Abstract
Mainly in the context of system supervision, the proportional-integral observer (PIO) is discussed in this contribution with respect to different aspects, such as existence conditions, design methods, convergence behaviour, diagnostic purposes or applications. Additionally, this observer type is compared to the unknown-input observer (UIO). Both observer types have different control characteristics and regarding supervision the PIO features fault identification while the UIO features fault isolation. Fulfilling certain requirements, both types of linear observers can be designed as robust variable estimators for control and as robust residual generators for fault detection, isolation and identification (FDII) providing quasi-asymptotic (PIO) or structural (UIO) robustness with respect to unknown inputs for both design cases.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
