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Aero-engine control device based on depth Q learning

A technology of aero-engine and control device, which is applied in the direction of engine control, engine components, machines/engines, etc., can solve the problems of little research on DQL application, and achieve the effect of improving control accuracy, response speed, and response speed

Active Publication Date: 2019-09-03
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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AI Technical Summary

Problems solved by technology

However, the application of DQL in aeroengine control is rarely studied

Method used

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  • Aero-engine control device based on depth Q learning
  • Aero-engine control device based on depth Q learning
  • Aero-engine control device based on depth Q learning

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Embodiment Construction

[0031] Aiming at the shortcoming of the slow response speed of the control technology in the prior art, the solution of the present invention is to apply DQL to aero-engine control, and use the deep Q-learning method to construct the engine controller, so that the engine's response speed is continuously improved as the learning time increases, Thereby improving the engine response speed.

[0032] The aero-engine control device based on deep Q learning of the present invention includes:

[0033] The acceleration and deceleration limit module is used to output the physical limit value of each parameter of the aero-engine;

[0034] The deep Q-learning controller is used to obtain the fuel flow of the aero-engine through the deep Q-learning method according to the control commands and feedback parameters and the physical limit values ​​of the parameters of the aero-engine, and adjust the fuel flow of the aero-engine according to the obtained fuel flow. input to control.

[0035]...

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Abstract

The invention discloses an aero-engine control device based on depth Q study and belongs to the technical field of system control and simulation in aviation space navigation boosting theory and engineering. The aero-engine control device control device comprises an acceleration and deceleration restricting module used for outputting physical limit values of all parameters of an aero-engine, and adepth Q learning controller, wherein the depth Q learning controller is used for obtaining the fuel oil flow of the aero-engine through the depth Q learning method according to the control instruction, feedback parameters and the physical limit values of all the parameters of the aero-engine, and controlling the fuel oil input of the aero-engine according to the obtained fuel oil flow. Compared with the prior art, the engine controller is constructed by adopting the depth Q learning method, the learning time of the engine is prolonged, the response speed is increased constantly, and thereforethe response speed of the engine is increased.

Description

technical field [0001] The invention belongs to the technical field of system control and simulation in aerospace propulsion theory and engineering, and specifically relates to an aero-engine control device based on deep Q learning. Background technique [0002] In some flight situations, such as landings, takeoffs or certain emergencies, the aircraft requires the engine to quickly respond from one operating state to another. The shorter the response time in the transient process, the better the response performance of the engine. How to improve the transient response performance of the engine is an important indicator of the design of the engine control system. The most commonly used method in engine control is Proportional Integral Derivative (PID), which has the characteristics of strong robustness, simple structure and convenient adjustment. However, for objects controlled by strong nonlinearity, multi-variable and time delay, the current popular PID control method cann...

Claims

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Application Information

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IPC IPC(8): F02C9/28
CPCF02C9/28F05D2270/709
Inventor 郑前钢房娟陈浩颖汪勇金崇文高远胡忠志张海波
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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