Sliding Modes for Fault Tolerant Control

Abstract

As modern technological systems increase in complexity, their corresponding control systems become more and more sophisticated. In order to increase the reliability, which is crucial topic in industrial applications. The main focus of this chapter will be on the design of fault tolerant control (FTC) strategy. Therefore, FTC has found extensive applications in multiple domains including mechanical engineering, electrical engineering, control engineering, biomedical engineering, and micro-engineering. This chapter gives a brief overview in the field of FTC (definitions, practical requirements and classification). On the other hand, give a brief introduction to the concept of sliding mode control and examine its properties. Sliding surface design and tracking requirements are also discussed. In many ways, this chapter demonstrates the true theoretical and applications depth to which the sliding mode control paradigm has been developed today in the fields of FTC. Also, highlights the benefits and give discussions of some FTC approaches based SMC. At the end, in order to introduce the concept and to prove the effectiveness of the proposed approach a permanent magnet synchronous motor (PMSM) systems case study will be presented.

A Design and Implementation of a New Control Based on Petri Nets for Three Phase PWM-Rectifier

“…It focuses on the process that governs how the components and system change over time. In the literature, there are many applications of dynamic modeling in machine learning, deep learning, computational intelligence, control systems, robotics, sensor network and cyber-security (Ben Smida et al, 2018;Lamamra et al, 2017;Grassi et al, 2017;Mohanty et al, 2021 ;Ghoudelbourk et al, 2022Ghoudelbourk et al, , 2021Ghoudelbourk et al, , 2016Mekki et al, 2015;Dudekula et al, 2023 ;Hussain et al, 2023 ;El-Shorbagy et al, 2023 ;Ramadan et al, 2022 ;Ashfaq et al, 2022a,b;Waleed et al, 2022 ;Jothi et al, 2022Jothi et al, , 2020Jothi et al, , 2019Jothi et al, , 2013Lavanya et al, 2022 ;Inbarani et al, , 2018Inbarani et al, , 2014Inbarani et al, , 2015Boulmaiz et al, 2022 ;Fouad et al, 2021 ;Elfouly et al, 2021 ;Khan et al, 2021 ;Aslam et al, 2021 ;Nasser et al, 2021 ;Hussien et al, 2020 ;Kumar et al, 2019Kumar et al, , 2015aMjahed et al, 2020 ;Banu et al, 2017 ;Ben Abdallah et al, 2016Emary et al, 2014a,b;Anter et al, 2015Anter et al, , 2013Elshazly et al, 2013a,b ;Azar et al, 2013…”

Fuzzy Gains-Scheduling of an Integral Sliding Mode Controller for a Quadrotor Unmanned Aerial Vehicle

“…The derivative of this above function is negative when the following expression, called the reaching condition [1], is checked: (14) For the quadrotor's altitude stabilization, we consider the following reduced model of such a flight dynamics: 11 1…”

Adaptive chaos control of a humanoid robot arm: a fault-tolerant scheme

“…In addition to control schemes developed specifically to be fault-tolerant, some existing control methods are implicitly fault-tolerant including some sliding-mode schemes (Edwards et al, 2000;Yan and Edwards, 2007). According to Mekki et al (2015), sliding-mode controllers can effectively deal with unmatched uncertainties and structural deficiencies. A direct consequence of this property is that it helps reduce the effect of actuator faults or failures.…”