Application of fuzzy logic control system for regulation of differential pressure in Liquid Zone Control System

Bhatt, T. U.; Madala, K.C.; Shimjith, S. R.; Tiwari, A.P.

doi:10.1016/j.anucene.2009.06.011

Cited by 9 publications

(4 citation statements)

References 19 publications

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“…In [5], a liquid level control system for double hold water tank using PID controller is reported. A fuzzy based control scheme is designed to control liquid using differential pressure sensors are reported in [6]. In [7], a Fuzzy based PID controller is designed for control of liquid level in a level process loop.…”

Section: Introductionmentioning

confidence: 99%

Design of an adaptive controller for level process for variation in temperature using multi-sensor data fusion

Santhosh

2014

International Conference on Circuits, Communication, Control and Computing

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Design of an adaptive controller for controlling liquid level in a tank is proposed in this paper. The objective of the proposed paper is to design a PID controller to control the level of liquid. A multi-sensor data fusion architecture based controller is proposed which tunes value of proportional gain constant (KP), integral constant (KI), and differential constant (KD) to maintain a constant liquid level even with changes in liquid temperature. Reaction of temperature with liquid level relation is obtained using measured temperature from temperature sensor. Level process is modeled using two point model technique and model equation for variation in liquid temperature is identified to obtain the new PID values using Ziegler Nicholas tuning technique. The obtained controller is subjected to test with variations in liquid level and temperature, results shows stabilization of process variable.

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Section: Introductionmentioning

confidence: 99%

Design of an adaptive controller for level process for variation in temperature using multi-sensor data fusion

Santhosh

2014

International Conference on Circuits, Communication, Control and Computing

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“…Control of power in a 540MWe PHWR with PI controllers has been an established approach in many countries including India [6]. The use of discrete PID controllers integrated over a data network as a Networked Control System (NCS) for control of a 540 MWe PHWR has also been proposed by some researchers [12].…”

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confidence: 99%

“…However, this methodology requires a fast sampler, as the input needs to be changed more number of times within an output sample interval, which may be difficult to achieve. Fuzzy Logic Controllers (FLCs) are known for their uncertainty handling capabilities and some researchers [6] have also proposed use of FLCs for control of PHWRs. But use of such controllers for control of nuclear reactors needs rigorous validation from stability point of view and is likely to cause regulatory concerns.…”

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confidence: 99%

“…In this paper, it is first attempted to design a PID controller (5) for the nominal plant (4) to yield a nominal closed-loop system of the form (6) with specified values of closed-loop damping , closed-loop frequency and closed-loop real pole , using the Linear Quadratic Regulator(LQR) approach presented in [16]. Specification of indirectly specifies the position of closedloop poles.…”

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An Interval Approach for Robust Control of a Large PHWR with PID Controllers

Banerjee

Halder

Dasgupta

et al. 2015

IEEE Trans. Nucl. Sci.

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A nuclear reactor exhibits changing behavior with variation in reactor power. Further, uncertainties in the measurement of the actual power produced by the reactor, the heat transfer from the fuel to the coolant and the reactivity change due to the change in the fuel and coolant temperatures and condition of the core, make it necessary to adopt a robust control approach for design of control systems for such plants. In this paper a 540 MWe Indian PHWR consisting of 14 zones has been modeled using inexact models incorporating bounded parametric variations in power, heat transfer from the fuel to the coolant and temperature coefficients of reactivity of fuel and coolant. These inexact models are then used to obtain a robust and optimal PID controller gains for controlling the reactor power with specified time response under parametric variations, using an interval approach. The methodology is established with credible MATLAB simulations.

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Online differential pressure reset method with adaptive adjustment algorithm for variable chilled water flow control in central air-conditioning systems

et al. 2021

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Application of fuzzy logic control system for regulation of differential pressure in Liquid Zone Control System

Cited by 9 publications

References 19 publications

Design of an adaptive controller for level process for variation in temperature using multi-sensor data fusion

Design of an adaptive controller for level process for variation in temperature using multi-sensor data fusion

An Interval Approach for Robust Control of a Large PHWR with PID Controllers

Online differential pressure reset method with adaptive adjustment algorithm for variable chilled water flow control in central air-conditioning systems

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