Fuzzy Adaptive Back-Stepping Sliding Mode Controller for High-Precision Deflection Control of the Magnetically Suspended Momentum Wheel
Fuzzy Adaptive Back-Stepping Sliding Mode Controller for High-Precision Deflection Control of the Magnetically Suspended Momentum Wheel
复制标题
磁悬浮动量轮高精度偏转控制的模糊自适应反步滑模控制器
DOI：
10.1109/tie.2017.2750617
复制
发表时间：
2018-04
影响因子：
7.7
通讯作者：
Liu Hu
中科院分区：
文献类型：
--
作者：
Yu Yuanjin;Yang Zhaohua;Han Chao;Liu Hu
在磁悬浮动量轮中，可以主动改变转子轴的方向以产生二维扭矩。提出了一种自适应反步滑模控制（SMC）方法来精确控制偏转角。首先，分析磁力轴承产生的磁扭矩。根据磁扭矩，存在耦合扭矩并影响偏转角的跟踪控制。对耦合扭矩扰动进行建模很困难，因为它们与平移、偏转角、电流和其他参数的关系很复杂。通过分析动力学和磁扭矩，跟踪误差动态被建模为具有未建模扰动和参数不确定性的系统。针对该系统设计了滑模面考虑角度误差和跟踪误差积分的后步积分滑模控制器。开关增益应较大，以保证系统稳定性。这会引起严重的颤振，从而影响偏转角的精度。设计了一种输入包括滑动值和偏转角的模糊算法来自适应调整滑模方法的切换增益。根据仿真和实验结果，该方法提高了跟踪性能并减少了抖振。
In the magnetically suspended momentum wheel, the orientation of the rotor shaft can be actively changed to generate 2-D torques. An adaptive back-stepping sliding mode control (SMC) method is proposed to precisely control the deflection angles. First, the magnetic torques generated by the magnetic bearings are analyzed. According to the magnetic torques, coupled torques exist and influence the tracking control of the deflection angles. It is difficult to model the coupled torque disturbances because their relationship with translations, deflection angles, currents, and other parameters is complex. By analyzing the dynamics and the magnetic torques, the tracking error dynamic is modeled as a system with unmodeled disturbances and parameter uncertainties. A back-stepping integral sliding mode controller whose sliding surface considers the integrals of the angle error and the tracking error is designed for this system. The switching gain should be relatively large to ensure system stability. This will induce severe chattering, which hinders the precision of the deflection angle. A fuzzy algorithm whose inputs include the sliding value and deflection angle is designed to adaptively tune the switching gain of the sliding mode method. According to the simulation and experimental results, the proposed method improves tracking performances and reduces chattering.
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影响因子：
4.8
作者：
Zenglian Liu;J. Svoboda
通讯作者：
Zenglian Liu;J. Svoboda
影响因子：
4.8
作者：
A. Noshadi;Juan Shi;W. S. Lee;P. Shi;Akhtar Kalam
通讯作者：
A. Noshadi;Juan Shi;W. S. Lee;P. Shi;Akhtar Kalam
影响因子：
4.8
作者：
Syuan-Yi Chen;F. Lin
通讯作者：
Syuan-Yi Chen;F. Lin
DOI：
10.1109/ias.1993.299176
发表时间：
1993-10
期刊：
Conference Record of the 1993 IEEE Industry Applications Conference Twenty-Eighth IAS Annual Meeting
影响因子：
--
作者：
John Y. Hung
通讯作者：
John Y. Hung
具有参数估计和卡尔曼滤波器的自适应滑模控制，用于压电驱动微夹具的精确运动控制
影响因子：
4.8
作者：
Zhang, Yulong;Xu, Qingsong
通讯作者：
Xu, Qingsong