基于网络的液压马达伺服位置系统自适应鲁棒积分控制
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TP273

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国家自然科学基金资助项目(51975376)


Adaptive robust integral control of hydraulic motor servo position system based on network
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    摘要:

    针对基于网络的液压伺服控制系统面临的网络延时和阀控马达建模结构不确定性问题,提出了基于Pade定理和反步推导方法合成的误差符号鲁棒积分自适应控制器。该控制器使用Pade定理近似处理时变网络引起的延时,降低延时对控制系统跟踪性能的影响,应用自适应率逼近系统结构不确定性和延时误差值,采用误差符号控制方法补偿剩余的结构不确定性。通过构造合适的Lyapunov函数,验证了闭环系统的全局稳定性,保证闭环系统所有信号的有界性和跟踪误差渐进收敛性。仿真结果表明了该控制方法的高精度跟踪性能。

    Abstract:

    For the problems of network delay and uncertainty in modeling the structure of the valve-controlled motor faced by the network-based hydraulic servo control system, a robust integral adaptive controller with error sign synthesized based on Pade's theorem and the backstepping derivation method was proposed. Pade's theorem was used by the controller to approximate the time delay caused by the time-varying network, and reduced the impact of the delay on the tracking performance of the control system. The adaptive rate was applied to approximate the structural uncertainty and delay error values of the system. The error sign control method was used to compensate for the remaining structural uncertainty. By constructing a suitable Lyapunov function, the global stability of the closed-loop system was verified, and the boundedness of all signals of the closed-loop system and the asymptotic convergence of the tracking error were guaranteed. The simulation results show the high-precision tracking performance of the control method.

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沈伟,刘帅,武毅.基于网络的液压马达伺服位置系统自适应鲁棒积分控制[J].上海理工大学学报,2021,43(4):325-331.

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  • 收稿日期:2020-11-17
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  • 在线发布日期: 2021-08-25
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