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4th International Symposium on Artificial Intelligence and Intelligent Manufacturing, AIIM 2024

作者： Li, Yunli Pu, Ming Zhang, Gexiang Dan, Zhihong Zhang, Song School of Automation Chengdu University of Information Technology Chengdu China Science and Technology on Altitude Simulation Laboratory AECC Sichuan Gas Turbine Establishment Mianyang China

ISBN: (纸本)9798331541729

This paper proposes a novel finite-time sliding mode control method for the enhancement of the velocity and precision in the control of temperature and pressure within a class of air intake testing devices. Initially, a simulation model of the device without heat transfer characteristics is constructed in MATLAB, followed by the design of a sliding mode control strategy for the device. Then an auxiliary function characterized by a normal distribution is introduced, facilitating the formulation of a novel finite-time reaching law and an integral sliding mode surface, and culminating in the derivation of a finite-time sliding mode controller. Employing the Lyapunov stability theorem, it is demonstrated that the system state attains its equilibrium point within a finite time. Finally, three different reaching laws are used with the proposed sliding mode surface to construct the three controllers. simulation experiments are conducted in the simulation model using the aforementioned three sliding mode controllers. The simulation results indicate that the sliding mode controller under the influence of the reaching laws presented in this paper significantly enhances the servo tracking performance of temperature and pressure. © 2024 IEEE.

关键词： MATLAB

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Research on the impact of the irregular stern on the flow field in high-altitude numerical simulation 3

Research on the impact of the irregular stern on the flow fi...

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2024 3rd International Conference on Energy and Power Engineering, EPE-AEIC 2024

作者： Hou, Liang Zhang, Benben Zhao, Hao Tang, Zhili College of Aerospace Engineering Nanjing University of Aeronautics and Astronautics Jiangsu Nanjing210016 China Science and Technology on Altitude Simulation Laboratory Sichuan Gas Turbine Establishment Aero Engine Corporation of China Sichuan Mianyang621000 China

Numerical simulation of a high-altitude chamber is a preliminary step for ground testing of a high-altitude chamber. In this paper, the three-dimensional simulation model is established based on the real structure of a high-altitude chamber and aero-engine with an irregular stern, and then the three-dimensional numerical simulation is carried out to obtain the flow field characteristics in the chamber and the engine performance data under different working conditions. The calculation results show that the irregular stern structure can effectively reduce the backflow area inside the chamber, but it will lead to an increase in the unevenness of pressure and temperature distribution inside the chamber. The irregular stern structure can also cause a loss of 1.138% to 1.925% in engine thrust. © Published under licence by IOP Publishing Ltd.

关键词： Engines

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Intention Estimation of Adversarial Spatial Target Based on Fuzzy Inference

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Intelligent Automation & Soft Computing 2023年第3期35卷 3627-3639页

作者： Wenjia Xiang Xiaoyu Li Zirui He Chenjing Su Wangchi Cheng Chao Lu Shan Yang School of Information and Software Engineering University of Electronic Science and Technology of ChinaChengdu610054China Institute of Logistics Science and Technology Beijing100166China Science and Technology on Altitude Simulation Laboratory Sichuan Gas Turbine Establishment Aero Engine Corporation of ChinaMianyang621000China Department of Chemistry Physics and Atmospheric SciencesJackson State UniversityJacksonMS 39217USA

Estimating the intention of space objects plays an important role in air-craft design,aviation safety,military and otherﬁelds,and is an important refer-ence basis for air situation analysis and command *** paper studies an intention estimation method based on fuzzy theory,combining prob-ability to calculate the intention between two *** method takes a space object as the origin of coordinates,observes the target’s distance,speed,relative heading angle,altitude difference,steering trend and etc.,then introduces the spe-ciﬁc calculation methods of these *** calculation,values are input into the fuzzy inference model,andﬁnally the action intention of the target is obtained through the fuzzy rule table and historical weighted ***-iﬁed by simulation experiment,the target intention inferred by this method is roughly the same as the actual behavior of the target,which proves that the meth-od for identifying the target intention is effective.

关键词： Intension estimation motion parameters calculation fuzzy inference fuzzy rule table historical weighted probability

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Blade Self-excited Vibration with Identification of Fan Using Microphone Array 3

Blade Self-excited Vibration with Identification of Fan Usin...

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3rd International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022

作者： Wen, Bi Qiao, Baijie Wang, Yanan Li, Zhendong Chen, Xuefeng Science and Technology on Altitude Simulation Laboratory Mianyang China School of Mechanical Engineering Xi'An Jiaotong University Xi'an China

ISBN: (纸本)9781665492812

The identification of blade self-excited vibration on a fan is attached to great importance for aero-engine operation safety. A non-contact method based on acoustic measurement is proposed to identify blade self-excited vibration via the run-up test, where a circular microphone array is arranged in the inlet section of a three-stage fan. The test results at 6880r/min present that the asynchronous aerodynamic excitation frequency has a connection with the asynchronous blade vibration frequency. In order to reveal the connection between sound pressure fluctuations and blade vibration in asynchronous vibration phenomena, the acoustic mode decomposition are carried out. The experimental results shows that the fan blade exists asynchronous vibration when the dominant acoustic mode order decomposed at the asynchronous aerodynamic excitation frequency is the same as the nodal diameter. A brief formula is provided to reveal the connection of sound signals to identify asynchronous vibrations. © 2022 IEEE.

关键词： Acoustic boundary Fan Microphone array Self-excited vibration Traveling wave

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Design of Sliding Mode Extended State Observer for Active disturbance rejection control of Air Intake System 4

Design of Sliding Mode Extended State Observer for Active di...

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4th International Symposium on Artificial Intelligence and Intelligent Manufacturing, AIIM 2024

作者： Zhou, Zezhen Rong, Haina Bi, Tong Zhang, Gexiang Dan, Zhihong Zhang, Song School of Electrical Engineering Southwest Jiaotong University Chengdu611756 China School of Automation Chengdu University of Information Technology Chengdu610225 China Science and Technology on Altitude Simulation Laboratory AECC Sichuan Gas Turbine Establishment Mianyang621703 China

ISBN: (纸本)9798331541729

The air intake control system is a key part of a type of propulsion system test bed. However, the existence of disturbances and random measurement noise in the control system, directly affect the reliability of the engine transition state test results. In this paper, a novel sliding mode extended state observer is designed to improve the anti-disturbance performance of the intake pressure control system. First, a sliding-mode convergence law is designed to improve the convergence speed and accuracy of the system state, and then a sliding mode surface is designed to reduce tracking error. Based on the designed sliding-mode convergence law and sliding mode surface, a nonlinear convergence function is designed to modify the structure of traditional extended state observer, improving tracking accuracy and speed. simulation experiment results show that the proposed sliding mode extended state observer reduces the overshoot by 32.7% when tracking the intake pressure and 48.9% when tracking the intake temperature, indicating its effective anti-disturbance performance while ignoring the temperature feedback delay. © 2024 IEEE.

关键词： Disturbance rejection

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μ-Synthesis control with reference model for aeropropulsion system test facility under dynamic coupling and uncertainty

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Chinese Journal of Aeronautics 2023年第10期36卷 246-261页

作者： Jiashuai LIU Xi WANG Xi LIU Meiyin ZHU Xitong PEI Song ZHANG Zhihong DAN School of Energy and Power Engineering Beihang UniversityBeijing 100191China Zhongfa Aviation Institute Beihang UniversityHangzhou 311115China Research Institute of Aero-Engine Beihang UniversityBeijing 100191China Science and Technology on Altitude Simulation Laboratory AECC(Aero Engine Corporation of China)Sichuan Gas Turbine EstablishmentMianyang 621703China

Due to the dynamic coupling and multi-source uncertainties,it is difficult to accurately control the pressure and temperature of the Aeropropulsion System Test Facility(ASTF)in the presence of rapid command and large *** paper presents the design ofμ-synthesis control to solve the *** incorporating the pressure ratio into the linear equation of the control valve,the modeling error of ASTF in the low frequency range is effectively ***,an uncertain model is established by considering various factors,including parameter variations,modeling error in the low frequency range,unmodeled dynamics,and changes in the working *** address the dynamic coupling,a diagonal reference model with desired performance is incorporated intoμ-***,all weighting functions are designed according to the performance ***,theμ-controller is obtained by using the standardμ-synthesis *** results indicate that theμ-controller decouples the pressure and temperature dynamics of *** with the multivariable PI controller,integral-μcontroller,and double integral-μcontroller,the proposedμ-controller can achieve higher transient accuracy and better disturbance ***,the robustness of theμ-controller is demonstrated by Monte Carlo simulations.

关键词： Aeropropulsion System Test Facility(ASTF) Decoupling Robustness μ-Synthesis Uncertainty

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Framework Design and Key Technologies of Intelligent Management and Control Platform for altitude simulation Test Facility 12

Framework Design and Key Technologies of Intelligent Managem...

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12th Asia Conference on Mechanical and Aerospace Engineering, ACMAE 2021

作者： Qiao, Yanping Zhao, Wanli Li, Kai Zhang, Cong Guo, Yingqing School of Power and Energy Northwestern Polytechnical University Xi'an710072 China Science and Technology on Altitude Simulation Laboratory Mianyang621700 China

In this paper, based on the technologies such as intelligent operation and maintenance, data mining, etc., a design framework for the intelligent management and control platform of aero-engine altitude simulation test facility was proposed. Aiming at the problems of low data utilization rate of aero-engine altitude simulation test facility and insufficient level of intelligent control of the test process, with the current advanced experience in large-scale equipment management and control, an intelligent management and control platform for altitude simulation test facility can be constructed to effectively ensure the safety of test equipment. Improve test efficiency. The key technologies such as baseline modelling and database construction involved in the platform are summarized in order to realize the intelligent management of altitude simulation test facility, test data, software resources and the coordinated operation of test equipment, and promote the intelligent development of aero-engine altitude simulation test. © Published under licence by IOP Publishing Ltd.

关键词： Data mining

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Evaluation of Equipment Performance for altitude Test Facility Flight Environment simulation System 12

Evaluation of Equipment Performance for Altitude Test Facili...

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2022 12th International Workshop on Computer science and Engineering, WCSE 2022

作者： Li, Kai Zhao, Wanli Qiao, Yanping Guo, Yingqing Zhou, Qifan School of Power and Energy Northwestern Polytechnical University Xi'an710072 China Science and Technology on Altitude Simulation Laboratory Mianyang621700 China

ISBN: (纸本)9789811839597

Based on the predictive maintenance requirements of aero-engine altitude Test Facility (ATF) equipment, a test equipment performance evaluation method (PCA-SPR) combining principal component analysis (PCA) and statistical pattern recognition (SPR) is proposed. It uses the PCA method to reduce the dimensionality of the equipment features, and recognizes the equipment status based on SPR. Then it defines the equipment health indicators based on the sample similarity theory, and achieves the quantitative evaluation of the equipment status. This paper takes the special control valve of ATF as the research object. Based on the simulation platform of the ATF flight environment simulation system, the valve performance degradation mode is studied and the valve degradation simulation is performed. The proposed PCA-SPR algorithm is applied to the valve performance evaluation to verify the applicability of the algorithm. © 2022 WCSE. All Rights Reserved.

关键词： Principal component analysis

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Study on Data Synchronization technology of Aero-engine altitude simulation Test Facility Experiment Based on The Spring Boot Framework 6

Study on Data Synchronization Technology of Aero-engine Alti...

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2021 6th International Conference on Information science, Computer technology and Transportation, ISCTT 2021

作者： Zhou, Qi-Fan Zhao, Wanli Li, Kai Qiao, Yan-Ping Guo, Ying-Qing School of Power and Energy Northwestern Polytechnical University Xi’an710072 China Science and Technology on Altitude Simulation Laboratory Mianyang621700 China

ISBN: (纸本)9783800757282

In order to achieve the data management and data analysis of aero-engine experimental equipment, it is necessary to perform data migration on the data in the historical database. In this paper, two real-time data synchronization methods based on the JDBC interface and Mybatis structure under the Spring Boot framework were proposed, and they were applied to the altitude simulation test facility experiment to achieve the real-time data synchronization function between the historical database and the local database. For the JDBC interface mode, the switching mode that integrated full data synchronization and incremental data synchronization was used to achieve continuous data synchronization tasks. For the Mybatis structure mode, the integration of master-slave data source configuration logic and multi-threaded parallel processing flow grouping autonomy methods, the continuous data synchronization task was achieved. The simulation test results verify the efficiency and real-time performance of the two methods proposed in this paper. © VDE VERLAG GMBH · Berlin · Offenbach.

关键词： Information management

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An Energy-Constrained Optimization-Based Structured Pruning Method for Deep Neural Network Compression 22

An Energy-Constrained Optimization-Based Structured Pruning ...

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22nd IEEE International Conference on Communication technology, ICCT 2022

作者： Liu, Siping Li, Qiang Peng, Bo Qiao, Yanping Lin, Maosong Zeng, Qiang School of Information Engineering Southwest University of Science and Technology Mianyang China Science and Technology on Altitude Simulation Laboratory Mianyang China School of Computer Science and Technology Southwest University of Science and Technology Mianyang China

ISBN: (纸本)9781665470674

Deep neural networks are widely used in modern intelligent applications due to their superior ability to express reality, and these intelligent applications run on highly energy-constrained edge devices. Neural network structured pruning is an efficient method to reduce the energy consumption of neural networks. This paper proposes an energy-constrained optimization-based structured pruning method to compress deep neural network. This method uses the energy budget provided by edge devices as a constraint for neural network pruning. The key idea is to formulate deep neural network structured pruning as an optimization problem, in which the energy estimate of each layer is used as the Frobenius norm optimization constraint for the convolution kernel weights. Then the importance of all convolution kernels in the network can be evaluated, thereby the neural network structure can be pruned according to the importance to reduce the energy consumption and memory size of the neural network. Compared with traditional heuristic structured pruning methods, our proposal enables neural networks to achieve higher accuracy with the same or lower energy budget. © 2022 IEEE.

关键词： Deep neural networks

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