Dissertation > Excellent graduate degree dissertation topics show

Design and Research for Brushless DC Motor Fuzzy Controller Based on FPGA

Author: XuLiJuan
Tutor: WangTingYou
School: Kunming University of Science and Technology
Course: Mechanical and Electronic Engineering
Keywords: Brushless DC motors fuzzy control PID control SG FPGA
CLC: TM33
Type: Master's thesis
Year: 2010
Downloads: 125
Quote: 0
Read: Download Dissertation

Abstract


The brushless DC motor uses electronic commutation instead of mechanical one, to overcome a range of issues of the traditional DC motor caused by the brush friction. Furthermore, with many advantages such as good speed regulation, little volume and high efficiency, it is widely used in national various areas of economic production.In the control strategy of brushless DC motor, the most characteristic of the fuzzy control which is based on intelligent control is that it doesn’t depend on the object model, but utilize the rules established by fuzzy control to make reasoning in order to get proper control variable. However, the integrating element is not involved in the single fuzzy control method, the steady-state error is difficult to eliminate. Therefore, this system compounds the traditional PID control and the fuzzy control, expecting to achieve better dynamic and static performance. Large amounts of data need to be dealt with for the realization of the digital fuzzy PID algorithm. The application of FPGA is providing a hardware foundation for the realization of the algorithm, which makes the fuzzy PID control of the brushless DC motor possible.According to a series of theoretical analysis and hardware requirements, fuzzy adaptive PID controller is designed, which uses linear membership function and simplifies fuzzy reasoning process, thus reducing the complex degree of hardware implementation. The brushless DC motor control system is designed by hybrid modeling in SG/Simulink. The body of brushless DC motor is established in MATLAB/Simulink, and control module achieved through FPGA is completed by SG. Uses can plan system and hardware in the graphical environment, during the seamless integration between the SG and Simulink by the Gateway module of SG. Based on the advantages of computer simulation, the period of control system design and finalization is shortened.The validity of the fuzzy PID algorithm has been testified by the simulation results. In the end, opinions on the existing problem of fuzzy PID control of brushless DC motor and further studies are put forward.

Related Dissertations

  1. Research on Electromagnetic Acoustic Transducer Detection System Based on FPGA,TH878.2
  2. Research of Image Guided Technology for Cable Tunnel Patrol Vehicle,U469.6
  3. Study on Drive and Control System of Five-Phase PMSM Based on FPGA,TM341
  4. Development of LXI Arbitrary Waveform Generator,TM935
  5. Design of Digital Predistorter for RF Power Amplifier Based on FPGA,TN722.75
  6. Synchronization and Channel Estimation Algorithm in Bursted OFDM System and Its Implementation on FPGA,TN919.3
  7. Performance Analysis of Anti-Multipath Capability in DSSS System and Study on the Compensation Methods,TN914.42
  8. Optimizing and Realising Research on Vedio Compression in TV Guidance System,TN919.81
  9. Research and Hardware Simulation of Multiuser Spread Spectrum Code Acquisition Based on FPGA,TN914.42
  10. Research on Basic Algorithms of Digital Image Processing and Implementation with FPGA,TP391.41
  11. Research of High Speed Image Pre-processing System Based on FPGA,TP391.41
  12. The Application of Fuzzy Control and Neural Network in Planar Double Inverted Pendulum,TP273.4
  13. Design of High-Speed Digital Image Acquisition and Interface Based on FPGA,TP274.2
  14. Development of Inductance Sensor Data Acquisition System Based on FPGA,TP274.2
  15. Research on Ducted Fan Unmanned Vehicle Autonomous Modeling and Control Strategies,V249.122
  16. Development of Serial Bus Analyzer Based on Nios,TP274
  17. Research on the Control and Remedy of Nanopositioning Stage Drived by Piezo Material Lead Zirconate Titanate,TP273
  18. Development of PMC High-speed Data Transmission Board Design Based on FPGA-RocketIO_X,TP274.2
  19. Development of Pxibus High Performance Digital I/O Module,TP274
  20. Development of LXI Counter,TP274
  21. Design the Control System of Ocean Wave’s Simulation Table Based on Theory of Fuzzy Turning PID,TP273.4

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