A Soar-based Planning Agent for Gas-Turbine Engine Control and Health Management

Intelligent Agent technologies constitute an important stream of research in the Artificial Intelligence community. Their characteristics make them suitable for a variety of applications. In this paper, we investigate the use of Intelligent Agent technology in the field of Gas-Turbine Engine Control and Health Management. We present and test a Planning agent, developed to choose and apply appropriate investigative and reversionary action plans, which are useful to correctly assess and mitigate faults. The agent is based on Soar technology and tests are performed using a previously developed Intelligent Agent architecture. The Planning agent uses a simple FMECA database and results show it is capable of choosing the correct action plans when presented with different failure cases.