Nonlinear PID control method for rear cabin pressure system of high-altitude platform

A pressure system and control method technology, which is applied to electric controllers, controllers with specific characteristics, measuring devices, etc., can solve the problem of being unable to dynamically adjust PID parameter values ​​to actively adapt to the nonlinear characteristics of the system and affect the dynamic adjustment characteristics of the rear cabin pressure and control accuracy, to meet the requirements of the high-altitude simulation test of the engine, to achieve good set value tracking effect and anti-interference ability, and to improve the quality of dynamic adjustment

Inactive Publication Date: 2021-02-12
AECC SICHUAN GAS TURBINE RES INST
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Purpose of the invention: The present invention provides a non-linear PID control method for the aft cabin pressure system of the high-altitude platform to solve the problem that the controller cannot dynamically adjust the PID parameter value to actively adapt to the change of the nonlinear characteristics of the system, which seriously affects the dynamic adjustment of the aft cabin pressure Problems with characteristics and control accuracy

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
  • Nonlinear PID control method for rear cabin pressure system of high-altitude platform
  • Nonlinear PID control method for rear cabin pressure system of high-altitude platform
  • Nonlinear PID control method for rear cabin pressure system of high-altitude platform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] In order to solve the technical problem that the conventional PID controller cannot dynamically adjust the parameters to actively adapt to the change of the nonlinear characteristics of the system in the high-altitude engine transition state test, which seriously affects the dynamic adjustment characteristics and control accuracy of the aft cabin pressure. The present invention proposes a nonlinear PID control method based on the extreme value search algorithm. By designing the corresponding nonlinear control law and parameter optimization criteria, the controller can automatically provide the matching PID controller parameters to realize the high-altitude platform The online dynamic adjustment of the parameters of the aft cabin pressure PID controller enhances the adaptability of the control system to the nonlinear adjustment object. This method does not depend on the specific mathematical model of the controlled object, and can realize online automatic optimization of ...

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 belongs to the technical field of aero-engine high-altitude simulation, and particularly relates to a high-altitude platform rear cabin pressure system nonlinear PID control method. Themethod comprises the steps: determining a pressure deviation e according to a pressure expected value and a pressure feedback value; establishing an optimization objective function J(theta) formed bythe pressure deviation, wherein theta is a controller parameter vector, theta=[Kp, Ki, Kd], Kp is a proportionality coefficient, Ki is an integral coefficient, Kd is a differential coefficient, J* isa target minimum value, J'' is a second-order differential of J(theta), and [theta]* is the optimal value of the controller parameter; utilizing an extreme value search algorithm to enable the optimization objective function J(theta) to reach a minimum value to determine a control parameter optimal value of the PID control algorithm; and forming a control quantity control pressure feedback value according to the optimal value of the control parameter of the PID control algorithm. According to the method, online self-tuning and self-optimizing can be achieved, the method does not depend on a mathematical model of a controlled object, the good set value tracking effect and anti-jamming capability are achieved, and the dynamic adjustment quality in the engine rapid transition state test can be effectively improved.

Description

technical field [0001] The invention belongs to the technical field of high-altitude simulation of aero-engines, and in particular relates to a nonlinear PID control method for a rear cabin pressure system of a high-altitude platform. Background technique [0002] The aero-engine high-altitude simulation test bench is a large-scale ground equipment for testing and evaluating the high-altitude working performance of aero-engines. It undertakes the test tasks of aero-engines from design to finalization under various flight environmental conditions, and plays a vital role in the technical development of aero-engines. role. The flight altitude simulation system (that is, the aft cabin pressure adjustment system that simulates the engine flight altitude) is the key equipment for the engine flight altitude simulation, and its adjustment quality is directly related to the accuracy and reliability of the engine air working condition simulation. Compared with other control subsystem...

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): G05B11/42G01M15/02
CPCG05B11/42G01M15/02
Inventor 张松但志宏王信钱秋朦裴希同赵伟郭玉英
Owner AECC SICHUAN GAS TURBINE RES INST
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