基于改进分数阶模型参考自适应系统的PMLSM-DFC

PMLSMDFC BASED ON IMPROVED FRACTIONAL ORDER MODEL REFERENCE ADAPTIVE SYSTEM

  • 摘要: 针对分数阶模型参考自适应系统(Fractional Order Model Reference Adaptive System,FOMRAS)在永磁直线同步电机(Permanent Magnet Linear Synchronous Motor, PMLSM)直接推力控制(Direct Force Control,DFC)下转速估计误差大、响应速度慢、抗干扰能力差等现象,提出一种改进FOMRAS算法,即速度辨识中使用改进的分数阶自适应律,对转速进行跟踪,减小推力响应的抖动,确保估计值快速逼近真实值。运用于DFC中,实现无速度传感器控制。仿真结果表明:采取改进FOMRAS的无速度传感器PMLSMDFC,抗扰动能力明显加强,具有良好的动静态能力,确保了系统稳定性。

     

    Abstract: The fractional order model reference adaptive system (FOMRAS) is under direct force control (DFC) of permanent magnet linear synchronous motor (PMLSM), which has large speed estimation error, slow response speed and poor anti-interference capability. To solve this problem, an improved FOMRAS algorithm is proposed, which adopts an improved fractional order adaptive law to track the speed in speed identification. It reduced the jitter of thrust response and ensured that the estimated value approached the real value quickly. It was applied to DFC, and the speed sensor-less control was realized. The simulation results show that the speed sensor-less PMLSM-DFC with improved FOMRAS has obviously enhanced anti-disturbance ability, good dynamic and static ability and ensured the stability of the system.

     

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