Dissertation > Excellent graduate degree dissertation topics show

Research into Control Methods of Dyeing Uptake Rate for Batch Dyeing Process Based on Supervisory Control

Author: ZhangYongXing
Tutor: ZhangJianXin
School: Zhejiang University of Technology
Course: Measuring Technology and Instruments
Keywords: Batch dyeing Supervisory control Gray BP neural network model Taguchimethod Fuzzy Control Predictive sliding mode control
CLC: TS193
Type: Master's thesis
Year: 2014
Downloads: 4
Quote: 0
Read: Download Dissertation

Abstract


As an important variety of natural fiber, the development of cotton fiber still exists manyproblems, such as intensive energy consumption, water consumption, wastewater discharge inthe process of reactive dyeing, which is against our basic national policy of energy conservationand emissions reduction. Therefore the factors of the cotton fabric dyeing process and therelationship between the dyeing rate model have been combined. Finally, the dyeing process canbe controlled by model prediction and online feedback technology, which can reduce the costs,improve the production efficiency, conserve energy and reduce emission.In the paper, dyeing rate of batch dyeing process based on supervision and control wasdeveloped, which was based on batch dyeing process control at home and abroad, and which wasconsisted of online and off-line supervisory control. Our goal was to obtain the real-timeparameter values, and the real-time dyeing rate can be received by soft measurement model,which was compared with preinstall dyeing rate. Then error and the error rate can be obtained,which was used as the input of the online monitoring controller. Then online monitoringcontroller can get the desired temperature based on the current conditions. Sliding predictivecontrol algorithm was realized by the online controller, by which the temperature of theexperimental platform can be controlled by adjustment on-off time of the heating rods of thereaction kettle. Then the vat rose (declined) to given temperature according to certain slope.Finally, it came true that the dyeing rate of the dyeing process was accuracy control.The first step is to establish the gray BP neural network model, and design three singlefactor experiments. The relations were developed between temperature, salt concentration andbath ratio and the dyeing rate of the single factor grey model, on which three parameters changedat the same time. The obtained dyeing rate can serve as the teacher signal of training neuralnetworks, and network obtained by training can serve as soft measurement model of the controlsystem. The second step is to design online and offline supervision controller, Fuzzy control algorithm was applied to online monitoring controller, which made the error and the error ratebetween the real-time dyeing rate and the given dyeing rate translate into the desired temperature,which served as the input of sliding predictive controller. Taguchi method was applied to off-linemonitoring controller. The temperature is the largest impact by analysis of the experimental data,so the temperature was selected as the controlling factor. The third step is to design and set upthe experiment platform of the batch dyeing processes, whose function is to verify thecorrectness of our designed supervisory control system.In the thesis the experiment platform of batch dyeing which verified the practical of thecontrol system designed in the paper was designed and developed based on supervisory controlsystem. The dyeing rate of the dyeing process can be controlled, in which the dyeing rate curvecan be tracked and set effectively. As shown in the result, the control method can control thedyeing rate of the batch dyeing process in time, which can prove that the control method ofdyeing rate of the batch dyeing process owns strong robustness, real-time and accuracy.

Related Dissertations

  1. Research of Image Guided Technology for Cable Tunnel Patrol Vehicle,U469.6
  2. The Application of Fuzzy Control and Neural Network in Planar Double Inverted Pendulum,TP273.4
  3. The Grid-Connected Wind-solar Hybrid Generation System and Maximum Power Point Tracking,TM61
  4. Control System of Rotary Drying for Flake Agricultural Materials,S226.6
  5. Design and Research of a Multi-Use End-Effector for Harvesting Robot,S24
  6. The Design of Experimental Device for Mine Motor Soft Starter,TM343.2
  7. Study on Optimization of Urban Traffic Signal Herarchical Control Based on Fuel Cost,U491.51
  8. Saw motor energy-saving controller for tilting sand stone processing DSP-based research and development,TM343
  9. Research on Automatic Control System of Hump Push Peak Speed Based on Fuzzy Neural Network,U284.6
  10. Studies on Wind-induced Dynamic Response and Vibration Control of Guyed Cat-head Transmission Tower-line System,TM753
  11. The Research of Fuzzy Adaptive Soft Start Control on AC Asynchronous Motor,TM343
  12. Control Scheme of Switched Reluctance Generator Used in Wind Power System,TM352
  13. Based on the "Five Zones" Fuzzy Control for Substation Voltage and Reactive Power,TM761.1
  14. The Simulation Perfermence and Analysis for Election Control Hydraulic Litmitedslip Differential of Loader Based on Fuzzy Control,TH243
  15. The Research of Intelligent Car Path Planning Based on the Genetic Algorithm,TP242
  16. Research of Thin Slab Continuous Casting Mould Level Control System in BX Steel Corporation,TF341.6
  17. Design and Research of Drivetrain and Control Strategy for Solar-assisted Electric Vehicle,U469.721
  18. The Research of Induction Motor Direct Torque Control System Base on Intelligent Sliding Mode,TM343
  19. Theory Research and Simulate of Restrain Lathe’s Tool Post Vibration in MR Damper,TB535.1
  20. Research on Clutch Engagement and Simulation of Automotive Mechanical Transmission,U463.211
  21. The Study on Control Strategy of the Electro-hydraulic Servo Running Deviation Control System,TP273

CLC: > Industrial Technology > Light industry,handicrafts > Textile industry,dyeing and finishing industry > Dyeing and finishing industry > Dyeing
© 2012 www.DissertationTopic.Net  Mobile