Design of a Fuzzy Logic process Controller for flow applications and implementation in series tanks Pilot Plant

AL-Qutami, Tareq Aziz; Ibrahim, Rosdiazli

doi:10.1109/iic.2015.7150784

Cited by 4 publications

(4 citation statements)

References 15 publications

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“…Many more advantages of fuzzy controllers than the PID may be found in [59]. Finally, to overcome problems inherited with the conventional PID control scheme such as handling unpredictable disturbance, non-measurable noise, and further improving the transient or steady-state response performance, the authors of [60] designed the fuzzy controller for flow application in tanks.…”

Section: Control Techniques For Flow Processesmentioning

confidence: 99%

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Fuzzy Regulator for Two-Phase Gas–Liquid Pipe Flows Control

2021

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The paper presents an intelligent module to control dynamic two-phase gas–liquid mixtures pipelines flow processes. The module is intelligent because it uses the algorithm based on AI methods, namely, fuzzy logic inference, to build the fuzzy regulator concept. The developed modification has allowed to design and implement the black-box type regulator. Therefore, it is not required to determine any of the complicated computer models of the flow rig, which is unfortunately necessary when using the classic regulators. The inputs of the regulator are four linguistic variables that are decomposed into two classes and two methods of fuzzification. The first input class describes the current values of gas and liquid pipe flows, which at the same time are the controlled values manipulated to generate desired flow type. The second class of the input signals contains a current flow state, namely, its name and the name preferred by the operator flow type. This approach improves the control accuracy since the given flow type can be generated with different gas and liquid volume fractions. Those values can be optimized by knowing the current flow type. Moreover, the fuzzification algorithm used for the input signals included in the first-class covers the current crisp signal value and its trend making the inference more accurate and resistant to slight measurement system inaccuracy. This approach of defined input signals in such environments is used for the first time. Considering all mentioned methods, it is possible to generate the desired flow type by manipulating the system input signals by minimum required values. Furthermore, a flow type can be changed by adjusting only one of the input signals. As an output of the inference process, two linguistic values are received, which are fuzzified adjustment values of the liquid pump and gas flow meter. The regulator looks to be universal, and it can be adopted by multiple test and production rigs. Moreover, once configured with a dedicated rig, it can be easily operated by the non (domain) technical staff. The usage of fuzzy terms makes understanding both the control strategy working principles and the obtained results easy.

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Section: Control Techniques For Flow Processesmentioning

confidence: 99%

“…The next challenge associated with the classic approach for fuzzification was the lack of possibility of changing the shape and type of membership functions to split the linguistic variable representing the input signals into terms [60].…”

Section: Fuzzy Regulator Principlesmentioning

confidence: 99%

Fuzzy Regulator for Two-Phase Gas–Liquid Pipe Flows Control

2021

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“…The model of the system is given in the transfer function of (7). The model was obtained using empirical modelling of the plant similar to that reported in [22] and [23]. The various controller parameters for the plant are given in Table 3.…”

Section: Plant Model and Controllers Parametersmentioning

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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“…The contributors of this work simulated fuzzy and neuro-fuzzy controllers to obtain better performance in flow process regulation in comparison to the PID. Likewise, to overcome the occurrences of unpredictable disturbances from PID regulators AL-Qutami and Ibrahim [6] designed the fuzzy controller for flow application in tanks. It can be read here that this type of controller is flexible and can handle any sudden changes or disturbances on the system and can overcome the presence of process nonlinearities, operation variability and measurements noise.…”

Section: Flow Controlmentioning

confidence: 99%

Computer methods for non-invasive measurement and control of two-phase flows: a review study

Wajman

2019

ITC

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Nowadays, the application of advanced technologies in modern production systems is the main trend of development and technological progress in many industrial sectors. It is due to the still growing trends of energy-saving and production quality enhancement. Wherever in the production process the phase mixture is transported and it is not optimal or not economic, there is a need to develop a system which would be able to prevent any construction disaster, unexpected production line stopping or situation where for reasons of bad flow parameters, the final product is defective. This paper studies various sensors, measurement techniques and computer methods for signal processing and analysis to diagnose and control two-phase flows. Due to the possibility that the invasive measurement disturbs the process and changes it parameters and behavior especially in the location just after the measurement point and simultaneously does not provide any information about these changes it is unreliable for the diagnosis or control. Therefore, the non-invasive techniques commonly used for measurement of flows parameters are described. Depending on the industrial demands many of applications examples for non-invasive two-phase flows measurement and monitoring are given. This description for identifying the flow parameters is divided into features categories of this phenomena as void fraction distribution, velocity profile and flow regime. However, from these methods the high accuracy and short processing time is expected. The continued observation and monitoring of the process abnormalities can provide valuable information about its dynamic state and allow for real-time and automatic monitoring and control. Therefore, the development of advanced process control is one of the most important challenges to keep the flow regime on the given level and for instant and long-term energy saving, quality improvement.

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Design of a Fuzzy Logic process Controller for flow applications and implementation in series tanks Pilot Plant

Cited by 4 publications

References 15 publications

Fuzzy Regulator for Two-Phase Gas–Liquid Pipe Flows Control

Fuzzy Regulator for Two-Phase Gas–Liquid Pipe Flows Control

Implementation of flow control over WirelessHART sensor network using WirelessHART adaptors

Computer methods for non-invasive measurement and control of two-phase flows: a review study

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