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Research on Contorl System of Doubly Salient Permanent Magnet Motor Used for Electric Vehicle

Author: XiongChunLei
Tutor: ChenShiYuan
School: South China University of Technology
Course: Motor and electrical
Keywords: Doubly Salient Permanent Motor Finite Element Analysis The fuzzy PI self - tuning control Electronic differential
CLC: TM351
Type: Master's thesis
Year: 2010
Downloads: 166
Quote: 0
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Abstract


In this paper, 12 / 8 pole car Doubly Salient Permanent hub motor with external rotor as an object of study and control . On the basis of relevant literature , to understand the development of the motor car . Compare the various characteristics of the motor vehicle , and further study of the performance of doubly salient motor and its control method to achieve . Motor magnetic field maps 25kw double salient permanent magnet motor structure size first design , finite element analysis and electromagnetic calculations and the motor , get a different position and flux density distribution of the motor flux and inductance static characteristics . On this basis , to which the mathematical model of the motor and operating principles of the analysis , and design a conduction timing of the motor windings of each phase , and the motor control method . This paper analyzes the PID controller to control system stability , summed up the advantages and disadvantages of the PID control . Doubly salient permanent magnet motor has good dynamic speed performance , speed and current dual closed-loop PI control . MATLAB / Simulink platform to build the body of the motor and control system of the functional modules , and control system simulation and analysis . Fluctuations in motor speed and torque ripple is larger than the PI parameters fixed PI control process . To address this issue , the use of the speed loop fuzzy PI self-tuning control method . Build a PI controller parameters Kp and Ki incremental output fuzzy controller model , the PI parameters online self-tuning , combined with the control module to simulate the entire control system as an input to the speed error e and error change rate ec and the simulation results of the two methods of comparison and analysis. Finally, for differential wheel motor drive vehicles , designed the BP neural network - based electronic differential scheme , vehicle drive motor is controlled by the speed loop PI self- tuning fuzzy control in this scenario , and to build the entire system the model for the simulation analysis.

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CLC: > Industrial Technology > Electrotechnical > Motor > A special motor > Permanent magnet motor
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