网络控制系统中的自适应时滞补偿过程

Yong-Gil Kim, Kyung-Il Moon
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引用次数: 3

摘要

在过去的十年中,随着通信技术的进步,网络控制系统(NCS)得到了发展。网络控制系统所涉及的问题大致分为两类,即网络引起的网络问题和系统网络引起的控制性能问题。网络问题涉及带宽分配、调度和网络安全,控制问题涉及稳定性分析和时延补偿。由于共享公共网络介质,会出现各种不同长度的延迟。虽然大多数延迟很小,而且大多被忽略,但网络引起的延迟是显著的。当传感器、执行器和控制器通过通信网络交换数据包时,就会发生这种情况。网络诱导延迟产生于传感器到控制器和控制器到执行器之间。本文提出了一种有效控制的自适应延迟补偿方法。虽然Smith预测器是常用的死区补偿器,但它不能适应网络特性的随机行为。时滞自适应补偿对死时间的解决进行了有效的控制,并利用植物模型和计算时滞建立了一个虚拟环境来补偿时滞的影响。该方法使用TrueTime模拟器进行仿真,TrueTime模拟器是一个基于Matlab Simulink的模拟器,有助于在实时内核、网络传输和NCS连续工厂动态中对控制器任务执行进行联合仿真。仿真结果表明,该控制方法具有良好的控制性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive Time Delay Compensation Process in Networked Control System
Networked Control System (NCS) has evolved in the past decade through the advances in communication technology. The problems involved in NCS are broadly classified into two categories namely network issues due to network and control performance due to system network. The network problems are related to bandwidth allocation, scheduling and network security, and the control problems deal with stability analysis and delay compensation. Various delays with variable length occur due to sharing a common network medium. Though most delays are very less and mostly neglected, the network induced delay is significant. It occurs when sensors, actuators, and controllers exchange data packet across the communication network. Networked induced delay arises from sensor to controller and controller to actuator. This paper presents an adaptive delay compensation process for efficient control. Though Smith predictor has been commonly used as dead time compensators, it is not adaptive to match with the stochastic behavior of network characteristics. Time delay adaptive compensation gives an effective control to solve dead time, and creates a virtual environment using the plant model and computed delay which is used to compensate the effect of delay. This approach is simulated using TrueTime simulator that is a Matlab Simulink based simulator facilitates co-simulation of controller task execution in real-time kernels, network transmissions and continuous plant dynamics for NCS. The simulation result is analyzed, and it is confirmed that this control provides good performance.
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