Hybrid robust fault detection and isolation of satellite reaction wheel actuators

Abstract

In this paper, a combined robust fault detection and isolation scheme is studied for satellite system subject to actuator faults, external disturbances, and parametric uncertainties. The proposed methodology incorporates a residual generation module, including a bank of filters, into an intelligent residual evaluation module. First, residual filters are designed based on an improved nonlinear differential algebraic approach so that they are not affected by external disturbances. The residual evaluation module is developed based on the suggested series and parallel forms. Further, a new ensemble classification scheme defined as blended learning integrates heterogeneous classifiers to enhance the performance. A wide range of simulations is carried out in a high-fidelity satellite simulator subject to the constant and time-varying actuator faults in the presence of disturbances, manoeuvres, uncertainties, and noises. The obtained results demonstrate the effectiveness of the proposed robust fault detection and isolation method compared to the traditional nonlinear differential algebraic approach.

Keywords:

• Robust fault detection and isolation
• reaction wheels
• blended learning
• series and parallel fault detection and isolation forms
• satellite attitude control system

Disclosure statement

No potential conflict of interest was reported by the author(s).

Correction Statement

This article has been corrected with minor changes. These changes do not impact the academic content of the article.

Additional information

Notes on contributors

H. Abbasi Nozari

Hasan Abbasi Nozari was born in Sari, Iran. He received his B.Sc. degree in Computer Engineering in 2007 from the Mazandaran University of Science and Technology, and M.Sc. degree in Mechatronics Engineering in 2010 from the Science and Research University of Tehran. Currently, he is pursuing toward Ph.D. degree in Control Engineering at the Babol Noshirvani University of Technology. His research interests include fault diagnosis of dynamic processes, fault tolerant control systems, fractional-order systems, and system identification.

S. J. Sadati Rostami

Seyed Jalil Sadati Rostami was born in Behshahr, Iran, in 1979. He received the M.Sc. degree from Ferdowsi University of Mashhad in 2005, and the Ph.D. degree in control engineering from the University of Mazandaran, Iran, in 2011. From 2011, he is an Assistant Professor of Control Engineering with the Department of Electrical and Computer Engineering, Babol Noshirvani University of Technology. His research interests are fractional-order control, time delay systems, nonlinear control, adaptive systems, and model predictive control.

Paolo Castaldi

Paolo Castaldi received the Master Degree cum laude in Electronic Engineering and the Ph.D in System Engineering from UNIBO. He is Associate Professor at Department of Electric, Electronic and Information Engineering of the University of Bologna “Guglielmo Marconi”. Paolo Castaldi published a research book, several book chapters and more than 160 refereed journal and conference papers. He has been plenary speaker, organizer, and program chair. He is vice-chair of IFAC Technical Committee on Aerospace. He has been coordinator and member of several research and industrial projects involving experimental aircraft. Since 2015 he is Associated Editor of Control Engineering Practice and Aerospace Engineering. He has the license as Private Pilot (PPL) and for piloting drones till 24 kg and has been coordinator of several Permit to Fly procedures. His research interests include Fault Diagnosis and Fault Tolerant Control, Nonlinear Geometric Approach Theory, Fractional System Control, Adaptive Filtering, Neural Network Intelligent Flight Control, System Identification. These techniques have been applied to UAV and experimental aircraft, industrial processes, power plants and renewable energy conversion systems.

Silvio Simani

Silvio Simani was born in Ferrara in 1971. He received his Laurea degree (cum laude) in Electronic Engineering from the Department of Engineering at the University of Ferrara, Italy, in 1996, and was awarded the Ph.D. in Information Science (Automatic Control) at the Department of Engineering of the University of Ferrara and Modena, Italy, in 2000. Since February 2002 he was Assistant Professor at the Department of Engineering of the University of Ferrara, and since December 2018 he has been Professor of Automatic Control at the same Department. Since 1999 he is member of the IFAC Technical Committee 6.4 on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS) and he has been appointed as vice-chair of the same Technical Committee in 2018. He is member of the IEEE Society from 1999, and he became Senior Member IEEE in 2016. Prof. Simani has published more than 260 refereed journal and conference papers, several book's chapters, and four monographs. His research interests include 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.