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Improved networked predictive control with different transmission delays in both forward and feedback channels

机译:改进的网络预测控制,在前向和反馈通道中具有不同的传输延迟

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The paper is concerned with an improved predictive control method of NCSs (Networked Control Systems) with random time delay and data dropout. The design of networked control system we proposed is based on Scenario-Based Networked Control (SBNC). Through this method the NCSs' performance is relative with an equivalent data-dropout probability. In this paper, the improved method is applied on the linear systems, and the network is in both forward and feedback channels that is more realistic. The buffer in feedback channel makes the system equivalent to a system with an extra forward delay, and the feedback channel has no delay. The simulation on the ball and beam system verifies the effectiveness and rationality of the proposed control algorithm. Besides, the comparison between a different predictive method and this improved one is achieved, and the latter one shows better tracking properties even when the network is very bad. The effects of the parameters are also considered in the simulation.
机译:本文涉及具有随机时间延迟和数据丢失的NCS(网络控制系统)的一种改进的预测控制方法。我们提出的网络控制系统的设计基于基于场景的网络控制(SBNC)。通过这种方法,NCS的性能是相对的,具有相等的数据丢失概率。在本文中,将改进的方法应用于线性系统,并且网络在前向和反馈通道中都更实际。反馈通道中的缓冲区使系统等效于具有额外前向延迟的系统,并且反馈通道没有延迟。球和梁系统的仿真验证了所提出的控制算法的有效性和合理性。此外,还对不同的预测方法与改进的方法进行了比较,即使在网络很差的情况下,后者也具有更好的跟踪性能。在模拟中还考虑了参数的影响。

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