Adopting Setpoint Weighting Strategy for WirelessHART Networked Control Systems Characterised by Stochastic Delay

In networked control system, such as WirelessHART that is characterized by stochastic delay, the use of proportional integral and differential (PID) controllers is inadequate. This is because PID performs poorly in handling time-delay processes. The main reason for this poor performance is the limit...

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Bibliographic Details
Published in:IEEE access 2017-01, Vol.5, p.25885-25896
Main Authors: Hassan, Sabo Miya, Ibrahim, Rosdiazli, Saad, Nordin, Asirvadam, Vijanth Sagayan, Bingi, Kishore
Format: Article
Language:English
Subjects:
Compensators
Control systems
Controllers
Deadtime
Delays
Load modeling
Logic gates
PID controller
Proportional integral derivative
Random variables
Robustness
setpoint weighting
stochastic network delay
Stochastic processes
Time lag
Tracking
Weighting
Wireless communication
Wireless sensor networks
WirelessHART
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Summary:In networked control system, such as WirelessHART that is characterized by stochastic delay, the use of proportional integral and differential (PID) controllers is inadequate. This is because PID performs poorly in handling time-delay processes. The main reason for this poor performance is the limitation in the range of stable gain of the controller. Time delay causes oscillatory response of the PID with large gain. Likewise, sluggish response is experienced with small gain of the PID. Also, dead time compensators like smith predictor and internal model controller are difficult to be implemented practically since they require exact model of the process to be controlled. Therefore, this paper proposes the application of setpoint weighting strategy to be used alongside PID controller in a WirelessHART network. This method extends significantly the range of the PID gain, while providing good set point tracking and load regulation. From the simulation and experimental results obtained, the capability of the approach to load regulation and tracking can be seen in its fast recovery from effect of disturbance with minimal overshoot. Thus, a two degree of freedom control is achieved. Results also showed that the method is robust to real-time random variable network delay and model mismatches.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2017.2772925