Special Issue "Fault Diagnosis, Fault-Tolerant Control and Their Applications to Aerospace and Mechatronic Systems"

A special issue of Actuators (ISSN 2076-0825). This special issue belongs to the section "Aircraft Actuators".

Deadline for manuscript submissions: 10 April 2023 | Viewed by 1086

Special Issue Editors

Department of Electric and Information Engineering, University of Bologna, 40136 Bologna, Italy
Interests: fault diagnosis; fault tolerant control; aircraft and spacecraft systems; energy conversion systems; adaptive filtering; system identification; fuzzy logic; neural networks; machine learning
Special Issues, Collections and Topics in MDPI journals
Department of Engineering, University of Ferrara, Via Saragat 1E., 44122 Ferrara, FE, Italy
Interests: fault diagnosis and fault tolerant control of linear and nonlinear dynamic processes; system modelling; identification and data analysis; linear and nonlinear filtering techniques; fuzzy logic and neural networks for modelling and control; as well as the interaction issues among identification; fault diagnosis; fault tolerant and sustainable control; these techniques have been applied to power plants; renewable energy conversion systems; aircraft and spacecraft processes
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is focused on fault diagnosis and isolation (FDI), fault-tolerant control (FTC), and their applications to aerospace and mechatronic systems and aims to present several novel methodologies and solutions to the design of FDI and FTC systems with application in aerospace and mechatronic systems.

There are plenty of mechatronics-focused projects on aircraft, rockets, space robots, astronomical instruments or indeed spacecraft. Control theory and fault diagnosis are important areas in the aerospace field, and there are lots of mechatronic devices on aircraft and spacecraft that could be affected by faults.

The fact that these mechanisms are in an aerospace system often entails new challenges related to the presence of disturbances, robustness requirements to avoid loss of life or equipment, etc.

These aspects require the FDI/FTC methodology applied in the aerospace engineering a precision beyond what is required in a more standard discipline and application characterized by the presence of mechatronic components.

Therefore, the further demand for availability and fault tolerance is generally high. It is also necessary to design strategies that can maintain desirable performances. This Special Issue will focus on current research in the field, with an emphasis on practical application in simulated and real examples, which should provide an overall view of current and future developments in this area.

Dr. Paolo Castaldi
Dr. Simani Silvio
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. Actuators is an international peer-reviewed open access monthly 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 1800 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.


  • health monitoring
  • fault diagnosis
  • fault-tolerant control
  • reliability and safety
  • aircraft and spacecraft
  • mechatronic systems
  • dynamic simulation of the on-board system
  • prognostics
  • progressive faults

Published Papers (1 paper)

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Robust Attitude Control of an Agile Aircraft Using Improved Q-Learning
Actuators 2022, 11(12), 374; https://doi.org/10.3390/act11120374 - 12 Dec 2022
Cited by 2 | Viewed by 817
Attitude control of a novel regional truss-braced wing (TBW) aircraft with low stability characteristics is addressed in this paper using Reinforcement Learning (RL). In recent years, RL has been increasingly employed in challenging applications, particularly, autonomous flight control. However, a significant predicament confronting [...] Read more.
Attitude control of a novel regional truss-braced wing (TBW) aircraft with low stability characteristics is addressed in this paper using Reinforcement Learning (RL). In recent years, RL has been increasingly employed in challenging applications, particularly, autonomous flight control. However, a significant predicament confronting discrete RL algorithms is the dimension limitation of the state-action table and difficulties in defining the elements of the RL environment. To address these issues, in this paper, a detailed mathematical model of the mentioned aircraft is first developed to shape an RL environment. Subsequently, Q-learning, the most prevalent discrete RL algorithm, will be implemented in both the Markov Decision Process (MDP) and Partially Observable Markov Decision Process (POMDP) frameworks to control the longitudinal mode of the proposed aircraft. In order to eliminate residual fluctuations that are a consequence of discrete action selection, and simultaneously track variable pitch angles, a Fuzzy Action Assignment (FAA) method is proposed to generate continuous control commands using the trained optimal Q-table. Accordingly, it will be proved that by defining a comprehensive reward function based on dynamic behavior considerations, along with observing all crucial states (equivalent to satisfying the Markov Property), the air vehicle would be capable of tracking the desired attitude in the presence of different uncertain dynamics including measurement noises, atmospheric disturbances, actuator faults, and model uncertainties where the performance of the introduced control system surpasses a well-tuned Proportional–Integral–Derivative (PID) controller. Full article
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