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An adaptive tracking observer for failure-detection systems
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Sidar, M. |
| Copyright Year | 1982 |
| Description | The design problem of adaptive observers applied to linear, constant and variable parameters, multi-input, multi-output systems, is considered. It is shown that, in order to keep the observer's (or Kalman filter) false-alarm rate (FAR) under a certain specified value, it is necessary to have an acceptable proper matching between the observer (or KF) model and the system parameters. An adaptive observer algorithm is introduced in order to maintain desired system-observer model matching, despite initial mismatching and/or system parameter variations. Only a properly designed adaptive observer is able to detect abrupt changes in the system (actuator, sensor failures, etc.) with adequate reliability and FAR. Conditions for convergence for the adaptive process were obtained, leading to a simple adaptive law (algorithm) with the possibility of an a priori choice of fixed adaptive gains. Simulation results show good tracking performance with small observer output errors and accurate and fast parameter identification, in both deterministic and stochastic cases. |
| File Size | 1109888 |
| Page Count | 36 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19820016331 |
| Archival Resource Key | ark:/13960/t1vf1nr5t |
| Language | English |
| Publisher Date | 1982-04-01 |
| Access Restriction | Open |
| Subject Keyword | Aircraft Stability And Control Fault Tolerance Algorithms Tracking Filters Stochastic Processes Adaptive Filters Feedback Control Kalman Filters Detection Optimization Failure Kalman-schmidt Filtering Ntrs Nasa Technical Reports ServerĀ (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Technical Report |