Dissertation > Excellent graduate degree dissertation topics show

Research on Modeling Method and Control Strategy for Switched Reluctance Motor

Author: LiTao
Tutor: LiJun
School: Lanzhou Jiaotong University
Course: Detection Technology and Automation
Keywords: SRM Modeling SVM Hybrid control DTC
CLC: TM352
Type: Master's thesis
Year: 2012
Downloads: 213
Quote: 0
Read: Download Dissertation

Abstract


As a new motor drive system, switched reluctance motor (SRM) drive system has been extensively used from the1980s. Both the characteristics and control mode of SRM are significantly different from the traditional motor by virtue of its structure and dynamically characteristics. Building the accurately model of SRM is favourable to the optimization design, the dynamic performance analysis as well as the high performance control of the motor.Both the modeling methods and the control strategies are studied in this thesis, the main contents are as follows.Firstly, the mathematical model and basic operational principle of SRM are analysed in this thesis, at the same time, the support vector machine (SVM) regression theory including the ε-SVM, the υ-SVM and the least square support vector machine (LSSVM) is also studied. Moreover, two optimization methods of the kernel function’s parameters are given.Secondly, the nonlinear characteristics of SRM were studied, according to the observed data of the SRM phasecurrent, rotor angle and magnetic flux, The static model of SRM is built based on SVM method including the ε-SVM, the u-SVM and the LSSVM with different kernel functions. Aiming at the static nonlinear characteristics of SRM, compared to the neural network methods, the experimental results show that SVM and LSSVM methods give well performance in modeling aspect. In addition, the corresponding LSSVM will give the best performance once the parameters of LSSVM with RBF kernel function are further selected by ant colony optimization algorithm.Finally, for the speed control of SRM, taking a three-phase6/4SRM as an example, a neural network PID hybrid control strategy and its realization method are presented, the experimental results verify the feasibility of this proposed method. Simultaneously, for the torque control of SRM, in order to effectively restrain the torque ripple in operation process, the direct torque control (DTC) method of SRM has been studied on the basis of the DTC of the asynclironous motor. The performance of the above control strategies are further analysed from three aspects, namely, the torque ripple, speed regulation as well as the antijamming capability. Compared to neural network PID hybrid control method, experimental result indicate that the DTC method can well adjust the torque because of the torque feedback is introduced to DTC. Moreover, it can solve the problem of the torque ripple effectively.

Related Dissertations

  1. The Realization of Coal Liquefaction in the Continum Model System and the Experimental Research of Coal Liquefaction,TQ529.1
  2. Soft Sensor of Naphtha Dry Point on Support Vector Machines Regression,TE622.1
  3. Research on HID Lamp Rectifying Effect,TM923.32
  4. Service Model Driven Architecture (SMDA) Oriented Modeling Techniques and Tool Implemention,TP311.52
  5. Design and Simulation of Flight Management Computer System CDU Unit in Flight Simulation,TP391.9
  6. Modeling Internet Link Delay Based on Measurement,TP393.4
  7. Modeling Analysis and Slip Estimation for Lunar Rovers,TP242
  8. Research on Focused Crawler Based on SVM Classification Algorithm,TP391.3
  9. Moving target trajectory analysis based Intelligent Traffic Monitoring System,TP277
  10. Airborne radar antenna pedestal rapid design systems research and development,TN959.73
  11. The Study of the Lighting Art for Interior Decoration,TU238.2
  12. Direct Torque Control of Winding Induction Motor,TM343
  13. Study of the Friction and Adhesion Mechanism of Animal Foot-Pad Surface Morphology,TH117.1
  14. Study of 3D Stratum Modelling and Visualization Method Based on MPI,TP391.41
  15. Research on Program System for the Longitudinal Strength of Deck Cargo Ship Considering Deflection Based on NAPA,U661.43
  16. Research on Characteristics of Adolescent Risk Behavior and Exploration on Protection/Risk Model,D669.5
  17. Research on Modeling and Application for Management Mechanism of Complex manufacturing Supply Chain,F224
  18. Classification Modeling of Pellet Quality Based on LSSVM,TF046.6
  19. Research on Mechanism Analysis and Modeling Simulation of Horizontal Well Tractor,P631.83
  20. Modeling and Optimizing for Leaching Process of Hydrometallurgy,TF803.2
  21. Modeling and Stability Analysis of Networked Control System with Time-delay,TP273

CLC: > Industrial Technology > Electrotechnical > Motor > A special motor > Reluctance motor
© 2012 www.DissertationTopic.Net  Mobile