基于模糊滑模控制的无电流传感器同步磁阻电机速度驱动

Chien-An Chen, H. Chiang, B. Lin
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引用次数: 1

摘要

针对无电流传感器同步磁阻电机驱动系统的鲁棒稳定和抗干扰问题,提出了一种新的模糊滑模速度控制设计方法。该方法克服了传统滑模控制中使用符号函数并假设较大的上边界增益来克服参数变化和干扰的高频抖振和高增益现象的缺点。该方法利用Lyapunov候选函数保证了系统的收敛性,并对系统的速度指令进行了渐近跟踪。设计了参数变化和外界干扰的估计器,实时估计未知的不确定性值。这不同于传统的模糊滑模控制对未知不确定性上边界的估计。该控制方案不采用电流传感器,电流内环采用估计电流。最后,我们用实验结果验证了所提出的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Current sensorless synchronous reluctance motor speed drive with the novel fuzzy sliding mode control
This paper presents a novel fuzzy sliding mode speed control design procedure for robust stabilization and disturbance rejection of the current sensorless synchronous reluctance motor (SynRM) drive system. The novel fuzzy sliding mode control reduces the high frequency chattering and high gain phenomenon drawbacks of conventional sliding mode control which use the sign function and assumed a larger upper boundary gain to overcome the parameter variations and disturbances of SynRM. This method utilizes Lyapunov function candidate to guarantee the convergence and track the speed command of the SynRM system asymptotically. The estimator of parameter variations and external disturbances is designed to estimate the unknown uncertainty values in real-time. This is different from conventional fuzzy sliding mode control to estimate the unknown uncertainty upper boundary. This control scheme doesn't current sensor and the estimation currents are used in current inner loop. Finally, we employ the experimental results to validate the proposed method.
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