Open AccessDesign of Observer-Based Fault Detection Structure for Unknown Systems using Input–Output Measurements: Practical Application to BLDC Drive
Author(s) -
Mona A. Eissa,
R. R. Darwish,
A. M. Bassiuny
Publication year - 2019
Publication title -
power electronics and drives
Language(s) - English
Resource type - Journals
eISSN - 2543-4292
pISSN - 2451-0262
DOI - 10.2478/pead-2019-0017
Subject(s) - observer (physics) , control theory (sociology) , computer science , state observer , control engineering , fault detection and isolation , identification (biology) , engineering , artificial intelligence , nonlinear system , control (management) , actuator , physics , botany , quantum mechanics , biology
Industrial systems serve us in all areas of life. Faults may result in economic loss and wasting energy. Detecting the onset of faults, and determining their location are important engineering tasks. An important class of fault detection (FD) and diagnosis methods utilizes the mathematical model of the monitored system. But, the parameters required for mathematical modelling are limited or unavailable for the most real industrial engineering applications. Observer-based FD is one of the main approaches to FD and identification. At the same time, the traditional observer’s gain calculation required system model parameters. So, this article presents the design of a novel observer for FD purposes using the input–output measurements of the system with unknown parameters. This proposed observer’s design considers observer’s gain tuning, regardless of the mathematical representation of the plant. This the new feature that distinction our observer will facilitate the implementation of FD systems for many unknown parameters industrial systems. The effectiveness of the proposed observer is verified by experimental application to BLDC motor and compared with classical Luenberger observer. The experimental and comparison results prove feasibility and effectiveness of the proposed observer for FD purposes.