American Journal of Electrical and Electronic Engineering
ISSN (Print): 2328-7365 ISSN (Online): 2328-7357 Website: http://www.sciepub.com/journal/ajeee Editor-in-chief: Naima kaabouch
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American Journal of Electrical and Electronic Engineering. 2018, 6(3), 93-99
DOI: 10.12691/ajeee-6-3-4
Open AccessArticle

Robust Cascade Temperature Control for a HSNWT

Yongbo Lai1, , Dewen Kong1, 2 and Zhiwei Wang1

1School of Mechanical & Electrical Engineering, Jiangsu College of Information Technology, Wuxi, China

2Wuxi Precise Intelligent Mould Institute, Wuxi, China

Pub. Date: December 12, 2018

Cite this paper:
Yongbo Lai, Dewen Kong and Zhiwei Wang. Robust Cascade Temperature Control for a HSNWT. American Journal of Electrical and Electronic Engineering. 2018; 6(3):93-99. doi: 10.12691/ajeee-6-3-4

Abstract

Applies programmable logic controller (PLC) to configure control hardware system, addresses the temperature control for a high speed nitrogen gas wind tunnel (HSNWT) testing, in order to obtain variable high temperature control with variable high speed gas flow, a coordinating factor of the gas flow is proposed between the tunnel’s heating and water cooling systems, moreover, considering the temperature modeling nonlinearities, uncertainties and disturbances, establish robust cascade fuzzy PID and expert predictive control strategies for the inner-loop water cooling subsystem and the outer-loop heating system, respectively, which effectively overcomes the influences of large inertia and transport time delay on the temperature responses. Furthermore, designs human-machine integrated user control interface (HMI), achieves fast and accurately control for user operating. The designed system are simulated and tested in the application, which results demonstrate that the system runs stable and reliable, has strongly robustness when the temperature changes with different loading heat modes, and has excellent capability of variable high speed nitrogen gas flow.

Keywords:
Temperature control HSNWT PLC hardware configuring cascade control fuzzy PID predictive intelligent PID

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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