Coordinated control of fuel flow-rate for a high-temperature high-speed wind tunnel

Cai, Chaozhi; Yang, Yong; Liu, Tao

doi:10.1177/0954410015626737

Cited by 7 publications

(4 citation statements)

References 6 publications

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“…The actual fuel supply subsystem has some unfavorable factors, such as pure time delay, multi-interference and parameter time variations, which bring difficulties to the accurate control of the fuel flow rate. In the previous work, the author had done a lot of research work on the accurate control of the fuel flow rate, and had obtained a lot of research results and accumulated a lot of valuable experiences [1,2,20] . Therefore, on the issue of fuel flow rate control, this paper directly adopts a fuzzy-PID predictive control method proposed in the previous study.…”

Section: Bfuel Flow Rate Control Lawmentioning

confidence: 99%

“…Supersonic heat-airflow simulated test system (SHSTS) is an important ground test support equipment in the field of aerospace. It is mainly used to simulate the high temperature and high heat flux density environment encountered by high-end aviation equipment such as highspeed aircraft and aero engine, so as to provide thermal performance test conditions for high-end equipment in the field of aerospace and ensure that the performance of the equipment meets the design requirements [1][2] . Therefore, the SHSTS plays a very important role in the equipment development and performance test in the aerospace field [3] .…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Bfuel Flow Rate Control Lawmentioning

confidence: 99%

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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“…It involves basic theories and key technologies such as fluid fuel delivery and control, combustion and temperature control. Its performance level not only directly restricts the development level of national key aero engine but also affects the reliability of static and dynamic calibration of high-temperature sensors and the safety of high-speed aircraft (1,2) . Therefore, the SHSTS is the key supporting equipment to independently develop aero engine and ensure the safety of high-speed aircraft.…”

Section: Introductionmentioning

confidence: 99%

Coordinated control of fuel flow rate and air flow rate of a supersonic heat-airflow simulated test system

2020

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ABSTRACTThe gas temperature of the supersonic heat airflow simulated test system is mainly determined by the fuel and air flow rates which enter the system combustor. In order to realise a high-quality control of gas temperature, in addition to maintaining the optimum ratio of fuel and air flow rates, the dynamic characteristics of them in the combustion process are also required to be synchronised. Aiming at the coordinated control problem of fuel and air flow rates, the mathematical models of fuel and air supply subsystems are established, and the characteristics of the systems are analysed. According to the characteristics of the systems and the requirements of coordinated control, a fuzzy-PI cross-coupling coordinated control strategy based on neural sliding mode predictive control is proposed. On this basis, the proposed control algorithm is simulated and experimentally studied. The results show that the proposed control algorithm has good control performance. It cannot only realise the accurate control of fuel flow rate and air flow rate, but also realise the coordinated control of the two.

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“…level not only directly restricts the development level of national key aero engine, but also affects the reliability of static and dynamic calibration of high-temperature sensors and the safety of high-speed aircraft [1], [2]. The control performance of the gas temperature is an important index to measure the performance level of the HHHTS.…”

Section: Introductionmentioning

confidence: 99%

Identification of Air-Fuel Ratio for a High-Temperature and High-Speed Heat-Airflow Test System Based on Support Vector Machine

2020

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Air-fuel ratio is an important parameter in high-temperature and high-speed heat-airflow test system. If air-fuel ratio of the system is too low, the fuel cannot be fully burned, which will not only reduce the control performance of the gas temperature, but also increase the pollutant emissions of the combustor. In order to solve this problem, it is necessary to identify the air-fuel ratio of the system, get the prediction model of the air-fuel ratio, and adjust the fuel input according to the prediction value of the air-fuel ratio. In order to realize the accurate identification of the air-fuel ratio of the system, this paper briefly analyses the mathematical model of the air-fuel ratio in high-temperature and high-speed heat-airflow test system, and proposes an identification method of the air-fuel ratio based on support vector machine. On the basis of the experimental data, the air-fuel ratio of the system is identified by using different kernels, i.e. firstly, the experimental scheme is designed, and the fuel mass flow rate, air mass flow rate, gas temperature and actual air-fuel ratio of the system are collected under different experimental conditions; then, the collected data are divided into training datasets and test datasets, and the training datasets are trained by support vector machine to obtain identification model of the air-fuel ratio; finally, the identification model is validated with test datasets under different conditions, and the accuracy of the model is obtained. The identification results show that the support vector machine has good identification performance and can accurately approximate the actual dynamic process of the air-fuel ratio. The average absolute error of the identification model is less than 0.05, and the average relative error is less than 0.5% when the test datasets are smaller than the training datasets.

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Coordinated control of fuel flow-rate for a high-temperature high-speed wind tunnel

Cited by 7 publications

References 6 publications

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

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

Coordinated control of fuel flow rate and air flow rate of a supersonic heat-airflow simulated test system

Identification of Air-Fuel Ratio for a High-Temperature and High-Speed Heat-Airflow Test System Based on Support Vector Machine

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