity , increase the scope of the internal model control applications . By system simulation results showed that the desulfurization pH values ??and systems nonlinear internal model control algorithm based on RBF neural network , the pure delay system has good control performance , tracking ability , adaptive ability and robustness.

Related Dissertations

  1. Numerical Simulation of Atomization and Evaporation Processes in Multi-Spouted FGD Reactor,X701.3
  2. Design of Gyro Stabilized Pod Control System,TP273
  3. Study on the Retrofit and Optimization of Operation of GGH of WFGD in Zhujiang Power Plant,X701.3
  4. Research on pH Value of the Control Technology for Acid-contained Wastewater Integrated Treatment System in Ningxia Hengli,TP273
  5. The Design for Auto-loading for Raw Material of Chinese Medical, Recyclure and Treatment of Residue,X787
  6. Application and Performance of WFGD System of Pannan Power Plant,X701.3
  7. 35T / h boiler flue gas treatment plan selection and monitoring system transformation,X701.3
  8. Design and Simulation of Flue Gas Desulphurization Pump,X701.3
  9. Study on Absorption of Sulfur Dioxide and Carbon Dioxide in Aqueous Poly (Ethylene Glycol) Solutions,X701
  10. Image Recognition Based on Quantum Evolution RBF Network,TP391.41
  11. Study of La-Y-Co Composite Oxides for Reduction of Sulfur Dioxide by Monoxide Carbon to Elemental Sulfur in the Presence of Oxygen,X701.3
  12. Soft-sensor Method of Circulating Ash Utilization in CFB-FGD Process Based on RBF Neural Network,X701.3
  13. Process Optimization Based on Different SO2 Emissions Management Systems,X701.3
  14. Flue Gas Treatment Technology Application,X701.2
  15. Research on CFB-FGD System Modeling Based on T-S Fuzzy Model,X701.3
  16. Theoretical Study for Sulfur Dioxide Absorption on Limestone Wet Flue Gas Desulfurization,X701.3
  17. The Research on Pmsm Dynamic Decoupling Control Technique,TM341
  18. The Post-project Evaluation of Matou Power Generation Co.Ltd. 200MW Unit Desulfurization,F224
  19. Research and Development of the pH Control System about Clarification Workshop Section Based on IEC 61131-3 Standard,TP273
  20. The Research of the Analog Circuit Fault Diagnosis Method Based on Wavelet Entropy Transform and Adaptive Quantum Particle Swarm Optimization Algorithm,TN710

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