2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNSC) 2019
DOI: 10.1109/icnsc.2019.8743311
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Control of Flow Rate in Pipeline Using PID Controller

Abstract: In this paper a PID controller is utilized in order to control the flow rate of the heavy-oil in pipelines by controlling the vibration in motor-pump. A torsional actuator is placed on the motor-pump in order to control the vibration on motor and consequently controlling the flow rates in pipelines. The necessary conditions for asymptotic stability of the proposed controller is validated by implementing the Lyapunov stability theorem. The theoretical concepts are validated utilizing numerical simulations and a… Show more

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Cited by 16 publications
(7 citation statements)
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“…In Equations (18) and (19), Π 0 , Π 1 , Π 1b , Π 2 , Π 2b and Π n are the pressure head variables and Φ 0 , Φ 1 , Φ 1b , Φ 2 , Φ 2b and Φ n are the flow rate variables. In this work, we aimed to construct observer and controller for the systems stated in Equation (8) as well as Equation (9).…”
Section: Of 16mentioning
confidence: 99%
See 3 more Smart Citations
“…In Equations (18) and (19), Π 0 , Π 1 , Π 1b , Π 2 , Π 2b and Π n are the pressure head variables and Φ 0 , Φ 1 , Φ 1b , Φ 2 , Φ 2b and Φ n are the flow rate variables. In this work, we aimed to construct observer and controller for the systems stated in Equation (8) as well as Equation (9).…”
Section: Of 16mentioning
confidence: 99%
“…However, one common idea considered in this paper for the aim of blockage identification problem is the blockage parameter approximation λ, γ as well as Θ b , utilizing an extended Kalman filter. For this aim, the model proposed in Equations (18) and (19) has been developed by the dynamics of these parameters, also a nonlinear observer has been made for the developed system [29]. For different cases it has been assumed to measure only pressures head, or only flow rates or combination of both at the beginning or end of the pipeline.…”
Section: Observer Design By Using the Extended Kalman Filtermentioning
confidence: 99%
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“…Current research works are mainly focused on modeling the observer, controller or fault detection methods [12] [13] [14] [15]. However, studying the observability and controllability of the pipeline is remarkably essential [16] [17] [18] [19]. In this paper, a novel technique is proposed to analyze and model the flow in the pipeline.…”
Section: Introductionmentioning
confidence: 99%