Evidence map›Paper›PMID 40038443›Full record

ArticleScientific reports2025

HIL co-simulation of an optimal hybrid fractional-order type-2 fuzzy PID regulator based on dSPACE for quadruple tank system.

Faycal Medjili, Abderrahmen Bouguerra, Mohamed Ladjal, Badreddine Babes, Enas Ali, Sherif S M Ghoneim, Dessalegn Bitew Aeggegn, Ahmed B Abou Sharaf

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Faycal MedjiliDepartment of Electronics, Faculty of Technology, University of M'sila, University Pole, Bordj Bou Arreridj Road, 28000, M'sila, Algeria.
Abderrahmen BouguerraLGE Research Laboratory, Department of Electrical Engineering, Faculty of Technology, University of M'sila, University Pole, Bordj Bou Arreridj Road, 28000, M'sila, Algeria.
Mohamed LadjalDepartment of Electronics, Faculty of Technology, University of M'sila, University Pole, Bordj Bou Arreridj Road, 28000, M'sila, Algeria.
Badreddine BabesResearch Center in Industrial Technologies CRTI, Algiers, Algeria.
Enas AliUniversity Centre for Research and Development, Chandigarh University, Mohali, Punjab, 140413, India.
Sherif S M GhoneimDepartment of Electrical Engineering, College of Engineering, Taif University, 21944, Taif, Saudi Arabia.
Dessalegn Bitew AeggegnDepartment of Electrical and Computer Engineering, Debre Markos University, 269, Debre Markos, Ethiopia. dessalegn_bitew@dmu.edu.et.
Ahmed B Abou SharafMinistry of Higher Education and Scientific Research, Industrial Technical Institute in Mataria, Cairo, 11718, Egypt.

Funding

Taif University, Taif, Saudi Arabia TU-DSPP-2024-14
6 · The paper itself

Abstract

Accurate regulation of the liquid level in a quadruple tank system (QTS) is not easy and imposes higher requirements on control strategies, so the design of controllers in these systems is challenging due to the difficulty of dynamic analysis of its nonlinear characteristics and parametric uncertainties. To overcome these problems in liquid level regulation and increase the robustness to the pump coefficients, this article proposes and investigates the use of an optimal hybrid fractional-order type-2 fuzzy-PID (OH-FO-T2F-PID) regulator using a combination of two bio-inspired evolutionary optimizers, namely augmented grey wolf optimizer and cuckoo search optimizer, which gives rise to the new hybrid A-GWOCS algorithm. This control mechanism was chosen to facilitate the convergence of the water liquids in the two tanks as quickly as possible to the corresponding required values. In addition, a collaborative optimization technique with several objectives is used to adjust the regulator parameters. The capability and efficiency of the suggested regulator is first investigated through computer simulation results and then confirmed by real-time control experimental results on the QTS based on dSPACE 1104 computation engine. The findings showed that the suggested OH-FO-T2F-PID regulator significantly outperformed both the optimized ADRC and the OH-FO-T1F-PID regulators. Specifically, it reduced the rising time by 17.02% and 95.21%, respectively, and the settling time by 25.13% and 74.28%. Additionally, the designed OH-FO-T2F-PID regulator successfully eliminated the steady-state error and overshoot, enabling precise regulation of the QTS, and maintenance the liquid level at the desired set point under a wide range of working situations. The robustness of the recommended regulator is also studied by considering - 50% disturbance in the QTS parameters, and the findings showed that the OH-FO-T2F-PID regulator is less susceptible to variations in parameters.

Indexed as

dSPACE 1104 computation engineHybrid A-GWOCSO algorithmMulti-objective optimizationOptimal hybrid fractional order type 2 fuzzy PID regulatorQuadruple tank system (QTS)

Identifiers

PMID40038443
PMCPMC11880316

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.