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Research of Six-Phase PMSM Vector Control System

Author: WangYingGuang
Tutor: LiYan
School: Shenyang University of Technology
Course: Power Electronics and Power Drives
Keywords: six-phase PMSM vector control DSP fuzzy control neural network
CLC: TM341
Type: Master's thesis
Year: 2009
Downloads: 325
Quote: 2
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Abstract


Permanent-magnet synchronous motor (PMSM) has many prominent characteristics such as high power density, high efficiency and so on. PMSM is broadly applied in agriculture, Aeronautics and Astronautics, national defence. On this basis multi-phase permanent magnet motor is developed, In addition to the above advantages multi-phase PMSM Also has the advantages of high reliability, it is becoming one of the emphases in electric drive fields and its controlled means is also attentive focus. This paper is about the design and the improvement of vector control system of multi-phase permanent magnet synchronous motor, the main research results are shown as follows:Firstly, set up a mathematical model about vector control system of 30°double-Y-shift six-phase permanent magnet synchronous motor through the coordinate transformation. i_d=0 is the control strategy and build the simulation system in Matlab/Simulink environment, the simulation results show the effectiveness.Secondly, develop a control circuit which core is DSP chip--TMS320LF2407 and SVPWM is the control mode. In this paper, the design of hardware system is detailed description and the related experiment is conducted together with good control effect.Thirdly, in connection with the drift problem of Electrical parameters, Propose a combination vector control methods of fuzzy control and traditional PID control. At the established six-phase systems, simulation research is carried out and the controlled effect is more ideal. In this paper, permanent magnet synchronous motor speed control system adopts the BP neural network combined with PID control, the effect of velocity modulation is better. The two intelligent control systems have better performance over traditional PID control. By applying the intelligent control methods, the system has quick response, no over shoot and good dynamic and static behaviors as well as robustness.

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CLC: > Industrial Technology > Electrotechnical > Motor > AC motor > Synchronous motor
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