Generalized state space average modeling method based on aircraft electric power system dynamic characteristics

A state space averaging, power system technology, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as slow simulation speed, neglect of system dynamic characteristics, and complex time-domain simulation modeling methods

Inactive Publication Date: 2015-09-16
CIVIL AVIATION UNIV OF CHINA
View PDF3 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In short, the time-domain simulation modeling method that can describe the detailed dynamic process inside the system is relatively complex and the simulation speed is slow; while the relatively simple state-space modeling method ignores the dynamic characteristics of the system

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Generalized state space average modeling method based on aircraft electric power system dynamic characteristics
  • Generalized state space average modeling method based on aircraft electric power system dynamic characteristics
  • Generalized state space average modeling method based on aircraft electric power system dynamic characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0086] figure 1 It is a flow chart of the implementation of the generalized state-space average model of the aircraft power system.

[0087] This embodiment establishes its generalized state space average model based on a certain multi-electric aircraft power system, figure 2 It is a structural diagram of the power system of a typical multi-electric aircraft.

[0088] figure 2 Among them, the power system includes synchronous generators, batteries, power distribution systems include transformer rectifiers, inverters, constant power, constant voltage, constant current control choppers, lines, onboard electrical equipment including induction motors, resistive loads .

[0089] 1) By analyzing the structure and control characteristics of the power system, power distribution system, and airborne electrical equipment, the time-varying nonlinear differential equations for each link of the aircraft power system power system, power distribution system, and airborne electrical equi...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a generalized state space average modeling method based on aircraft electric power system dynamic characteristics. The method includes the steps that time-variant nonlinear differential equations of all links of an aircraft electric power system are built according to an aircraft electric power system structure; state variables are determined according to the differential equations in the above step, Fourier decomposition is conducted on the state variables, and the state variables described by the Fourier coefficients are obtained; the obtained Fourier coefficient state variables are substituted into the differential equations, and a generalized state space average model of the aircraft electric power system is obtained; the dynamic characteristics of different time scales of the aircraft electric power system are analyzed according to different flying working conditions of an aircraft; the generalized state space average model of the aircraft electric power system is simplified according to the dynamic characteristics. The generalized state space average modeling method has the advantages that by means of the method, the operating working conditions and dynamic characteristics of the aircraft electric power system can be discriminated, a time domain model can be replaced in system analysis and design, the time domain model can be simplified into the state space average model in the steady state, good engineering accuracy is achieved, fast analysis ability is achieved as well, and the generalized state space average modeling method is suitable for the field of steady state and transient state analysis of different aircraft models.

Description

technical field [0001] The invention relates to a modeling method of an aircraft power system, in particular to a generalized state space average modeling method based on the dynamic characteristics of the aircraft power system, which can reflect different time periods of the aircraft power system by setting the order of the state variable of the Fourier coefficient Scale dynamics. Background technique [0002] In order to save energy, reduce costs and improve the performance of airborne systems, modern aircraft increasingly use electric energy to replace hydraulic and pneumatic energy on traditional aircraft, that is, replace the mechanical, hydraulic and pneumatically driven loads directly driven by the engine with electric drives load. The concept of "More Electric Aircraft" thus proposed has become the mainstream trend in the development of the aircraft industry. With the development and maturity of more electric aircraft, the importance of aircraft power system in air...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
Inventor 杨占刚徐萌赵宏旭荆涛石旭东
Owner CIVIL AVIATION UNIV OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products