With the wide application of permanent magnet synchronous motors in many fields, the research on permanent magnet synchronous motors has become an inevitable development trend with practical significance and value. This paper uses the TMS320F240 digital signal processor dedicated to motor control of TI as the core, develops the software of the fully digital permanent magnet synchronous motor vector control speed regulation system, and conducts a machine test on the improved Tsinghua motor control test platform. The results verify the feasibility of the system design scheme. This paper first deeply studies the vector control theory of permanent magnet synchronous motors, establishes a mathematical model of permanent magnet synchronous motors, and discusses the vector control speed regulation scheme of permanent magnet synchronous motors on this basis; then, based on the Tsinghua motor control test platform, the hardware structure of the control system is introduced, which mainly discusses the design and debugging of various parts of the control circuit and peripheral auxiliary circuits. Based on the hardware, the software is programmed in assembly language to realize the speed and current dual closed-loop vector control, and the system main program and PWM underflow interrupt handler flow chart are given. The main control strategies of permanent magnet synchronous motor vector control, such as rotor phase initialization, current sampling, speed position sampling, vector coordinate transformation, sinθ, cosθ value generation, PI regulation, space voltage vector (SVPWM) module, etc., are all completed in the PWM underflow interrupt service subroutine. In order to achieve numerical unity, the parameters used in the software are calibrated. Finally, based on the hardware platform, the software is debugged with the machine. The test shows that the motor can respond quickly and track the given speed, thus proving the correctness of the entire system design. In addition, this paper also establishes a simulation model of a permanent magnet synchronous motor using a fuzzy neural network controller based on MATLAB/SIMULINK. The simulation results show that the control system has good position response and strong anti-interference ability. At the end of the paper, a summary of the work of the whole paper is made.
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