Limit protection design in turbofan engine acceleration control based on scheduling command governor

Command Governor-Based Adaptive Control

Even though an important prerequisite for an adaptive controller is the ability to adapt fast in the face of large system uncertainties, fast adaptation with high-gain learning rates can be a serious limitation due to the fact that it can possibly yield to high-frequency oscillations especially during the transient system response. Therefore, achieving fast adaptation with low-gain learning rat...

Turbofan engine control design using robust multivariable control technologies

A unified robust multivariable approach to propulsion control design has recently been developed at National Aeronautics and Space Administration (NASA) Glenn Research Center (GRC). The critical elements of this unified approach are 1) a robust H-infinity control synthesis formulation; 2) a simplified controller scheduling scheme; and 3) a new approach to the synthesis of integrator windup prot...

Command Governor-Based Adaptive Control of an Autonomous Helicopter

This paper presents an application of a recently developed command governor-based adaptive control framework to a high-fidelity autonomous helicopter model. This framework is based on an adaptive controller, but the proposed command governor adjusts the trajectories of a given command in order to follow an ideal reference system (capturing a desired closed-loop system behavior) both in transien...

Rate-Based Model Predictive Control of Turbofan Engine Clearance

Multiplexed Predictive Control of a Large Commercial Turbofan Engine

Model predictive control is a strategy well-suited to handle the highly complex, nonlinear, uncertain, and constrained dynamics involved in aircraft engine control problems. However, it has thus far been infeasible to implement model predictive control in engine control applications, because of the combination of model complexity and the time allotted for the control update calculation. In this...