A novel robust fault detection method for induction motor rotor by using of unknown input observer. Issue 1 (1st January 2019)

• Record Type: Journal Article
• Authors: Soleymani, Reza; Nekoui, Mohammad Ali; Moarefianpour, Ali
• Is Part Of: Systems science & control engineering. Volume 7:Issue 1(2019)
• Page Start: 109
• Page End: 115
• Publication Date: 2019-01-01
• Subjects: Robust fault detection -- induction motor -- unknown input observer -- uncertainty -- residual signal; System theory -- Periodicals; Automatic control -- Periodicals; 003.05
• DOI: 10.1080/21642583.2019.1578296
• Languages: English
• ISSNs: 2164-2583

Abstract

ABSTRACT: The purpose of this paper is to provide a robust solution for fault detection in the induction motor. The structure of nonlinear unknown input observer is investigated for observer design in this paper. Recently, rotor defect is considered as the most important non-electric fault in induction motors. One of the challenges in rotor fault detection is the uncertainty in the mechanical load of the motor and the harmonics in the electric power. Accordingly, these cases are considered as disturbances for unknown input observer and their effects on the residual signal are eliminated. The results of the simulation show the performance of the observer to diagnose the induction motor rotor fault in different scenarios.