Process Control Design for Industrial Applications

Popescu, Dumitru; Gharbi, Amira; Ștefănoiu, Dan; Borne, Pierre

doi:10.1002/9781119407461

Cited by 13 publications

(14 citation statements)

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“…According to [15], there are two approaches for using fuzzy logic to make a decision: the conventional approach, in which the defuzzification process is carried out at an early stage and a fuzzy approach in which defuzzification is accomplished in the final stages. In Figure 2, the most simplified diagram of a fuzzy logic system is depicted [30][31][32]. In this diagram, the fuzzification block converts the distinct input values into a fuzzy dataset (regarding temperature, values such as −10 °C and 15 °C are converted to "cold" and "warm").…”

Section: Fuzzy Logic Principalsmentioning

confidence: 99%

A Smart Adaptive Switching Module Architecture Using Fuzzy Logic for an Efficient Integration of Renewable Energy Sources. A Case Study of a RES System Located in Hulubești, Romania

et al. 2020

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Electricity generation from renewable energy sources (RES) has a common feature, that is, it is fluctuating, available in certain amounts and only for some periods of time. Consuming this electricity when it is available should be a primary goal to enhance operation of the RES-powered generating units which are particularly operating in microgrids. Heavily influenced by weather parameters, RES-powered systems can benefit from implementation of sensors and fuzzy logic systems to dynamically adapt electric loads to the volatility of RES. This study attempts to answer the following question: How to efficiently integrate RES to power systems by means of sustainable energy solutions that involve sensors, fuzzy logic, and categorization of loads? A Smart Adaptive Switching Module (SASM) architecture, which efficiently uses electricity generation of local available RES by gradually switching electric appliances based on weather sensors, power forecast, storage system constraints and other parameters, is proposed. It is demonstrated that, without SASM, the RES generation is supposed to be curtailed in some cases, e.g., when batteries are fully charged, even though the weather conditions are favourable. In such cases, fuzzy rules of SASM securely mitigate curtailment of RES generation by supplying high power non-traditional storage appliances. A numerical case study is performed to demonstrate effectiveness of the proposed SASM architecture for a RES system located in Hulubești (Dâmbovița), Romania.

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Section: Fuzzy Logic Principalsmentioning

confidence: 99%

A Smart Adaptive Switching Module Architecture Using Fuzzy Logic for an Efficient Integration of Renewable Energy Sources. A Case Study of a RES System Located in Hulubești, Romania

et al. 2020

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“…Furthermore, we have considered a control structure which involves three closed loops, presented in Figure 1: FRC-1, control loop for steam/ethane flow ratio; TRC-2, control loop for temperature; PRC-3 control loop for pressure. For the control solution, RST polynomial control was recommended to assure the construction of the two-level proposed architecture, offering independent performances in tracking and control [12,[17][18][19].…”

Section: Nominal Control Level Designmentioning

confidence: 99%

“…Since steam flow respects the ratio imposed with ethane flow, it is thus achieved the control of both parameters. In order to determine the control algorithm for the steam flow which is pumped into the reactor, we have analytically determined the mathematical model based on the flow equations provided by the parameters of the technological pipe, from the experimental platform [18,19].…”

Section: Control Of Stream/ethane Flow Ratiomentioning

confidence: 99%

“…Similarly, Figure 5 shows the response of the closed loop pressure control system when a 20% step disturbance is added. For all three systems (FRC-1, TRC-2, PRC-3), the R, S polynomials were computed solving the polynomial Diophantine equation and the T polynomial was computed by assuring the tracking performances for the closed loop systems [18,19].…”

Section: Control Of Reaction Parametersmentioning

confidence: 99%

“…The main goal is to design the robust control systems for temperature and pressure that can provide a way of preserving the performances obtained in simulation on the physical pyrolysis reactor in the presence of disturbances (ethane quality) or modeling uncertainties [18][19][20].…”

Section: Robust Control Solutionmentioning

confidence: 99%

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Advanced Control for Hydrogen Pyrolysis Installations

et al. 2020

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Today, hydrogen production plays an important part in the industry due to the increasing use of hydrogen in significant domains, such as chemistry, transportation, or energy. In this paper, we aim to design a numerical control solution based on the thermodynamic analysis of the pyrolysis reactions for hydrogen production and to present novel research developments that highlight industrial applications. Beginning with the evaluation of the technological aspects for the pyrolysis chemical process, the paper studies the thermodynamic evaluation of the system equilibrium for the pyrolysis reactions set, to recommend an appropriate automatic control solution for hydrogen pyrolysis installations. The numerical control architecture is organized on two levels, a control level dedicated to key technological parameters, and a supervisory decision level for optimizing the conversion performances of the pyrolysis process. The data employed for modelling, identification, control, and optimization tasks, were obtained from an experimental platform. The scientific results can be implemented on dedicated equipment, to achieve an optimal exploitation of the industrial pyrolysis process.

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Detectability‐based controller design screening for processes under multiplicative cyberattacks

2021

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Cyberattacks on process control systems (PCSs) may target communication links, compromising the data integrity. Cyberattack detection and mitigation are essential capabilities, as the consequences of a successful cyberattack on a PCS may be severe. While detectability may be viewed as a systems‐theoretic property, cyberattack detection in practice depends on the attack detection scheme used and the PCS design. This paper presents an approach for control parameter screening based on the detectability of sensor‐controller communication link multiplicative attacks. First, a residual set‐based condition for the undetectability of an attack is developed. A controller screening methodology aimed at identifying controller parameter choices that mask the detectability of an attack is presented. The proposed methodology can be used to incorporate the detectability of an attack as a criterion into conventional control design criteria (e.g., closed‐loop stability and economic considerations). Finally, the application of the controller screening methodology is demonstrated using two illustrative examples.

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Process Control Design for Industrial Applications

Cited by 13 publications

References 0 publications

A Smart Adaptive Switching Module Architecture Using Fuzzy Logic for an Efficient Integration of Renewable Energy Sources. A Case Study of a RES System Located in Hulubești, Romania

A Smart Adaptive Switching Module Architecture Using Fuzzy Logic for an Efficient Integration of Renewable Energy Sources. A Case Study of a RES System Located in Hulubești, Romania

Advanced Control for Hydrogen Pyrolysis Installations

Detectability‐based controller design screening for processes under multiplicative cyberattacks

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