Model reference adaptive control for aeroengine

Aeroengine is a kind of multi-variable controlled object with strong nonlinearity and coupling, which is usually difficult to be described by precise mathematical models. Aiming at the condition that near the aeroengine´s stable operating points, model parameters are unknown but unchanged with time, this thesis designs aeroengine model reference adaptive control system based on the Lyapunov stability theory, by choosing Lyapunov function, in the case of keeping the system stable, the adaptive parameter adjustment law is obtained. Last but not least, this thesis proposes improvement measures to deal with the shaking rotating speed problem of the aeroengine model reference adaptive control system as the use of the Lyapunov method. By simulation experiments, the results prove that the designed control system can realize adaptive state tracking control of aeroengine, and as well meet the performance index requirements for the aeroengine´s control system.