Design and Practical Implementation of Internet-Based Predictive Control of a Servo System

Chai, Senchun; Liu, Shuai; Rees, D.; Xia, Yuanqing

doi:10.1109/tcst.2007.903095

Cited by 60 publications

(18 citation statements)

References 18 publications

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“…First, similar to [24], the numerator of G 1 (z −1 ) is amplified by 10%. Moreover, the denominator of G 1 (z −1 ) is amplified by 5% because of the unbalanced load.…”

Section: Simulationmentioning

confidence: 95%

Networked Predictive Control of Uncertain Systems With Multiple Feedback Channels

Song

Liu

2013

IEEE Trans. Ind. Electron.

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This paper studies the design and stability analysis of uncertain networked control systems with multiple feedback channels. An observer-based networked predictive control (NPC) method is proposed to compensate for the distributed delays and packet dropouts in the feedback channels. Sufficient conditions are presented for the closed-loop NPC system with distributed delays and packet dropouts to be stable, both in constant and random cases. A ball-and-beam system is employed to test the proposed method. Both the simulation and experiment results demonstrate the effectiveness of the method.Index Terms-Delays, distributed, networked control systems (NCSs), networked predictive control (NPC), observer-based control, packet dropouts.

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“…First, similar to [24], the numerator of G 1 (z −1 ) is amplified by 10%. Moreover, the denominator of G 1 (z −1 ) is amplified by 5% because of the unbalanced load.…”

Section: Simulationmentioning

confidence: 95%

Networked Predictive Control of Uncertain Systems With Multiple Feedback Channels

Song

Liu

2013

IEEE Trans. Ind. Electron.

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“…which is resulted from (18). Therefore it is clear from (1), (26) and (27) that the closed-loop networked predictive control system is represented by (19).…”

Section: Stability Analysis Of Networked Non-linear Predictive Contromentioning

confidence: 99%

Design and analysis of networked non‐linear predictive control systems

Liu

2015

IET Control Theory & Applications

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This study is concerned with the control problem of networked non-linear systems with communication delay and data dropout. A networked non-linear predictive control scheme is proposed to compensate for communication delay and data dropout actively rather than passively. The stability analysis shows that the stability problem of the closed-loop networked non-linear predictive control system is converted to the one of a conventional non-linear control system without network. The simulations illustrate that the proposed scheme can compensate for communication delay and data dropout, and achieve the same control performance of the local closed-loop control system without network. IntroductionWith the rapid development of communication, control and computer technology, the networked control system (NCS) is currently playing a very important role in the Internet of things. The NCS is a spatially distributed control systems via communication networks. Its structure is much more complex than traditional control systems. Although the NCS compared with conventional control systems has many advantages, there also exist various challenging issues, for example, transmission delay, packet loss, network scheduling, communication constraints, signal quantification, data security and so on [1, 2]. To make a networked system have good control performance, a great amount of research work has been carried out in system modelling, controller design, stability analysis and implementation of NCSs in recent years [3][4][5][6][7]. It can be classified as three main research directions: control over network, control of network and control of Internet of things. The control over network uses control strategies to compensate for network delay, packet loss and communication constraints to make the networked system achieve desired control performance [8][9][10][11]. The control of network employs control strategies to optimise network routing and information scheduling so that the service of the entire network is of high quality [12,13]. The control of Internet of things combines both control strategies and scheduling strategies to achieve efficient control of things via networks [14,15].In recent years, most of research in NCSs focuses on the control over network. In particular, to actively compensate for network delay and data loss and achieve desired control performance, the networked predictive control scheme for networked linear control systems was proposed in [16,17]. The design, analysis and implementation of networked predictive control systems have widely been studied in recent years [5,18]. The robustness and stability criteria of networked predictive control systems have been derived for NCSs with internal and external uncertainties [8,19]. The networked predictive control scheme has also extended to some particular non-linear control systems, for example, output feedback linearisable systems [20], Hammerstein systems [21], Wiener systems [22] and constrained systems [23].Although some specific types of networked non-linear contro...

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“…The sliding mode algorithm based on T-S fuzzy model is used for transform delay system into non-delay system [9], the simulation results show the effectiveness of this method. The literature [10] using predictive control sequences respectively compensate feedback induced time-delay and data loss of control channel, but how to detect induced time-delay and data loss is a key problem. Aiming at the network with random time-varying, the network generalized predictive control algorithm based on state space model is proposed to access the effectively tracking performance [11].…”

Section: Introductionmentioning

confidence: 99%

The Time-Delay Compensation Method for Networked Control System Based on Improved Fast Implicit GPC

Tian¹

2016

IJCA

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Design and Practical Implementation of Internet-Based Predictive Control of a Servo System

Cited by 60 publications

References 18 publications

Networked Predictive Control of Uncertain Systems With Multiple Feedback Channels

Networked Predictive Control of Uncertain Systems With Multiple Feedback Channels

Design and analysis of networked non‐linear predictive control systems

The Time-Delay Compensation Method for Networked Control System Based on Improved Fast Implicit GPC

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