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Practical Diagnosis and Fault-Tolerant Control of Energy Systems: Towards a Sustainable Transition

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A: Sustainable Energy".

Deadline for manuscript submissions: closed (5 January 2023) | Viewed by 6901

Special Issue Editors

Prof. Dr. Ahmed Hafaifa

E-Mail Website
Guest Editor
Applied Automation and Industrial Diagnostic Laboratory, University of Djelfa, Djelfa 17000 DZ, Algeria
Interests: automation systems; modeling and control; reliability engineering; diagnostics and fault detection and isolation; sustainable renewable energy solutions; intelligent systems; fuzzy and neural networks
Dr. Obaid S. Alshammari

E-Mail Website
Guest Editor
Electrical Engineering department, University of Hail, Hail, Saudi Arabia
Interests: control systems; Intelligent systems
Dr. Abdelhamid Iratni

E-Mail Website
Guest Editor
Electrical Engineering Department, Faculty of Science and Technology, University of Bordj Bou Arreridj, El Anceur 34030 DZ, Algeria
Interests: electrical engineering; nonlinear control; nonlinear filtering; modeling and simulation; control systems

Special Issue Information

Dear Colleagues,

The practice of monitoring and maintaining the energy systems installations is an essential activity in the search for better performance in terms of their quality, maintainability, availability, and safety. Hence, the governance of energy systems (conventional and renewable) is essential for their monitoring and for minimization of the associated energy losses. This Special Issue aims to present the developments and solutions brought by the emergence of new technologies, based on the analysis of big data and artificial intelligence, with the application of fault-tolerant control, to ensure good control of the behavior of these energy systems, even in the presence of faults. The aim is to promote scientific and technological transfer while ensuring sustainable development with innovative solutions and high-energy efficiency using applied automation tools. The topics of interest include, but are not limited to, the following:

  • Robust fault-tolerant control strategy
  • Diagnostic decision making
  • Digital twin and IoT technology
  • Energy storage and conversion systems
  • Failure analysis and fault diagnosis and prognosis
  • Fault-tolerant control application (electric vehicles, electrical machines, power converter)
  • Integrated fault estimation
  • Intelligent fault-tolerant control strategy
  • Intelligent data acquisition
  • Machine learning and multi-agent systems
  • Modeling and identification
  • Monitoring and observer-based fault-tolerant systems
  • Reliability and maintenance engineering
  • Sustainable energy system (solar, wind, biomass, hydraulic, and hybrid)
  • System reconfiguration
  • Tracking control

Prof. Dr. Ahmed Hafaifa
Dr. Obaid S. Alshammari
Dr. Abdelhamid Iratni
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • fault-tolerant control
  • decision making
  • monitoring
  • observer
  • diagnosis
  • prognosis
  • modeling and identification
  • energy storage
  • energy conversion
  • digital twin and IoT technology

Published Papers (3 papers)

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Research

14 pages, 3641 KiB  
Article
A Novel Single-Turn Permanent Magnet Synchronous Machine for Electric Aircraft
by Zeyu Cheng, Zhi Cao, John T. Hwang and Chris Mi
Energies 2023, 16(3), 1041; https://doi.org/10.3390/en16031041 - 17 Jan 2023
Cited by 2 | Viewed by 1448
Abstract
This paper proposes a novel multi-phase single-turn permanent magnet synchronous motor (MSPMSM) to meet the stringent requirements of electric aircraft, such as high power density, high torque, and low mass and volume. The MSPMSM features a unique single-turn winding configuration, which can reduce [...] Read more.
This paper proposes a novel multi-phase single-turn permanent magnet synchronous motor (MSPMSM) to meet the stringent requirements of electric aircraft, such as high power density, high torque, and low mass and volume. The MSPMSM features a unique single-turn winding configuration, which can reduce the coil overhang, increase the power density and torque, and reduce the weight of the motor in conventional multi-turn motors. The proposed MSPMSM is studied by the finite element method (FEM) and compared to a conventional PMSM with the same geometry and PM usage. The performance comparison results under different load conditions show that the proposed MSPMSM has higher torque and power density than the conventional motor. Full article
(This article belongs to the Special Issue Practical Diagnosis and Fault-Tolerant Control of Energy Systems: Towards a Sustainable Transition)
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21 pages, 3122 KiB  
Article
Observer-Based Robust Fault Predictive Control for Wind Turbine Time-Delay Systems with Sensor and Actuator Faults
by Sofiane Bououden, Fouad Allouani, Abdelaziz Abboudi, Mohammed Chadli, Ilyes Boulkaibet, Zaher Al Barakeh, Bilel Neji and Raymond Ghandour
Energies 2023, 16(2), 858; https://doi.org/10.3390/en16020858 - 11 Jan 2023
Cited by 13 | Viewed by 1588
Abstract
This paper presents a novel observer-based robust fault predictive control (OBRFPC) approach for a wind turbine time-delay system subject to constraints, actuator/sensor faults, and external disturbances. The proposed approach is based on an augmented state-space representation that contains state-space variables and estimation errors. [...] Read more.
This paper presents a novel observer-based robust fault predictive control (OBRFPC) approach for a wind turbine time-delay system subject to constraints, actuator/sensor faults, and external disturbances. The proposed approach is based on an augmented state-space representation that contains state-space variables and estimation errors. The proposed augmented representation is then used to synthesize a robust predictive controller. In addition, an observer is developed and used to estimate both state variables and actuator/sensor faults. To ensure that the proposed approach has disturbance rejection capabilities, the disturbance estimates were merged with the prediction model. In addition, the disturbance rejection capabilities and fault tolerance were insured by formulating the control process as an optimization problem subject to constraints in terms of linear matrix inequalities (LMIs). As a result, the controller gains are acquired by solving an LMI problem to guarantee input-to-state stability in the presence of sensor and actuator faults. A simulation example is conducted on a nonlinear wind turbine (1 MW) model with 3 blades, a horizontal axis, and upwind variable speed subject to actuator/sensor faults in the pitch system. The results demonstrate the ability of the proposed method in dealing with nonlinear systems subject to external disturbances and keeping the control performance acceptable in the presence of actuator/sensor faults. Full article
(This article belongs to the Special Issue Practical Diagnosis and Fault-Tolerant Control of Energy Systems: Towards a Sustainable Transition)
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19 pages, 6328 KiB  
Article
Fault Diagnosis of Induction Motor Using D-Q Simplified Model and Parity Equations
by Marco Antonio Rodriguez-Blanco, Victor Golikov, René Osorio-Sánchez, Oleg Samovarov, Gerardo Ortiz-Torres, Rafael Sanchez-Lara and Jose Luis Vazquez-Avila
Energies 2022, 15(22), 8372; https://doi.org/10.3390/en15228372 - 9 Nov 2022
Viewed by 1767
Abstract
Induction motors are the horsepower in the industrial environment, and among them, 3-phase induction motors (3PIMs) stand out for their robustness and standard 3-phase power supply. In the literature, there are many approaches to diagnose faults for the nonlinear 3PIM model, and the [...] Read more.
Induction motors are the horsepower in the industrial environment, and among them, 3-phase induction motors (3PIMs) stand out for their robustness and standard 3-phase power supply. In the literature, there are many approaches to diagnose faults for the nonlinear 3PIM model, and the vast majority focus on a single motor fault, although others address more faults but at the cost of greater computational complexity. In this sense, one of the methods with less computational load and early detection is the parity equation approach, which is based on analyzing the discrepancy between the input and output signals of a real process and a linear mathematical model to generate a residual signal, which contains important information about the fault and is obtained through a suitable selection of a weighting matrix W to isolate the faults as much as possible. The problem in this case study is that the 3PIM model is a nonlinear system. In this work, the fault detection method based on the parity equations approach applied in the 3PIM is explored using a simplified and proposed model of the 3PIM working in the D-Q synchronous reference frame, which is matched with the direct current motor model to guarantee both the existence of the parity space and to ensure a large set of detectable faults in the 3PIM parameters. Simulation and experimental results validate the proposed scheme and confirm a very simple set of residual equations to guarantee both early detection and a large set of detectable faults in: Stator and rotor resistances, stator and rotor inductances, as well as current, voltage, and speed sensors. Additionally, development of human machine interface (HMI) is implemented to validate the proposed scheme. Full article
(This article belongs to the Special Issue Practical Diagnosis and Fault-Tolerant Control of Energy Systems: Towards a Sustainable Transition)
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