Model Based Predictive Networked Control Systems

Onat, Ahmet Mesut; Naskalı, Ahmet Teoman; Parlakay, Emrah Mehmet

doi:10.3182/20080706-5-kr-1001.02198

Cited by 10 publications

(4 citation statements)

References 15 publications

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“…In this paper, by the estimation of the plant behavior, it has been possible to decrease the NCS sampling time, resulting in lower network utilization. Reference [18] develops a MPC methodology for NCS that uses a plant model, inserted into the controller, to predict plant future states and to calculate control signals (actual plus predict ones) in order to deal with the lost of packets and network delays on the NCS. At each NCS sampling time all control signals calculated are transmitted to the actuator, which in case of packet loss, it applies in the plant the predicted control signals received previously.…”

Section: Review Of Control Methodologies For Ncsmentioning

confidence: 99%

Sampling time adaptive control methodology for CAN-based Networked Control Systems

Godoy

Porto

Inamasu³

2010

2010 9th IEEE/IAS International Conference on Industry Applications - INDUSCON 2010

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Networked Control Systems (NCS) have become a widely considered research topic. This new control approach differs from the traditional fieldbus systems in that the controller and the plant are physically separated and connected through an industrial network. The major challenge of NCS design is the limited data feedback using the communication network (network delays and packet loss), which can degrade the NCS performance or even cause instability. For CAN-based NCS, another important issue is the correct selection of the messages sampling times. In order to mitigate these problems, control methodologies have been developed based on different types of network protocols in conjunction with different strategies to handle the degenerative effects related to NCS. This paper describes our approach to design and evaluate a new control methodology for application in CAN-based NCS. The solution is based on an adaptive PID controller that automatically manages the NCS sampling time, reducing the network utilization rate while maintaining NCS performance and stability. The feasibility and effectiveness of the control methodology are outlined through experimentation on a CANbased NCS platform, showing significant results in the CAN network utilization reduction.

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Section: Review Of Control Methodologies For Ncsmentioning

confidence: 99%

Sampling time adaptive control methodology for CAN-based Networked Control Systems

Godoy

Porto

Inamasu³

2010

2010 9th IEEE/IAS International Conference on Industry Applications - INDUSCON 2010

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“…In many literatures, assume the extreme situation will not appear. But in this paper, we adopt a relatively conservative method, continue to use the last controlled quantity, similar to the reference [4], until a new sequence can be used.…”

Section: System Designedmentioning

confidence: 99%

GPC Control Strategy and Simulation of a ZigBee Based Wireless Networked Control System

Qiu

Cao

Shuai

et al. 2014

AMM

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Aiming at the random delays and packet dropouts in ZigBee network, a Generalized Predictive Control (GPC) algorithm is proposed. The control sequence combine with timestamp, feedback sequence and queuing mechanisms to design a predictive control strategy. The GPC algorithm derivation, system design and implementation method are given, and then the algorithm is validated in a networked control system simulation toolbox based on TrueTime. The proposed algorithm shows better performance than conventional PID algorithm for a DC servo motor in control system based on ZigBee technology.

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“…In the first method, random time-varying network delays are turned into a deterministic value by using system buffers to let control signals wait in a queue (Luck and Ray, 1994;Zhu et al, 2010). In the second method, a similar plant model is integrated in the network controller to predict future control signals, and then the deviation of plant state caused by transmission delay can be compensated for by the predicted control signal based on the model-based predictive control method in Onat et al (2008Onat et al ( , 2011 and Naskali and Onat (2006). In the third method, network-induced delays and packet dropouts are considered stochastic parameters, which will be described in the NCS model and are commonly supposed to satisfy the Markov chain distribution, or are independent and identically distributed.…”

Section: Introductionmentioning

confidence: 99%

Mode-dependent controller design for networked control system with average dwell time switching

Zhao

2016

Transactions of the Institute of Measurement and Control

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This paper studies the modelling and stabilization problem for a class of networked control systems (NCSs) with random time delays and packed dropouts based on the average dwell time (ADT) switching approach. A new effective sampling method is presented to deal with time-varying delays, which finally reduces the high dimension and complexity of the NCS model. A class of subsystems is developed for NCS based on a set of switching signals triggered by discretized time delays and packet dropouts. By constructing multiple quadratic Lyapunov-like functions that allowed both decreasing and increasing, sufficient switched stability conditions are derived and a set of mode-dependent feedback controllers are designed for each active mode based on the ADT switching control method to guarantee the stability of the proposed switched NCS with admissible ADT. A do-loop linear matrix inequalities (LMI) optimization problem is formulated to find the control law without predefining the switching sequence and the times when network-induced factors occur. A numerical example is given to illustrate the effectiveness of the proposed method.

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Model Based Predictive Networked Control Systems

Cited by 10 publications

References 15 publications

Sampling time adaptive control methodology for CAN-based Networked Control Systems

Sampling time adaptive control methodology for CAN-based Networked Control Systems

GPC Control Strategy and Simulation of a ZigBee Based Wireless Networked Control System

Mode-dependent controller design for networked control system with average dwell time switching

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