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

Hassan, Sabo Miya; Ibrahim, Rosdiazli; Saad, Nordin; Asirvadam, Vijanth S.; Bingi, Kishore

doi:10.1109/access.2017.2772925

Cited by 11 publications

(13 citation statements)

References 32 publications

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“…The influence of Wi-Fi interferences over ZigBee is well-known, since both technologies work at the radio band of 2.4 GHz. Several works, such as [29,34], provide a detailed analysis about this topic. In particular, in [34] it has been shown that ZigBee might be severely interfered by Wi-Fi, and they proposed a theoretical model that explained the phenomenon.…”

Section: Interferences With Wi-fimentioning

confidence: 99%

“…Several works, such as [29,34], provide a detailed analysis about this topic. In particular, in [34] it has been shown that ZigBee might be severely interfered by Wi-Fi, and they proposed a theoretical model that explained the phenomenon. In [34], a safe distance of 8 m between both technologies, has been recommended, to reduce interferences.…”

Section: Interferences With Wi-fimentioning

confidence: 99%

“…These tests showed that a close loop controller was needed. Since the authors focused on the analysis of wireless communications for the control applications, they chose one simple, well-known controller, more specifically a PI controller, even though the performance of the system could have been improved by using more advanced control strategies, such as [33,34]. In the experiments discussed, the error of the PEA positioning system was eliminated for a constant reference, as expected, since the PI controllers, if properly tuned, permanently eliminated the error.…”

mentioning

confidence: 96%

“…On the contrary, if the delay were much higher than the sampling period, the stability of the system could be affected. Some authors [33,34] have analyzed this issue and have proposed using different techniques such as the Smith predictor or Kalman filters, in order to compensate the communication delay in the control scheme.…”

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confidence: 99%

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Building Wireless Control Applications with XBee and LabVIEW

et al. 2019

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This study analyzed the application of the XBee technology for control applications embedded in big machinery. In particular, it presented the control layout, topology, design of frames, and error control mechanisms that are required for implementing wireless control networked applications. This study was devoted to presenting experimental use cases of wireless control systems that help the scientific community to design and implement new control systems. Experimental tests were carried out over a Single Input Single Output (SISO) control application to evaluate its use in close loop applications. The results of these tests have been discussed in detail. In order to clarify the use of XBee in control applications, a high precision positioning application has been presented. It involved a piezoelectric actuator that was remotely controlled by means of a Proportional Integral (PI) controller, which was implemented in LabVIEW over a NI myRIO platform. Both the sensor and the actuators were connected with the NI myRIO by means of the XBee anthenae. The results showed that even though XBee technologies present some drawbacks, such as a lower performance when compared to wired connections and the influence of interferences, they have the potential to be used in some scenarios for non-critical control applications.

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Section: Interferences With Wi-fimentioning

confidence: 99%

Section: Interferences With Wi-fimentioning

confidence: 99%

mentioning

confidence: 96%

mentioning

confidence: 99%

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Building Wireless Control Applications with XBee and LabVIEW

et al. 2019

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“…911 Therefore, in this paper, the developed adaptor is extended for implementation on a flow control. For this purpose, few controllers including those proposed in [11], [12] and [13] will be implemented for flow control on a Pilot Plant.…”

Section: Introductionmentioning

confidence: 99%

Implementation of flow control over WirelessHART sensor network using WirelessHART adaptors

Hassan

Bingi

Ibrahim

et al. 2019

IJEECS

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<p>Despite the advantages of the industrial wireless standards such as WirelessHART, ISA100.11a and Wireless Networks for Industrial Automation-Process Automation (WIA-PA), their application still faces a lot of challenges especially when it comes to interfacing with the real plant. This is due to lack of adequate infrastructures such as interfacing circuitry to establish communication between the WirelessHART nodes and the actuators and sensors. Therefore, this paper presents the application of locally developed WirelessHART adaptors for flow process control. The adaptors serve as an interface between the WirelessHART network and the sensor and actuator of the plant. Experimental results of the controllers compared showed that wireless control is possible through the use of the adaptors.</p>

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Fractional-Order Predictive PI Controller for Dead-Time Processes With Set-Point and Noise Filtering

et al. 2020

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In most of the industrial process plants, PI/PID controllers have been widely used because of its simple design, easy tuning, and operational advantages. However, the performance of these controllers degrades for the processes with long dead-time and variation in set-point. Up next, a PPI controller is designed based on the Smith predictor to handle dead-time processes by compensation technique, but it failed to achieve adequate performance in the presence of external noise, large disturbances, and higher-order systems. Furthermore, the model-based controllers structure is complex in nature and requires the exact model of the process with more tunable parameters. Therefore, in this research, a fractional-order predictive PI controller has been proposed for dead-time processes with added filtering abilities. The controller uses the dead-time compensation characteristics of the Smith predictor and the fractional-order controller's robustness nature. For the high peak overshoot, external noise, and disturbance problems, a new set-point and noise filtering technique is proposed, and later it is compared with different conventional methods. In servo and regulatory operations, the proposed controller and filtering techniques produced optimal performance. Multiple real-time industrial process models are simulated with long dead-time to evaluate the proposed technique's flexibility, set-point tracking, disturbance rejection, signal smoothing, and deadtime compensation capabilities.

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

Cited by 11 publications

References 32 publications

Building Wireless Control Applications with XBee and LabVIEW

Building Wireless Control Applications with XBee and LabVIEW

Implementation of flow control over WirelessHART sensor network using WirelessHART adaptors

Fractional-Order Predictive PI Controller for Dead-Time Processes With Set-Point and Noise Filtering

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