基于线缆驱动的触觉交互式虚拟训练系统的全位置型控制策略

Feng Xue, Lixun Zhang, Zhenhan Wang, Yuhe Fan, Da Song, Lailu Li
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引用次数: 0

摘要

基于缆索驱动的虚拟微重力训练系统通常采用力-位混合控制策略,该策略存在以下问题:力控制方法对载荷扰动敏感,缆索的变刚度特性降低了 PID 控制器的控制精度,预期张力波动较大。这些都会影响控制精度,并进一步影响宇航员的触觉和训练效果。针对上述问题,提出了一种全位置型控制策略来提高系统的控制精度。该策略采用顺从控制方法。在该方法中,将弹性元件连接在电缆中,建立拉力和位移的转换模型,通过位移控制实现拉力控制,具有控制精度高、抗负载干扰能力强的特点。主动干扰抑制控制器取代了 PID 控制器。在该控制器中,跟踪微分器用于降低输入信号的高频噪声,扩展状态观测器用于估计和补偿电缆刚度变化引起的误差。设计了一种张力分布方法,使预期电缆张力接近平均张力,以减少张力波动。实验结果表明,与力-位置混合控制策略相比,全位置型控制策略的张力误差和速度误差分别降低了约 51% 和 33%。
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An all-position type control strategy of the haptic interactive virtual training system based on cable-driven
The virtual microgravity training system based on cable drive usually uses a force-position hybrid control strategy which has following problems: the force control method is sensitive to load disturbances, variable stiffness characteristics of cables reduce the control accuracy of PID controllers, and the expected tension fluctuations are large. These will affect the control accuracy, and further affect the tactile sensation and training effectiveness of astronauts. For the above problems, an all-position type control strategy is proposed to improve the system control accuracy. This strategy uses a compliant control method. In this method, elastic elements are connected in cables, the conversion model of tension and displacement is established, and the tension control is realized by the displacement control which has characteristics of high control accuracy and strong resistance to load disturbance. The PID controller is replaced by the active disturbance rejection controller. In this controller, the tracking differentiator is used to reduce high frequency noises of the input signal, and the extended state observer is used to estimate and compensate the error caused by the change of the cable stiffness. A tension distribution method is designed to make expected cable tensions approach the average tension to reduce the tension fluctuation. The experimental results show that compared with the force-position hybrid control strategy, the all-position type control strategy reduces the tension error and speed error by about 51% and 33% respectively.
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