On ramp metering: towards a better understanding of ALINEA via model-free control

Abouaïssa, Hassane; Fliesś, Michel; Join, Cédric

doi:10.1080/00207179.2016.1193223

Cited by 56 publications

(64 citation statements)

References 35 publications

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“…The latest findings dealing with the theoretical proof of ALINEA efficiency are available either in [10] or in the case study for Istanbul freeways [11] containing simulations as well. The Zone algorithm only calculates the free capacity and compares it with the number of vehicles intending to enter the zone.…”

Section: Alinea Algorithmmentioning

confidence: 99%

Ramp - Metering Algorithms Evaluated within Simplified Conditions

Janota

Holečko

Gregor

et al. 2017

Civil and Environmental Engineering

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Freeway networks reach their limits, since it is usually impossible to increase traffic volumes by indefinitely extending transport infrastructure through adding new traffic lanes. One of the possible solutions is to use advanced intelligent transport systems, particularly ramp metering systems. The paper shows how two particular algorithms of local and traffic-responsive control (Zone, ALINEA) can be adapted to simplified conditions corresponding to Slovak freeways. Both control strategies are modelled and simulated using PTV Vissim software, including the module VisVAP. Presented results demonstrate the properties of both control strategies, which are compared mutually as well as with the initial situation in which no control strategy is applied

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Section: Alinea Algorithmmentioning

confidence: 99%

Ramp - Metering Algorithms Evaluated within Simplified Conditions

Janota

Holečko

Gregor

et al. 2017

Civil and Environmental Engineering

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“…The main contributions of this paper with the current literature in the field [1][2][3][4][5][6][7][8][9][10][11][12][13] are: -The mixed MFC-VRFT approach is applied here to an MSS and is experimentally validated by real-time results. -Three different MFC structures are tuned in this paper using the new approach in order to investigate how the controller structure complexity influences the CS performance.…”

Section: Introductionmentioning

confidence: 99%

“…Building upon the previous discrete-time implementations of MFC reported in [1][2][3][4][5][6][7][8][9][10][11][12][13] and the mixed MFC-VRFT approach applied to TRASs in [10], this paper proposes a thorough experimental investigation of the new approach, spanning several MFC structures and comparisons with other model-based and model-free tuned controller structures. The main advantages of the proposed approach with respect to the state-of-the-art are:…”

Section: Introductionmentioning

confidence: 99%

“…-As shown in the applications of MFC algorithms [1][2][3][4][5][6][7][8][9][10][11][12][13], which have mainly achieved the discrete-time implementation of iP, iPI, and iPID controllers, the stability around a reference trajectory is obtained by appropriate gain tuning. -It can be easily generalized to other model-free control techniques.…”

Section: Introductionmentioning

confidence: 99%

“…The MFC algorithms have been successfully applied to various processes, such as thermal processes [2], glycemia of type-1 diabetes [3], oscillation damping [4], wheeled autonomous vehicles [5], microalgae cultivation [6], experimental greenhouses [7], surface mounted permanent magnet synchronous motor drive systems [8], and twin rotor aerodynamic systems (TRASs) [9,10]. Recent applications of MFC are reported in [11][12][13]. Other model-free tuning techniques similar to MFC are active disturbance rejection control [14][15][16] and model-free adaptive control (MFAC) [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Virtual Reference Feedback Tuning of Model-Free Control Algorithms for Servo Systems

et al. 2017

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This paper proposes the combination of two data-driven techniques, namely virtual reference feedback tuning (VRFT) and model-Free Control (MFC) in terms of the VRFT of MFC algorithms dedicated to servo systems. VRFT ensures the automatic optimal computation of the parameters of three MFC algorithms represented by intelligent proportional (iP), intelligent proportional-integral (iPI), and intelligent proportional-integral-derivative (iPID) controllers. The combination of MFC and VRFT leads to a novel mixed MFC-VRFT approach. The approach is validated by experimental results related to the angular speed control of modular servo system laboratory equipment. The performance of the control systems with the MFC algorithms (iP, iPI, and iPID controllers) tuned by the mixed MFC-VRFT approach is compared with that of control systems with MFC algorithms tuned by a metaheuristics gravitational search algorithm (GSA) optimizer, and of control systems with I, PI and PID controllers optimally tuned by VRFT and GSA in the same optimization problem.

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A novel intelligent control approach for wind energy conversion systems with synchronous reluctance generators

Selma,

Bounadja,

Belmadani

et al. 2024

Circuit Theory & Apps

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SummaryThis study addresses a significant research gap in the field of wind energy, focusing on the underutilized potential of synchronous reluctance generators (SynRG) in wind power conversion systems (WPCS). Despite notable advancements in wind energy controls, the capabilities of SynRG within these systems have not been fully explored. In response, we introduce an innovative model‐free control (MFC) approach, termed intelligent proportional (iP), specifically designed and optimized for WPCS equipped with SynRG. This research encompasses the modeling, control, and simulation of SynRG‐based WPCS, aiming to optimize system performance and enhance the quality of grid power supply. The proposed vector control (VC) method utilizes a MFC approach (VC‐iP) to address the limitations inherent in traditional VC methods with proportional‐integral (PI) controllers (VC‐PI). Although widely used for their simplicity, VC‐PI methods often lead to power fluctuations and decreased power and current quality, consequently reducing overall system efficiency. In contrast, VC‐iP markedly enhances power quality and system efficiency, especially in situations involving fluctuating power demand and variable wind speeds. The efficacy of VC‐iP is demonstrated through simulations in two distinct test scenarios that include variations in power demand and random wind speed fluctuations. The results affirm the superiority of VC‐iP in maintaining stable, high‐quality power output from WPCS. This method notably minimizes fluctuations, improves current quality, reduces harmonic distortion and steady‐state error, ensures reliable grid integration, and contributes to a more efficient and sustainable energy system.

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On ramp metering: towards a better understanding of ALINEA via model-free control

Cited by 56 publications

References 35 publications

Ramp - Metering Algorithms Evaluated within Simplified Conditions

Ramp - Metering Algorithms Evaluated within Simplified Conditions

Virtual Reference Feedback Tuning of Model-Free Control Algorithms for Servo Systems

A novel intelligent control approach for wind energy conversion systems with synchronous reluctance generators

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