Design of Intelligent Acceleration Schedules for Extending the Life of Aircraft Engines

Aircraft engine controllers are designed and operated to provide desired performance and stability margins. This paper addresses the relationship between acceleration action and engine component life usage. Based upon this relationship, an intelligent approach for designing acceleration schedules th...

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Bibliographic Details
Published in:IEEE transactions on human-machine systems 2007-09, Vol.37 (5), p.1005-1015
Main Authors: Chen, C.L.P., Ten-Huei Guo
Format: Article
Language:English
Subjects:
Acceleration
Aerospace engines
Aircraft engines
Aircraft propulsion
Algorithms
Applied sciences
Computer science
control theory
systems
Computer simulation
Control system synthesis
Control theory. Systems
Costs
Damage
Engines
Exact sciences and technology
Fatigue
Mathematical models
Monte Carlo methods
Physics computing
Probability
Processor scheduling
Safety
Schedules
Stability
Studies
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Summary:Aircraft engine controllers are designed and operated to provide desired performance and stability margins. This paper addresses the relationship between acceleration action and engine component life usage. Based upon this relationship, an intelligent approach for designing acceleration schedules that provide proper tradeoffs between performance and engine life usage is proposed. The benefit of this approach is that it is expected to maintain safety while minimizing the overall operating costs. With the advances of computer technology, engine operation models, and damage physics, it is necessary to reevaluate the control strategy for overall operating cost consideration. This paper uses the thermal--mechanical fatigue (TMF) of a critical component to demonstrate how an intelligent acceleration algorithm can drastically reduce the engine life usage with minimum sacrifice in performance. We have modeled and calculated the probability of failure due to TMF damage. A Monte Carlo simulation is also performed to evaluate the likelihood of engine damage accumulation under various operating conditions. By means of genetic search algorithms, optimal acceleration schedules can be obtained with multiple constraints. The simulation results show that a selected best acceleration schedule can provide a significant life saving in selected engine components.
ISSN:1094-6977
2168-2291
1558-2442
2168-2305
DOI:10.1109/TSMCC.2007.902823