Dissertation > Excellent graduate degree dissertation topics show

Main Stream Temperature Control for Ultra-supercritical Units Based on Genetic Algorithm

Author: LiuLin
Tutor: GanDeQiang；LinGang
School: Zhejiang University
Course: Electrical Engineering
Keywords: Ultra-Supercritical Main Steam Genetic Algorithm(GA) Model Identification Parameter Optimization
CLC: TP273
Type: Master's thesis
Year: 2011
Downloads: 63
Quote: 1
Read: Download Dissertation

Abstract


Ultra-Supercritical main steam temperature is a control object with large inertia, large delay, nonlinear, time-variability and other complex features. In order to make main steam temperature control achieve satisfactory results, we design main steam temperature cascade control system structure, the main loop using PID control combined with Smith predictor, the vice loop using PD control. Then we identify the model of main steam temperature with the genetic algorithm, and adjust the parameters of the Smith predictor according to the estimated model, while optimizing the PID parameters with the genetic algorithm. Thus we achieve the adaptive control of main steam temperature.When identifying the object model and optimizing the PID parameters with the genetic algorithm, we first establish the objective functions and constraints, then design a computing process for genetic algorithm. For the defects that the convergence precision of the traditional genetic algorithm is low and the computation is slow, we improve the method of the population initialization, selection operator, crossover operator and mutation operator. Finally, choosing a first order inertia model with the pure delay as an example, we use the improved genetic algorithm achieve the main steam temperature control object model identification, and use the MATLAB simulation get the model. Then based on the estimated model, we use the improved genetic algorithm achieve the controller parameter optimization. Finally we use the MATLAB simulation get the controller parameters. Simulation results prove the method used in this paper.

Related Dissertations

  1. Temperature Drift Modeling and Compensation of Fiber-Optic Gyroscopes,V241.5
  2. Hot air drying characteristics of lettuce osmotic dehydration mass transfer kinetics and permeability,TS255.52
  3. Phased array ultrasonic testing optimization of key parameters,TP274.53
  4. Intelligent Support Vector Machine Approach and Its Application on Melt Index Prediction in Propylene Polymerization,TQ325.14
  5. Predicted by the model based on multi- boiler main steam temperature control,TP273
  6. Neural Network Based on Particle Swarm Optimization color injection molding process,TQ320.662
  7. Steady-state Thermal Analysis of Gear Transmission System for Supercritical/Ultra-supercritical Thermal Power Units,TH132.41
  8. Parameter Optimization of Municipal Sewage Sludge Composting for Nutritional Soil,X703
  9. The Parameter Optimization of Milling Cutter and CAD for Machining Titanium Alloy,TG714
  10. Optimize Control Policy and Actualize on Oordination Control System of GUOHUA DINGZHOU Power Plant,TM621.6
  11. Design, Modeling and Control Method Study of Precision Grinding Machine Control System,TM921.5
  12. The Studies on Some Improvements of the GA and Their Applications in SVM,TP18
  13. The Research of Shuffled Frog Leaping Algorithm Based on Local Orthogonal Crossover Operator and Its Application,S126
  14. InAs / Ga (In) Sb superlattice long / far -band infrared detector research,TN304.055
  15. Comb -type cotton picker seed cleaning device Theoretical and Experimental Study,S225.91
  16. Theoretical Studies and Experimental Analysis on High-rise Isolated Building Structure,TU973.31
  17. New outrigger structural system damping energy dissipation properties of,TU352.1
  18. Study on Optimization of Air Vessel Parameters in Long-Distance Water Supply Pipelines,TU991.39
  19. Analysis and Optimization of Contrary Angle Clamping Unit for Injection Molding Machine,TQ320.52
  20. Simulation Study and Parameter Optimization for Particle Impacting Rock,TE242
  21. The Optimize Parameter Design for EBZ 160 Roadheader Expansion Internal Cutting Arm,TD421.5

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