Robust Control of Turbine Engines Using Distributed Networks with Multiple Time Delays

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Abstract
Industry is moving toward replacing the current centralized approach to turbine engine control with a distributed approach, using digital communications for feedback instead of point-to-point analog communications. Much of the research in this area is lacking the inclusion of multiple delays and sampled-data effects, which result from distributed sensors and actuators with digital communication. This paper presents two novel structured robust stability bounds, which directly consider these underappreciated issues. These theorems also differ from most existing formulations by considering uncertainty in the continuous-time plant model and how sampling converts it into a discrete-time closed-loop system. In addition, this paper improves the modeling technique for multiple delays, reducing the required number of states for networked control systems. From here, control logic based on a dynamic compensator and a state estimator are developed using the robust stability theorems. A control optimization process is given to increase the robust stability bounds. Provided examples demonstrate the importance of correctly modeling the delay and the control design with an aircraft engine.
Funding Information
  • Dayton Area Graduate Research Institute (RY2-OSU-15-7)

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