Control system and control method for mining acceleration potential of aero-engine

Abstract

The invention discloses a control system and a control method for mining the acceleration potential of an aero-engine. The control system comprises the aero-engine, an optimization controller, a full authority digital electronic controller and an engine non-linearity real-time mathematical model, wherein a sensor used for testing the rotating speed, temperature and pressure of the engine is installed on the aero-engine, and the full authority digital electronic controller controls the aero-engine through an electromagnetic valve component. On the basis of avoiding model error brought by linearization treatment of an engine model, compared with the existing control algorithm at present, the control method disclosed by the invention has the advantages that after a designed optimizing control algorithm introduces security constraints on the basis of ensuring the optimizing control effect, so that the working security of the engine in the acceleration process can be greatly improved; compared with the traditional control method, the control method disclosed by the invention can be used for avoiding the linearization error of the engine model, and greatly improving the confidence coefficient of the system optimization effect.

Description

technical field [0001] The invention belongs to the technical field of aero-engine acceleration control, and relates to an aero-engine acceleration process performance optimization control system, in particular to a control system and a control method for tapping the acceleration potential of an aero-engine. Background technique [0002] Today, high-performance military fighters have higher and higher requirements on the mobility of the engine, which objectively puts forward higher requirements on the engine acceleration control system. During the engine acceleration process, if the engine thrust can be increased to the maximum in the shortest possible time, the aircraft will have better maneuverability and thus gain better combat advantages. [0003] Aeroengine is an extremely complex thermomechanical system, which has the characteristics of strong nonlinearity, multi-variables, and strong coupling. With the development of aero-engine technology, the working range of aero-...

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Problems solved by technology

[0006] (1) Among these methods, the outstanding advantages of the linear programming method and the SQP algorithm are that the required calculation amount is small and the real-time performance is good. However, when using these methods, it is necessary to use similar theory to linearize the engine in blocks within the entire flight envelope. The nonlinear mathematical model of the aeroengine model causes linearization errors, resulting in poor accuracy

In addition, these two methods are very sensitive to the initial solution. If the initial solution is not set properly, it is easy to cause the algorithm to fall into a local optimal solution or even fail to converge.

[0007] (2) When using intelligent algorithms such as genetic algorithm, there is no need to linearize the mathematical model of the engine and its optimization effect is good, but the disadvantage of this type of intelligent algorithm is that it needs a lot of calculations to converge to the final solution, so its calculation efficiency is low and its real-time performance is poor

[0008] In summary, there is no online optimization control for aero-engine acceleration, which can not only avoid the model error caused by the linearization of the engine model, but also has strict global convergence ability, is not sensitive to the initial solution, and has high optimization efficiency (algorithm real-time can meet the actual application requirements) and other characteristics of the optimization algorithm

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