Design and implementation of gas temperature control system of heat-calibration wind tunnel

Cai, Chaozhi; Li, Yunhua; Dong, Sujun

doi:10.1109/aim.2014.6878094

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…In recent years, for the combustion system with large time delay, multivariable and frequent disturbance, the research of control strategy mainly focuses on three aspects. Firstly, traditional Proportion Integration Differentiation (PID) control combines with intelligent control to optimize the effect of PID control [7][8][9][10] ; secondly, predictive control combines with other control algorithms to form a new predictive control algorithm [11][12][13][14] ; thirdly, study the decoupling control algorithm to solve the strong coupling problem of the combustion control system [15][16][17][18] . However, the main steam pressure and combustion efficiency are often more concerned in the control of the boiler combustion system, and the temperature is seldom directly controlled.…”

Section: Introductionmentioning

confidence: 99%

Gas Temperature Control of a Supersonic Heat-Airflow Simulated Test System

Cai

Guo

et al. 2020

IEEE Access

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In order to accurately control the gas temperature of a supersonic heat-airflow simulated test system, this paper introduces the working principle of the system, including the fuel supply subsystem and the air supply subsystem, establishes the mathematical model of the system, including the fuel supply subsystem, the air supply subsystem and the gas temperature, and analyses the characteristics of the system. Based on characteristics such as non-linearity, parameter time variations, disturbance and pure time delay exist in the system; a new cascade control scheme that can control both the fuel supply subsystem and the air supply subsystem is proposed to achieve an accurate control of the gas temperature. On this basis, the simulation and experimental studies are carried out by the proposed control algorithm. The results show that the proposed gas temperature cascade control algorithm can achieve a fast, stable and no overshoot control of the gas temperature in a wide operating range, and the control accuracy can reach at ±5℃.

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