A Transition State Optimization Method for Variable Cycle Engine Based on Large-Scale Global Optimization Technology

A variable-cycle engine and global optimization technology, applied to machines/engines, computing models, mechanical equipment, etc., can solve problems not based on model characteristics, and achieve good portability and stable output

Active Publication Date: 2021-05-07
DALIAN UNIV OF TECH
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Problems solved by technology

At the same time, since the heuristic algorithm is not based on model characteristics and can solve the transition state optimization problem under different requirements by modifying the cost function, it has good portability

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  • A Transition State Optimization Method for Variable Cycle Engine Based on Large-Scale Global Optimization Technology
  • A Transition State Optimization Method for Variable Cycle Engine Based on Large-Scale Global Optimization Technology
  • A Transition State Optimization Method for Variable Cycle Engine Based on Large-Scale Global Optimization Technology

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Embodiment Construction

[0049] The embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings and technical solutions.

[0050] The schematic flow chart of the present invention is as figure 1 As shown, the specific steps are as follows:

[0051] Step 1: Global large-scale optimization technology to solve the transition state optimization problem of variable cycle engines

[0052] The embodiment of the present invention takes typical working condition height H=0, Mach number Ma=0, and throttle lever signal PLA rising from 40 steps to 50 at 60s as an example. A good variable cycle engine simulink module for transition state optimization.

[0053] The module provides 23 inputs and 78 outputs, of which 6 adjustable parts control the input volume, which needs to be controlled within a certain range, respectively:

[0054] 1) The Angle_CompressVane of the guide vane of the high-pressure compressor is 0° when it is fully opened, and about...

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Abstract

The invention provides a transition state optimization method for a variable-cycle engine based on large-scale global optimization technology, and belongs to the technical field of aero-engine transition state control optimization. By transforming the transition state control optimization problem into a large-scale global optimization problem, the competitive particle swarm optimization algorithm is used to optimize the single-step incremental sequence of the control input, which overcomes the traditional SQP algorithm's dependence on model characteristics, slow convergence speed and easy trapping The disadvantage of the local optimal solution is that it has certain speed and portability.

Description

technical field [0001] The invention belongs to the technical field of aero-engine transition state control optimization, and in particular relates to a variable-cycle engine transition state optimization method based on large-scale global optimization technology. Background technique [0002] An aero engine is a highly complex and sophisticated thermodynamic machine. The difference between a variable cycle engine and a traditional aero engine is that the control components can be changed, and the geometric changes can be used to improve the internal components of the engine and the relationship between the engine and the intake and exhaust systems. The matching between them enables the engine to better take into account the needs of the aircraft's power system in different flight states, so that the engine can perform better in subsonic, transonic, supersonic and hypersonic conditions. However, there are up to 6 adjustable parameters in the variable cycle engine, and the in...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04G05B13/02F02C9/00G06N3/00
CPCF02C9/00G05B13/0265G05B13/042G06N3/006
Inventor 马艳华杜宪孙希明洪伟赵旭东
Owner DALIAN UNIV OF TECH
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