Dissertation > Excellent graduate degree dissertation topics show

BLDCM LabVIEW-based Intelligent Control

Author: JinLiNa
Tutor: WangLin;WangDan
School: Dalian Maritime University
Course: Proceedings of the
Keywords: Brushless DC motor Adaptive neuro-fuzzy control LabVIEW
CLC: TM33
Type: Master's thesis
Year: 2010
Downloads: 374
Quote: 2
Read: Download Dissertation

Abstract


Brushless DC motor ( BLDCM ) has the output torque and speed performance, reliable operation , has replaced the marine electric propulsion DC motor speed control system . In order to improve the the marine electric propulsion motor antidisarrangement performance , the brushless DC motor as the research object , main research brushless DC motor speed control , and artificial intelligence control method and the traditional control strategy , the fuzzy neural network control algorithm is applied brushless DC motor control system . On the basis of the analysis of the brushless DC motor mathematical model created in MATLAB / Simulink simulation environment control system simulation model . Based on fuzzy self-tuning PID controller design adaptive neuro-fuzzy ( ANFIS ) PID controller , focuses on the structure of fuzzy neural network and fuzzy neural network control technology , the control strategy as the core two-dimensional fuzzy neural network controller , a collection of the characteristics of fuzzy control and neural network , fuzzy reasoning and self- learning ability . Simulation results show that the fuzzy neural network algorithm can achieve satisfactory dynamic and static performance , strong robustness and adaptability . In this paper, NI LabVIEW software platform to build intelligent control system for a brushless DC motor . Use the FIS editor with Simulink in MATLAB combination method to construct fuzzy inference structure and implemented by MATLAB Script node LabVIEW and MATLAB mixed programming , design a controller with fuzzy self-tuning PID parameters and adaptive neuro-fuzzy PID parameters this controller is used for the actual control system . Application data acquisition card ( DAQ ) speed signal acquisition and control signal output , so as to constitute a closed-loop control . The hardware part of the specific integrated chip to complete the design of the main circuit .

Related Dissertations

  1. Image Analysis System of Metal Transfer of Gas Metal Arc Welding,TG444
  2. Research on Nozzle Plume Temperature Distribution Measurement System,V434
  3. The Electrostatic Dust Removal System Based on Microcontroller and LabVIEW,X701.2
  4. Oil -in-water type emulsified oil water hammer harmonic LabVIEW Simulation and Experimental Research demulsification,X703
  5. LabVIEW-based virtual oscilloscope design and remote control,TM935.3
  6. Axial fan blade vibration non-contact measurement,TD441.2
  7. Exploration and Analysis of Electronic Detection of Raw Silk’s Flatness,TS147
  8. Control System Research for a Nano-Material Mixer,TP273.5
  9. Simulation System for Aluminum Foil Cold Mill and Research of Tension Control,TG334.9
  10. Research and Application of Remote Virtual Instrument Experimental Teaching System Based on LabVIEW,TP391.6
  11. Multi-channel Real-time Online Monitoring System for Polymerizers,TP274
  12. Research on Thin-Film Hysteresis Loop Measurement System Based on Extraordinary Hall Effect,O484.43
  13. The Research and Design of a Fire Detection System Based on Combustion Audio Recognition,X924.4
  14. Research of Control Strategy Based on the Electro-hydraulic Proportional Position Control System,TH137.52
  15. Development of Electric Actuator Servo System,TM921.541
  16. Development and Experimental Study about Virtual Instruments of Vibration Test and Analysis System and Combustion Analyzer,TK407
  17. The R&D of Drive System and Brushless DC Motor for Industrial Fan,TM33
  18. Based on TMS320F28335 brushless DC motor control system research,TM33
  19. Observer-based brushless DC motor control method,TM33
  20. A brushless DC motor driver of the modulation method and,TM33
  21. Based on closed-loop control design electrical nerve stimulation,R742.1

CLC: > Industrial Technology > Electrotechnical > Motor > DC motor
© 2012 www.DissertationTopic.Net  Mobile