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文章针对传统定磁链双闭环DTC调速系统稳态时定子电流幅值较大、电机铜耗增加的问题,提出了变磁链给定的解决方案,建立了变磁链三闭环DTC调速系统。仿真结果证明,此调速系统动、静态性能良好,既能充分抑制SRM的转矩脉动,又能在稳态时降低定子电流的幅值,解决了电机高速时铜耗较大的问题。另外,针对变磁链三闭环DTC调速系统控制参数复杂,实时性要求高的特点,文章将BP神经网络PID控制器与传统PI控制器复合,构成了BP-PI控制器。仿真表明,BP-PI控制器有效克服了单一神经网络DTC控制器存在的缺陷,动、静态性能明显优于传统PI调节器,显著提高了调速系统的自适应性和鲁棒性。
Aiming at the problem of large stator current amplitude and increased copper loss of motor in steady-state of double stator closed-loop DTC speed regulation system, a solution of variable flux linkage is proposed. system. The simulation results show that the speed regulation system has good dynamic and static performance, which can not only sufficiently suppress the torque ripple of the SRM, but also reduce the stator current amplitude in steady state and solve the problem of large copper loss at high speed of the motor. In addition, aiming at the characteristics of complex control parameters and high real-time requirements of variable closed-loop DTC speed control system, BP neural network PID controller and traditional PI controller are combined to form BP-PI controller. The simulation results show that the BP-PI controller overcomes the defects of the single neural network DTC controller effectively. The dynamic and static performance is obviously better than the traditional PI regulator, which significantly improves the adaptability and robustness of the speed governing system.