Regular Article

Diagnostic of electromechanical system by fault-tolerant-control using piezoelectric sensors^★

¹ Laboratory of Physics of Condensed Matter, Faculty of Sciences Ben M'Sik, Hassan II University, Casablanca, Morocco
² LAS Laboratory of Setif, Mohamed el Bachir el Ibrahimi BBA University, Setif, Algeria
³ Advanced electronics and telecommunications laboratory, Mohamed el Bachir el Ibrahimi BBA University, Setif, Algeria
⁴ BGIM Laboratory, Higher Normal School (ENS), Hassan II University, Casablanca, Morocco
⁵ REMTEX Laboratory, Higher School of Textile and Clothing Industries (ESITH), Casablanca, Morocco

^* e-mail: khadija.smp.2016@gmail.com

Received: 1 June 2020
Received in final form: 14 July 2020
Accepted: 21 August 2020
Published online: 23 September 2020

Abstract

Automated systems are fault-prone. The fault diagnosis via sensor and actuator piezoelectric is very important for the stability of the vibration control system and fault-tolerant control technology. Faults in process automation frequently lead to unexpected reactivity and the closure of a controlled plant, and the effects could be damage to technical parts of the plant, employees or the ecosystem. Fault-tolerant control is the combination between diagnostics and control techniques to cleverly handle faults. It provides improved availability and minimized safety risk. This article provides an overview of recent approaches to study and analyze the structure and other fundamental characteristics of an automated system. Thus, the starting point of this study was to investigate the Fault Tolerant Control strategy of an asynchronous machine. Ultimately, the aim is to achieve a disturbance- and/or fault-tolerant control, improving the functional reliability of this system. A decision-making device based on a piezoelectric (PZT) sensor and actuator has been developed to produce an opposite displacement to the vibratory displacement. It ensures the various reconfigurations of the control, adapted to the vibration disturbance acting on the system and modifying its characteristics. This will result in vibration attenuation. Finally, the advantages of this method are analyzed, and the fault diagnosis results with the best identification effect are determined.