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Fuzzy Sliding Mode Control of Magnetic Levitation System of Controllable Excitation Linear Synchronous Motor

机译:可控激发线性同步电动机磁悬浮系统的模糊滑模控制

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摘要

In order to improve the ability of magnetic levitation feed platform of controllable excitation linear synchronous motor (CELSM) to resist external disturbance, a sliding mode control method based on fuzzy switching gain adjustment is proposed. According to the operation mechanism of CELSM, the voltage equation, flux equation, magnetic levitation force equation, and state equation of CELSM are established. The sliding mode surface is designed, and the integral term is introduced to eliminate the steady-state error of the system. The reaching law is designed to reduce chattering by using the saturation function instead of the sign function. Fuzzy logic reasoning is used to estiomate the switching gain, to cancel the unknown disturbance, and further weaken the chattering of the system. The sliding mode controller based on fuzzy switching gain adjustment is designed, and the system is simulated in MATLAB environment. The simulation results show that the fuzzy sliding mode control algorithm can improve the dynamic performance of the system and weaken chattering. The feasibility of this algorithm is proved. The experimental platform of CELSM magnetic levitation system is built to carry out partial experimental research on the magnetic levitation control system.
机译:为了提高可控激发线性同步电动机(CELSM)抵抗外部干扰的磁悬浮饲料平台的能力,提出了一种基于模糊开关增益调整的滑动模式控制方法。根据CELSM的操作机制,建立了电压方程,助焊通量方程,磁悬浮力方程和CELSM的状态等式。设计了滑动模式表面,并引入积分术语以消除系统的稳态误差。到达法旨在通过使用饱和函数而不是符号功能来减少抖动。模糊逻辑推理用于刺激切换增益,取消未知干扰,进一步削弱了系统的抖动。设计了基于模糊开关增益调整的滑模控制器,并在MATLAB环境中模拟系统。仿真结果表明,模糊滑模控制算法可以提高系统的动态性能,削弱抖动。证明了该算法的可行性。建立了CELSM磁悬浮系统的实验平台,对磁悬浮控制系统进行了部分实验研究。

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