A Design Method of Aero-Engine Adaptive Controller Considering Uncertainty

Abstract

The invention belongs to the field of aero-engine control algorithm design, and provides an aero-engine adaptive controller design method considering uncertainty. Aiming at the multi-variable adaptive controller design under uncertainties such as performance degradation, manufacturing tolerance, and unmodeled dynamics of aero-engines, and including a new identification model selection mechanism, the reference model set on the track is tracked under the above premise. state, and meet the requirements of multi-variable control of aero-engine. At the same time, the design of the filter can deal with unknown parameters of more dimensions. In addition, since two performance indicators with different priorities are selected in the identification model selection mechanism, and the first-level indicators can better reflect the information of the system model, the transient performance of the system can also be improved. Finally, the Simulink simulation structure built by the present invention is convenient to add and modify identification models or change system parameters, and is suitable for simulation verification of other systems with unmodeled dynamics and affine terms.

Description

technical field [0001] The invention provides a design and verification method of an adaptive controller for aero-engine due to performance degradation, manufacturing tolerance and unmodeled dynamics, etc., and belongs to the field of aero-engine control algorithm design. Background technique [0002] Relying on the background of a certain type of aero-engine control system, the present invention designs and verifies a multi-variable adaptive controller that satisfies the system performance against the influence of performance degradation, manufacturing tolerance and unmodeled dynamics of the system in the aero-engine. [0003] Aero-engine is an important part of aviation aircraft, which greatly affects the performance and safety factors of aircraft. When the engine runs for a long time, its performance will gradually decline. In practice, it may cause the problem that the thrust of the engines on both sides of the aircraft does not match, causing the aircraft to yaw or othe...

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Problems solved by technology

In addition, regarding the selection of multi-identification models, existing studies mainly use performance indicators with forgetting factors as the basis for selecting identification models, but under this selection mechanism, the finite-time identification model constructed with filters is only used The real parameters of the system are reset to one of the fixed identification models whose parameters can be reset, and the unknown parameters of the system obtained are not associated with the selection mechanism of the identification model

At the same time, the performance index of the traditional identification model switching only considers the identification error at the current moment and the identification error accumulated in the previous period, but the accuracy of the identification model is not only reflected in the above-mentioned state error, but the derivative of the state is often better reflected. The information of the model, so the present invention proposes a performance index using the derivative term of the identification error, so as to better reflect the model information

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