Performance improvement of an NCS closed over the internet with an adaptive Smith Predictor

Batista, Ana Paula; Jota, F.G.

doi:10.1016/j.conengprac.2017.10.006

Cited by 19 publications

(14 citation statements)

References 41 publications

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“…Let r 1 (t) be the original signal (10) for i � 2: n do (11) repeat ( 12) Obtain e i and f i by means of cubic spline fitting of all maximum and minimum points (13)…”

Section: Parameter Optimization Based On Aqpso Algorithmsmentioning

confidence: 99%

“…However, the process of solving the model parameters is too complex, so it is not suitable for the case with a large range of network delay fluctuation. With the introduction of compensation devices in the feedback loop, Smith predictor can eliminate the adverse effect of network delay on the control system [12,13]. But in practical application, when the parameters of the controlled system are unstable or disturbed, the Smith prediction model will get out of control, which leads to the control effect getting worse and even oscillating.…”

Section: Introductionmentioning

confidence: 99%

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Improved Generalized Predictive Control for High-Speed Train Network Systems Based on EMD-AQPSO-LS-SVM Time Delay Prediction Model

Kong

Zhang

2020

Mathematical Problems in Engineering

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Various control signals of high-speed trains (HSTs) are transmitted through the train communication network. However, the time delay generated during the transmission will cause a significant threat to the stability and safe operation of the train. To overcome the effect of time delay on the train control system, based on empirical mode decomposition (EMD) and adaptive quantum particle swarm optimization (AQPSO) algorithms, a least squares support vector machine (LS-SVM) time delay prediction model is proposed in this paper. The EMD algorithm is used to decompose the time delay sequence into several subsequences, which emphasizes the different local characteristics of the time delay sequence. By improving the calculation method about the successful value of particle iteration, an AQPSO algorithm with adaptive contraction-expansion coefficient is designed to optimize the parameters of different LS-SVM models for predicting each time delay component, which improves the prediction accuracy of network delay. Further, based on actor-critic reinforcement learning algorithm, an improved generalized predictive control method is proposed for the train network system. The actor-critic network is used to predict the future output of the system, and the recursive least squares identification algorithm with the variable forgetting factor is adopted to identify the future system model parameters. Combined with the time delay predicted accurately, the control quantity is sent in advance according to the properly arranged time series, which compensates efficiently the influence of the time delay on the control system. Simulation results show that compared with other control methods, the proposed method has better robustness and stability, which ensures the safe operation of high-speed trains under various working conditions.

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“…Let r 1 (t) be the original signal (10) for i � 2: n do (11) repeat ( 12) Obtain e i and f i by means of cubic spline fitting of all maximum and minimum points (13)…”

Section: Parameter Optimization Based On Aqpso Algorithmsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improved Generalized Predictive Control for High-Speed Train Network Systems Based on EMD-AQPSO-LS-SVM Time Delay Prediction Model

Kong

Zhang

2020

Mathematical Problems in Engineering

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“…It extends the small gain theorem (SGT) for feedback loops with variable time delays. Surprisingly, stability is not always explicitly considered as, e.g., in [9], where an adaptive Smith predictor is applied to control an optical oven over the internet that is subject to variable time delays.…”

Section: Introductionmentioning

confidence: 99%

A Stability Criterion for Networked Control Systems With Packetized Transmissions

Steinberger

Horn

2021

IEEE Control Syst. Lett.

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A networked output feedback loop subject to packetized transmissions of the output signal is considered. Based on the small gain theorem, an easy-to-use stability criterion covering two important cases is presented. In the first case a packet numbering mechanism is employed whereas in the second case neither packet numbering nor synchronization between sender and receiver is assumed. The analysis makes use of acausal subsystems and deduces the optimal constant time delay that should be used in a nominal controller design such that additional packet delay variations introduced by the network are maximized. A simulation example of a networked control system with a filtered Smith predictor illustrates the application of the proposed criterion and compares the results to different approaches from literature.

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“…Existing position servo control methods rarely consider the impact of the network-induced delays. In the field of networked control systems, there are many network-induced delay compensation methods [21][22][23][24][25][26], such as the adaptive Smith predictors, switching system methods, and so on, but most of the algorithms are complex and difficult to apply in practice. Recently, a novel method termed the communication disturbance observer (CDOB) was presented in [27].…”

Section: Introductionmentioning

confidence: 99%

A LADRC based fuzzy PID approach to contour error control of networked motion control system with time‐varying delays

Wang

Zhang

Dong

2019

Asian Journal of Control

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This paper investigate the contour error control problem for networked multi‐axis motion system (NMAMS) with time‐varying delays. Firstly, the uncertainties induced by the delays are modeled as a part of the total disturbance, and a linear active disturbance rejection controller (LADRC) is designed for the uniaxial trajectory tracking control. In the LADRC, a linear extended state observer (LESO) is designed to estimate the system state and the total disturbance simultaneously, and the effect of the total disturbance is eliminated by the designed linear feedback error control law. Then, the classical contour error estimation method is adopted, and a fuzzy PID controller is designed to compensate the contour error to achieve a better contour tracking performance. Finally, experiments are provided to verify the effectiveness of the proposed method.

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Performance improvement of an NCS closed over the internet with an adaptive Smith Predictor

Cited by 19 publications

References 41 publications

Improved Generalized Predictive Control for High-Speed Train Network Systems Based on EMD-AQPSO-LS-SVM Time Delay Prediction Model

Improved Generalized Predictive Control for High-Speed Train Network Systems Based on EMD-AQPSO-LS-SVM Time Delay Prediction Model

A Stability Criterion for Networked Control Systems With Packetized Transmissions

A LADRC based fuzzy PID approach to contour error control of networked motion control system with time‐varying delays

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