PID and Novel Approach of PI Fuzzy Logic Controllers for Active Surge in Centrifugal Compressor

Chetate, Boukhemis; Zamoum, Razika Boushaki; Fegriche, A.; Boumdin, M.

doi:10.1007/s13369-013-0601-6

Cited by 14 publications

(7 citation statements)

References 5 publications

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“…But the suction pressure in the predictive controller starts with big oscillation comparing to the NARMA controller ( Figure 15b and 18b);  The operating point of the compressor: to ensure a safe operation of our compressor, this latter should not operate in a region of higher flows. In fact, it is to operate just in the safe region because operating in the surge region lead to compressor's damage;  By comparing the performance of NN predictive controller, Fuzzy logic and PID controllers developed in reference [11], it is observed that NARMA-L2 controller is faster and has good set point tracking capability.…”

Section: Discussionmentioning

confidence: 99%

“…So the implementation of artificial neural network in recycles compression system in petroleum companies is better than the actual control using PID controllers (developed in [11]). …”

Section: Discussionmentioning

confidence: 99%

“…The surge regulation is intended to open this valve as soon as the flow in the compressor is getting too close to the surge flow. Anti-surge control has the function of maintaining the compressor in a stable operating range assuring a higher suction capacity than the surging rate whatever the compression ratio may be [11,12].…”

Section: Data Measurement Of the Recycle Compression Systemmentioning

confidence: 99%

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Artificial Neural Network Control of the Recycle Compression System

Boushaki¹,

Chetate²,

Zamoum³

2014

SIC

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This paper presents results from an investigation on a nonlinear compressor control. The useful range of operation of turbo compressors is limited by choking at high rate flows and by the onset of instability known as surge at low rate flows. Traditionally, this instability has been avoided by using control systems that prevent the operating point of the compressor to enter in the unstable region. It is not efficient to apply classical controllers, such as simple P, PI and PID when the parameters of compression system change frequently. The aim of our work is to design and simulate an intelligent controller. A simulation part is clearly presented with the advantages of the intelligent system.

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Section: Discussionmentioning

confidence: 99%

“…So the implementation of artificial neural network in recycles compression system in petroleum companies is better than the actual control using PID controllers (developed in [11]). …”

Section: Discussionmentioning

confidence: 99%

Section: Data Measurement Of the Recycle Compression Systemmentioning

confidence: 99%

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Artificial Neural Network Control of the Recycle Compression System

Boushaki¹,

Chetate²,

Zamoum³

2014

SIC

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“…This class of methods includes driver that controls stand elements based on registered flow parameters. Those algorithms could largely extend machine operating range [Chetate et al (2013)]. On the other side those systems are complex and were successfully applied mainly on research test stands.…”

Section: Anti-surge Systemsmentioning

confidence: 99%

Efficient and reliable surge prevention algorithm for centrifugal compressor

Liśkiewicz

2020

AEAT

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Purpose The paper aims to present an outline of the technology of the active anti-surge algorithm based on high-frequency pressure measurement. The presented system is fast, inexpensive and reliable and does not limit the machine-operating range. Many contemporary anti-surge systems are based on theoretical surge margin. This solution limits machine operating range by about 10-15 per cent in the region of the highest pressure ratios. It is also often sensitive to change in external conditions such as temperature or density, as the system reacts to limits calculated theoretically. Design/methodology/approach This paper presents results of pressure measurements obtained on the low-speed centrifugal blower DP1.12. The pressure signals were presented in the form of phase diagrams, and conclusions were drawn from their phase portraits to develop the surge indication parameter. Findings The presented safety system uses the signal to develop the so-called (rate of derivative fluctuation) RDF parameter. In nominal working conditions, this parameter keeps the value close to 1. When RDF reaches values over 3, the anti-surge procedure should be implemented. Experimental studies have shown that this algorithm assures enough time to incur actions suppressing unstable phenomena. Originality/value The system reacts to real machine working conditions and is hence reliable. The RDF algorithm could also be used to identify local flow instabilities, as well as off-design operation.

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“…The compressor has a significant drawback with surge control and rotating stall problems, which cause instabilities in mass flow and pressure conditions [1]. The proportional integral derivative (PID) controller and fuzzy logic-based PI controllers overcome the operational surge problems in the centrifugal compressor; the recycle (surge) values are controlled with PID and fuzzy-based PI controllers to overcome the instability problems in the compressor system [2]. Different controlling techniques are  ISSN: 2088-8708 Int J Elec & Comp Eng, Vol.…”

Section: Introductionmentioning

confidence: 99%

Hybrid controller design using gain scheduling approach for compressor systems

Narasimhaiah

Narayanappa²,

Lakshmaiah

2022

IJECE

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<span>The automatic control system plays a crucial role in industries for controlling the process operations. The automatic control system provides a safe and proper controlling mechanism to avoid environmental and quality problems. The control system controls pressure flow, mass flow, speed control, and other process metrics and solves robustness and stability issues. In this manuscript, The Hybrid controller approach like proportional integral (PI) and proportional derivative (PD) based fuzzy logic controller (FLC) using with and without gain scheduling approach is modeled for the compressor to improve the robustness and error response control mechanism. The PI/PD-based FLC system includes step input function, the PI/PD controller, FLC with a closed-loop mechanism, and gain scheduler. The error signals and control response outputs are analyzed in detail for PI/PD-based FLC’s and compared with conventional PD/PID controllers. The PD-based FLC with the Gain scheduling approach consumes less overshoot time of 74% than the PD-based FLC without gain scheduling approach. The PD-based FLC with the gain scheduling approach produces less error response in terms of 7.9% in integral time absolute error (ITAE), 7.4% in integral absolute error (IAE), and 16% in integral square error (ISE) than PD based FLC without gain scheduling approach.</span>

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PID and Novel Approach of PI Fuzzy Logic Controllers for Active Surge in Centrifugal Compressor

Cited by 14 publications

References 5 publications

Artificial Neural Network Control of the Recycle Compression System

Artificial Neural Network Control of the Recycle Compression System

Efficient and reliable surge prevention algorithm for centrifugal compressor

Hybrid controller design using gain scheduling approach for compressor systems

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