首页> 外文会议>International Conference on Electrical Machines and Systems(ICEMS 2005) vol.2; 20050927-29; Nanjing(CN) >Research on Sliding Mode Robust Tracking Control of High Precision Linear Servo System Based on B Spline Network
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Research on Sliding Mode Robust Tracking Control of High Precision Linear Servo System Based on B Spline Network

机译:基于B样条网络的高精度直线伺服系统滑模鲁棒跟踪控制研究。

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摘要

The permanent magnet linear servo system has some advantages of high speed, high response and direct drive, but the servo performance is influenced by the load disturbances, end-effects, nonlinear friction and the parameters variations. In order to eliminate the influences of the above-mentioned uncertain factors on the base of ensuring better tracking performance, a robust tracking control strategy combining variable structure control (VSC) to B spline nervous network (BSNN) is presented in this paper. The variable structure control has advantages of the fast response and the invariability of the uncertain factors, but its chattering phenomenon will influence the stationarity of the linear servo system and tracking precision. To reduce the "chattering" input, a BSNN is adopted to simulate the above-mentioned uncertain factors, thus the steady state accuracy of the system is enhanced further. The simulation results show that the solution not only has stronger robustness to the uncertainty of the linear servo system, but also has better tracking performance.
机译:永磁线性伺服系统具有高速,高响应和直接驱动的优点,但是伺服性能受负载扰动,端效应,非线性摩擦和参数变化的影响。为了消除上述不确定因素对确保更好的跟踪性能的影响,提出了一种结合变结构控制(VSC)和B样条神经网络(BSNN)的鲁棒跟踪控制策略。变结构控制具有响应速度快,不确定因素不变等优点,但其抖振现象会影响线性伺服系统的平稳性和跟踪精度。为了减少“抖动”输入,采用了BSNN来模拟上述不确定因素,从而进一步提高了系统的稳态精度。仿真结果表明,该解决方案不仅对线性伺服系统的不确定性具有较强的鲁棒性,而且具有较好的跟踪性能。

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