Abstract
The paper discusses the problems of troubleshooting in onboard computing and control systems. Herewith the approaches based on the methods of functional and test diagnostics are analyzed. Both approaches involve the introduction of redundancy, which in fact is a dynamic software model of the systems being diagnosed. In the case of functional diagnostics, a full-fledged model is used that forms the basis for diagnostic observers; in the case of test diagnostics, it is a simplified event model.
Highlights
The problems of diagnosis occupy a significant place in the process of designing onboard computing of integration navigation complex and control systems [1, 2]
We propose an algorithm for synthesizing test diagnostics tools based on a parallel event model approach to solve the problem of detecting failures associated with violations in addressing intermodule exchanges in onboard distributed computing systems
Functional diagnosis of systems in the presence of model parameter uncertainties Below we examine the case of functional diagnostics, and the presentation focuses on the use of socalled state observers
Summary
The problems of diagnosis occupy a significant place in the process of designing onboard computing of integration navigation complex and control systems [1, 2]. The paper proposes an algorithm for synthesizing functional diagnostics tools on the basis of a bank of interval observers to solve the problem of searching for hardware faults in onboard control systems. Further discussion is devoted to the development of diagnostic tools based on a Bank of interval observers in order to improve the efficiency of solving the problem of troubleshooting in dynamic systems. Basing on these assumptions, it is required to synthesize the bank of Luenberger observers for the system (1), as well as the bank of interval observers {Oi}iN 1 , and compare the efficiency of solving the problem of fault search in both cases.
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