An intelligent control method for a large multi-parameter environmental simulation cabin

被引：0

作者：

Li Ke ^{[1
]}

Liu Wangkai ^{[1
]}

Wang Jun ^{[1
]}

Huang Yong ^{[1
]}

机构：

[1] Fundamental Science on Ergonomics and Environment Control Laboratory, School of Aeronautic Science and Engineering, Beihang University

来源：

Chinese Journal of Aeronautics | 2013年 / 06期

关键词：

Environmental cabin; Environmental testing; Expert system; Fuzzy control; Mathematical models; Turbines;

D O I：

暂无

中图分类号：

V245.3 [环境控制设备]; TP13 [自动控制理论];

学科分类号：

摘要：

The structure and characteristics of a large multi-parameter environmental simulation cabin are introduced.Due to the diffculties of control methods and the easily damaged characteristics,control systems for the large multi-parameter environmental simulation cabin are diffcult to be controlled quickly and accurately with a classical PID algorithm.Considering the dynamic state characteristics of the environmental simulation test chamber,a lumped parameter model of the control system is established to accurately control the multiple parameters of the environmental chamber and a fuzzy control algorithm combined with expert-PID decision is introduced into the temperature,pressure,and rotation speed control systems.Both simulations and experimental results have shown that compared with classical PID control,this fuzzy-expert control method can decrease overshoot as well as enhance the capacity of anti-dynamic disturbance with robustness.It can also resolve the contradiction between rapidity and small overshoot,and is suitable for application in a large multi-parameter environmental simulation cabin control system.

引用

页码：1360 / 1369

页数：10

共 50 条

[21] Study on environmental multi-parameter sensor based on MEMS
Zhang, Hongquan
Zhang, Tong
Sun, Likai
Shi, Yunbo
Guo, Hanying
RARE METAL MATERIALS AND ENGINEERING, 2006, 35 : 377 - 380
[22] Study on Environmental Multi-parameter Sensor Based on MEMS
Hongquan Zhang Tong Zhang Likai Sun Yunbo Shi Jianying Guo Harbin University of Science and TechnologyHarbin China Automobile Electronic Engineering Technology Research and Development CenterHarbin China Northeast Transducer Technology Research InstituteHarbin China
稀有金属材料与工程, 2006, (S3) : 377 - 380
[23] A new method for multi-parameter drop measurement
Li Xia
Li Bin
Liu Kechang
Proceedings of the First International Symposium on Test Automation & Instrumentation, Vols 1 - 3, 2006, : 1741 - 1744
[24] Characteristic Analysis of a Chipless RFID Sensor Based on Multi-Parameter Sensing and an Intelligent Detection Method
Liu, Luyi
Chen, Lan
SENSORS, 2022, 22 (16)
[25] Development of Centrifuge for Multi-parameter Combined Environmental Test
Rong, Zuochao
He, Wen
Shen, Runjie
MECHATRONICS AND APPLIED MECHANICS, PTS 1 AND 2, 2012, 157-158 : 16 - +
[26] Multi-parameter based coagulant dosing control
Manamperuma, L.
Wei, L.
Ratnaweera, H.
WATER SCIENCE AND TECHNOLOGY, 2017, 75 (09) : 2157 - 2162
[27] Intelligent multi-parameter control of a rectangular pulse in a passively mode-locked fiber laser
Tong, Lai-yuan
Li, Ti-jian
Zhu, Qi-bin
Liu, Meng
Zhang, Zhen-rong
Luo, Zhi-chao
OPTICS EXPRESS, 2024, 32 (24): : 43214 - 43223
[28] Design of Frequency Control System for Centrifuge in Multi-parameter Combined Environmental Testing Device
Rong, Zuochao
He, Wen
Shen, Runjie
MANUFACTURING ENGINEERING AND AUTOMATION I, PTS 1-3, 2011, 139-141 : 1817 - 1821
[29] A passive thermal control method by radiative shield with multi-parameter adjustment capacity
Sun, C.
Wang, Z. Y.
Chen, X.
Xia, X. L.
APPLIED THERMAL ENGINEERING, 2016, 94 : 600 - 606
[30] Research on the control method of multi-parameter comprehensive decision making for spot welding
Chang, Y. L.
Zhang, C.
Wang, Z. C.
Lin, B.
Sit, H.
ROBOTIC WELDING, INTELLIGENCE AND AUTOMATION, 2007, 362 : 227 - +

← 1 2 3 4 5 →