作者: Asok Ray , Devendra K. Tolani
DOI:
关键词: Health management system 、 Control system 、 Probabilistic logic 、 Robustness (computer science) 、 Dynamical systems theory 、 Control engineering 、 Anomaly detection 、 Engineering 、 Robust control 、 Propulsion
摘要: A comprehensive control and health management strategy for human-engineered complex dynamical systems is formulated achieving high performance reliability over a wide range of operation. Results from diverse research areas such as Probabilistic Robust Control (PRC), Damage Mitigating/Life Extending (DMC), Discrete Event Supervisory (DES) Control, Symbolic Time Series Analysis (STSA) Health Usage Monitoring System (HUMS) have been employed to achieve this goal. Continuous-domain modules at the lower level are synthesized by PRC DMC theories, whereas upper-level supervision based on DES theory. In approach, allowing different levels risk under flight conditions, system can desired trade off between stability robustness nominal performance. component damage incorporated in law reduce rate enhanced structural durability. The controller monitors and, mission requirements (e.g., metrics mitigation), switches among various lower-level controllers. core idea design framework where upper-level, mimics human intelligence makes appropriate decisions satisfy requirements, enhance Recently developed tools STSA used anomaly detection failure prognosis. deals with usage monitoring or operational part management, issue addressed tools. proposed decision architecture has validated two test-beds, simulating operations rotorcraft dynamics aircraft propulsion.