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Modern Control in Theory and Practice
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Modern Control in Theory and Practice

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Fault Diagnosis & Sensors".

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 11813

Special Issue Editor

Dr. Piotr Witczak

E-Mail Website
Guest Editor
Institute of Control and Computation Engineering,Faculty of Computer, Electrical and Control Engineering, University of Zielona Góra, Licealna 9, 65-417 Zielona Góra, Poland
Interests: fault tolerant control; fault diagnosis; system modeling; augmented reality; process optimization; tropical geometry; python; drones
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue would aim simultaneously at purely academic solutions as well as practical industrial approaches. Control theory, especially advanced fault-tolerant control or optimal control, is seen by researchers from a different angle than that from which the industry practitioners see it. Collecting papers from a variety of sources and with a variety of perspectives, and looking on the other side, will be beneficial for academic researchers and industry engineers as well. The main focus would be modern control methods, sensors, and actuators’ fault detection and diagnosis, either in simulations, laboratory stands or full-size plants. Reviews and surveys would also be welcome. Optimal control and hybrid methods have also recently been exploited. In addition, a hardware-centric point of view would be an interesting perspective, as many promising methods require much more computational power than is widely available in industrial plants. Therefore, optimization methods for existing approaches can also find a place in this Special Issue.   

The Special Issue aims to become a bridge between Sensors and Actuators, and both the authors and the journal themselves will benefit from the scopes of both journals. Modern control methods cover a variety of issues, starting from sensors’ fault diagnosis, through proper actuators’ control and fault diagnosis, to process discrepancies robustness. Control engineering clearly covers the scopes of both Journals.

You may choose our Joint Special Issue in Actuators and Sensors.

Dr. Piotr Witczak
Guest Editor

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. Sensors 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

  • Sensors’ and actuators’ fault diagnosis
  • Fault-tolerant control
  • Simulation vs. real-life experiments
  • Optimization methods
  • Optimal control
  • Hybrid methods
  • Analytical methods in control
  • Machine learning in control

Related Special Issue

Published Papers (4 papers)

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Research

18 pages, 3071 KiB  
Article
A Novel Prescribed-Performance-Tracking Control System with Finite-Time Convergence Stability for Uncertain Robotic Manipulators
by Anh Tuan Vo, Thanh Nguyen Truong and Hee-Jun Kang
Sensors 2022, 22(7), 2615; https://doi.org/10.3390/s22072615 - 29 Mar 2022
Cited by 11 | Viewed by 2097
Abstract
Through this article, we present an advanced prescribed performance-tracking control system with finite-time convergence stability for uncertain robotic manipulators. It is therefore necessary to define a suitable performance function and error transformation to guarantee a prescribed performance within a finite time. Following the [...] Read more.
Through this article, we present an advanced prescribed performance-tracking control system with finite-time convergence stability for uncertain robotic manipulators. It is therefore necessary to define a suitable performance function and error transformation to guarantee a prescribed performance within a finite time. Following the definitions mentioned, a modified integral nonlinear sliding-mode hyperplane is constructed from the transformed errors. By using the designed nonlinear sliding-mode surface and the super-twisting reaching control law, an advanced approach to the prescribed performance control was formed for the trajectory tracking control of uncertain robotic manipulators. The proposed controller exhibits improved properties, including estimated convergence speed and a predefined upper and lower limit for maximum overshoot during transient responses. Furthermore, the maximum allowable size of the control errors at the steady-state can be predefined and these errors will inevitably converge to zero within a finite time, while the proposed controller can provide a smooth control torque without the loss of its robustness. It is shown that the proposed control system is globally stable and convergent over a finite time. A comprehensive analysis of the effectiveness of the proposed control algorithm was already conducted via the simulation of an industrial robot manipulator. Full article
(This article belongs to the Special Issue Modern Control in Theory and Practice)
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18 pages, 5841 KiB  
Article
A Sensor Fault Detection Scheme as a Functional Safety Feature for DC-DC Converters
by Simon Schmidt, Jens Oberrath and Paolo Mercorelli
Sensors 2021, 21(19), 6516; https://doi.org/10.3390/s21196516 - 29 Sep 2021
Cited by 8 | Viewed by 2702
Abstract
DC-DC converters are widely used in a large number of power conversion applications. As in many other systems, they are designed to automatically prevent dangerous failures or control them when they arise; this is called functional safety. Therefore, random hardware failures such as [...] Read more.
DC-DC converters are widely used in a large number of power conversion applications. As in many other systems, they are designed to automatically prevent dangerous failures or control them when they arise; this is called functional safety. Therefore, random hardware failures such as sensor faults have to be detected and handled properly. This proper handling means achieving or maintaining a safe state according to ISO 26262. However, to achieve or maintain a safe state, a fault has to be detected first. Sensor faults within DC-DC converters are generally detected with hardware-redundant sensors, despite all their drawbacks. Within this article, this redundancy is addressed using observer-based techniques utilizing Extended Kalman Filters (EKFs). Moreover, the paper proposes a fault detection and isolation scheme to guarantee functional safety. For this, a cross-EKF structure is implemented to work in cross-parallel to the real sensors and to replace the sensors in case of a fault. This ensures the continuity of the service in case of sensor faults. This idea is based on the concept of the virtual sensor which replaces the sensor in case of fault. Moreover, the concept of the virtual sensor is broader. In fact, if a system is observable, the observer offers a better performance than the sensor. In this context, this paper gives a contribution in this area. The effectiveness of this approach is tested with measurements on a buck converter prototype. Full article
(This article belongs to the Special Issue Modern Control in Theory and Practice)
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19 pages, 1616 KiB  
Article
Linear Matrix Inequalities for an Iterative Solution of Robust Output Feedback Control of Systems with Bounded and Stochastic Uncertainty
by Andreas Rauh and Swantje Romig
Sensors 2021, 21(9), 3285; https://doi.org/10.3390/s21093285 - 10 May 2021
Cited by 8 | Viewed by 2790
Abstract
Linear matrix inequalities (LMIs) have gained much importance in recent years for the design of robust controllers for linear dynamic systems, for the design of state observers, as well as for the optimization of both. Typical performance criteria that are considered in these [...] Read more.
Linear matrix inequalities (LMIs) have gained much importance in recent years for the design of robust controllers for linear dynamic systems, for the design of state observers, as well as for the optimization of both. Typical performance criteria that are considered in these cases are either H2 or H∞ measures. In addition to bounded parameter uncertainty, included in the LMI-based design by means of polytopic uncertainty representations, the recent work of the authors showed that state observers can be optimized with the help of LMIs so that their error dynamics become insensitive against stochastic noise. However, the joint optimization of the parameters of the output feedback controllers of a proportional-differentiating type with a simultaneous optimization of linear output filters for smoothening measurements and for their numeric differentiation has not yet been considered. This is challenging due to the fact that the joint consideration of both types of uncertainties, as well as the combined control and filter optimization lead to a problem that is constrained by nonlinear matrix inequalities. In the current paper, a novel iterative LMI-based procedure is presented for the solution of this optimization task. Finally, an illustrating example is presented to compare the new parameterization scheme for the output feedback controller—which was jointly optimized with a linear derivative estimator—with a heuristically tuned D-type control law of previous work that was implemented with the help of an optimized full-order state observer. Full article
(This article belongs to the Special Issue Modern Control in Theory and Practice)
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24 pages, 6615 KiB  
Article
A Particle Filtering Approach for Fault Detection and Isolation of UAV IMU Sensors: Design, Implementation and Sensitivity Analysis
by Egidio D’Amato, Vito Antonio Nardi, Immacolata Notaro and Valerio Scordamaglia
Sensors 2021, 21(9), 3066; https://doi.org/10.3390/s21093066 - 28 Apr 2021
Cited by 21 | Viewed by 3430
Abstract
Sensor fault detection and isolation (SFDI) is a fundamental topic in unmanned aerial vehicle (UAV) development, where attitude estimation plays a key role in flight control systems and its accuracy is crucial for UAV reliability. In commercial drones with low maximum take-off weights, [...] Read more.
Sensor fault detection and isolation (SFDI) is a fundamental topic in unmanned aerial vehicle (UAV) development, where attitude estimation plays a key role in flight control systems and its accuracy is crucial for UAV reliability. In commercial drones with low maximum take-off weights, typical redundant architectures, based on triplex, can represent a strong limitation in UAV payload capabilities. This paper proposes an FDI algorithm for low-cost multi-rotor drones equipped with duplex sensor architecture. Here, attitude estimation involves two 9-DoF inertial measurement units (IMUs) including 3-axis accelerometers, gyroscopes and magnetometers. The SFDI algorithm is based on a particle filter approach to promptly detect and isolate IMU faulted sensors. The algorithm has been implemented on a low-cost embedded platform based on a Raspberry Pi board. Its effectiveness and robustness were proved through experimental tests involving realistic faults on a real tri-rotor aircraft. A sensitivity analysis was carried out on the main algorithm parameters in order to find a trade-off between performance, computational burden and reliability. Full article
(This article belongs to the Special Issue Modern Control in Theory and Practice)
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