基于模糊自適應(yīng)PID控制的永磁同步電機調(diào)速系統(tǒng)研究
[Abstract]:In this paper, permanent magnet synchronous motor is used as the control object to study its speed performance. Considering that PMSM has the characteristics of nonlinear, strong coupling, multivariable and so on, the traditional controller design can not meet the higher performance requirements of the AC speed control system. An improved fuzzy technique based on the traditional PID control is proposed in this paper. The technology can improve the traditional PID control quality, enhance the flexibility and adaptability of the system, and effectively improve the performance of the PMSM AC speed control system. The main research work and results of this paper are as follows:
(1) the mathematical model of the permanent magnet synchronous motor in the three-phase stationary coordinate system and the two phase rotating coordinate system is established by using the coordinate transformation. The vector control strategy of id0 and the double closed loop control scheme of the current loop and the speed ring are adopted, and the voltage space vector pulse width modulation (SVPWM) is used as the tuning algorithm. On this basis, the vector control principle, the original SVPWM The design and implementation of the control algorithm and its control algorithm are analyzed in detail.
(2) in order to effectively improve the performance of PID speed control system of permanent magnet synchronous motor, a design method of fuzzy adaptive speed controller is studied. The simulation model of fuzzy logic speed control system of permanent magnet synchronous motor based on SVPWM is established by using MATLAB/simulink software, and PID control and fuzzy adaptive PID are used for the current loop and speed loop respectively. The PMSM system is simulated, and the simulation results verify the correctness of the model and the effectiveness of the control algorithm.
(3) select the XE164 chip and power drive module 6ED003L06F of German Infineon company, and design a perfect peripheral circuit to complete the hardware design of the system. The system software design adopts the C language and the modularized program thought. And the software and hardware test platform is built. The experimental results show that the fuzzy adaptive PID control algorithm can make the speed regulation system more effective. The system has good dynamic and static characteristics.
【學(xué)位授予單位】:長安大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TP273;TM341
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