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Artificial Intelligence and Intelligent Manufacturing (AIIM), International Symposium on

作者： Yunli Li Ming Pu Gexiang Zhang Zhihong Dan Song Zhang 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: (数字)9798331541729

ISBN: (纸本)9798331541736

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.

关键词： Performance evaluation Temperature Atmospheric modeling simulation Mathematical models Temperature control Servomotors Sliding mode control Heat transfer Testing

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Adaptive Active Disturbance Rejection Control based on Coupling Coefficient with Applications to Flight Environment simulation System

Adaptive Active Disturbance Rejection Control based on Coupl...

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第43届中国控制会议

作者： Linfeng Wu Qiumeng Qian Chao Zhai Hehong Zhang School of Future Technology China University of Geosciences Science and Technology on Altitude Simulation Laboratory AECC Sichuan Gas Turbine Establishment College of Computer Science and Big Data Fuzhou University

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

The ability of a high-altitude test bench flight environment simulation system to accurately simulate high-altitude environmental parameters plays a crucial role in the performance testing and evaluation of aviation engines. However, the strong coupling between controlled pressure and temperature variables in the core air intake environment simulation subsystem, along with sensor measurement noise, limits the overall control quality of environmental parameters. For this purpose, this paper proposes an adaptive active disturbance rejection control based on coupling degree identification, abbreviated as AADRC, which efficiently matches the system control channels while solving the flight environment simulation control problems caused by variable coupling and measurement noise. Based on the relative gain array method, the coupling degree of the control variables of the linearized system is identified, providing a matched control loop for the high-temperature gas control valve and the lowtemperature gas control valve. Considering the impact of sensor measurement noise on the performance of active disturbance rejection control, an adaptive extended state observer with adaptive bandwidth adjustment method based on relative gain array method, referred to as AESO, is proposed.

关键词： ight environment simulation platform decoupled control algorithms relative gain array active disturbance rejection control coupling analysis extended state observer

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An Adaptive Formulation-based Many-Objective Evolutionary Algorithm for Multi-Scenario Optimization in Data Enrichment

An Adaptive Formulation-based Many-Objective Evolutionary Al...

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Congress on Evolutionary Computation

作者： Liang Fan Xudong Feng Handing Wang School of Artificial Intelligence Xidian University Xi'an China Science and Technology on Altitude Simulation Laboratory AECC Sichuan Gas Turbine Establishment Mianyang China

In many practical applications, data enrichment can generate a large amount of accurate data to alleviate the problem of data scarcity. In order to make the fake data generated in data enrichment as close to the real data as possible, the data enriching model must be tuned to meet the loss requirements of multiple objectives in different scenarios, which makes it a multi-scenario many-objective optimization problem. However, due to the curse of the dimensionality of the scenario space and the objective space, the existing many-objective evolutionary algorithms cannot solve the problem in data enrichment well. To effectively handle this problem, we propose an adaptive formulation-based multi-objective evolutionary algorithm, where the aggregation function is used to reduce the dimension of the scenario space to one and the multiple objectives into three objectives through the adaptive formulation of the original problem. In this way, a multi-scenario many-objective problem is converted into a multi-objective problem which could be solved by existing multi-objective evolutionary algorithms. The proposed algorithm is applied to the practical data enrichment problem to solve the multi-scenario many-objective optimization problem and compared with NSGA-III. The experimental results demonstrate the remarkable superiority of the proposed algorithm over NSGA-III.

关键词： Evolutionary computation Data models Optimization

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A New Time Optimal Control based Tracking Differentiator with Small Phase Lag

A New Time Optimal Control based Tracking Differentiator wit...

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第43届中国控制会议

作者： Louyue Zhang Hehong Zhang Chao Zhai Xi Wang Zhihong Dan School of Energy and Power Engineering Beihang University College of Computer and Data Science Fuzhou University Science and Technology on Altitude Simulation Laboratory AECC Sichuan Gas Turbine Establishment Mianyang

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

Real-time filtering and derivative signals with as small phase lag as possible are of great significance for control performances. In this work, an enhanced time optimal control(referred as f sa) based tracking differentiator(TD) is proposed,which can guarantee a small phase lag in both filtering and differential signals for a class of input signals with different levels of noises. This characteristic is achieved by introducing a damping coefficient to the boundary transformation function of the time-optimal control algorithm. simulation results show that the proposed f sa based TD outperforms the fhan based TD in both filtering and differentiation.

关键词： tracking differentiator filtering differentiation phase lag system damping

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EFFECT OF THE RIM SEAL CONFIGURATIONS ON THE HOT GAS INGESTION INTO THE ROTOR-STATOR CAVITY

EFFECT OF THE RIM SEAL CONFIGURATIONS ON THE HOT GAS INGESTI...

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第三届中国国际透平机械学术会议

作者： Xing-yun Jia Jie Zhou Qun Zheng Hai Zhang College of Power and Energy Engineering Harbin Engineering UniversityHarbin 150001China Science and Technology on Altitude Simulation Laboratory China Gas Turbine EstablishmentChina Aviat

The effect of rim seal configurations on the flow and heat transfer characteristics in a turbine cavity and the rim seal clearance flow are computed by using a numerical method for conjugate heat transfer.A radial clearance at high radius can properly block the ingestion air and purge flow into the rim clearance region,leading to a better temperature distribution of the turbine disc and cavity with approximately 3-10%increase in seal effectiveness when compared to an axial clearance rim seal at high *** radial-axial clearance rim seal keeps the advantages of a radial-clearance,further reducing the negative effect of ingestion gas on the temperature of the rotor and stator *** the condition of minimum sealant flow rate for the radial-axial clearance rim seal,the seal effectiveness of the radial-axial clearance rim seal is 5.29%higher than that of the axial-clearance rim seal,and the air-cooling aerodynamic efficiency of the radial-axial clearance rim seal is 1.8%higher than that of the axial-clearance.

关键词： Rim seal Radial-axial clearance rim seal Hot gas ingestion Rotor-stator cavity Conjugate heat transfer

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

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

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Artificial Intelligence and Intelligent Manufacturing (AIIM), International Symposium on

作者： Zezhen Zhou Haina Rong Tong Bi Gexiang Zhang Zhihong Dan Song Zhang School of Electrical Engineering Southwest Jiaotong University Chengdu China 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: (数字)9798331541729

ISBN: (纸本)9798331541736

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 $\mathbf{3 2. 7 \%}$ 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.

关键词： Temperature measurement Accuracy Volume measurement Noise Propulsion Temperature control Delays Noise measurement State estimation Convergence

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Optimal Microphone Selection for Aero-Engine Acoustic Measurement

SSRN

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SSRN 2023年

作者： Li, Zepeng Qiao, Baijie Wen, Bi Chen, Xuefeng Jakobsson, Andreas School of Mechanical Engineering Xi’an Jiaotong University Xi’anCN-710049 China Department of Mathematical Statistics Lund University LundSE-22100 Sweden Science and Technology on Altitude Simulation Laboratory MianyangCN-621022 China

Acoustic testing is crucial in the aero-engine design process, providing valuable information about the sound field in terms of acoustic modes. The conventional use of a uniform sampling array limits the achievable resolution for a given number of sensors, necessitating the use of a large number of sensors to achieve high resolution estimates. This limitation may be overcome using a non-uniform sensing array. In this work, we propose an optimal microphone selection scheme to determine which microphone placements that are preferable given the typically available a priori knowledge of the relevant acoustic modes. Using a weighted A-optimality criterion, we formulate the sensor selection problem as the one minimizing the expected variance of the resulting parameter estimates. Using both numerical and measured data sets, we illustrate how the proposed scheme allows for improved performance as compared to random and uniform sensor placement schemes. © 2023, The Authors. All rights reserved.

关键词： Acoustic fields

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A Model Average Algorithm for Housing Price Forecast with Evaluation Interpretation

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Journal of Quantum Computing 2022年第3期4卷 147-163页

作者： Jintao Fu Yong Zhou Qian Qiu Guangwei Xu Neng Wan School of Computer Science Southwest Petroleum UniversityChengdu610500China Key Laboratory on Aero-Engine Altitude Simulation Technology Sichuan Gas Turbine EstablishmentAECCMianyang621000China Aero Engine Academy of China Aero Engine Corporation of ChinaBeijing101300China

In the field of computer research,the increase of data in result of societal progress has been remarkable,and the management of this data and the analysis of linked businesses have grown in *** are numerous practical uses for the capability to extract key characteristics from secondary property data and utilize these characteristics to forecast home *** regression methods in machine learning to segment the data set,examine the major factors affecting it,and forecast home prices is the most popular method for examining pricing *** is challenging to generate precise forecasts since many of the regression models currently being utilized in research are unable to efficiently collect data on the distinctive elements that correlate y with a high degree of house price *** today’s forecasting studies,ensemble learning is a very prevalent and well-liked study *** regression integration computation of large housing datasets can use a lot of computer resources as well as computation time,and ensemble learning uses more resources and calls for more machine support in integrating diverse *** Average Model suggested in this paper uses the concept of fusion to produce integrated analysis findings from several models,combining the best benefits of separate *** Average Model has a strong applicability in the field of regression prediction and significantly increases computational *** technique is also easier to replicate and very effective in regression *** using regression processing techniques,this work creates an average of different regression models using the AM(Average Model)algorithm in a novel *** evaluating essential models with 90%accuracy,this technique significantly increases the accuracy of house price *** experimental results show that the AM algorithm proposed in this paper has lower prediction error than other comparison algorithms,and the prediction accurac

关键词： Machine learning AM algorithm price forecast regression algorithm Model evaluation

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μ-Synthesis-based robust L1 adaptive control for aeropropulsion system test facility

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Aerospace science and technology 2023年第1期140卷

作者： Liu, Jiashuai Wang, Xi Liu, Xi Zhu, Meiyin Pei, Xitong Dan, Zhihong Zhang, Song School of Energy and Power Engineering Beihang University Beijing100191 China Zhongfa Aviation Institute Beihang University Hangzhou311115 China Research Institute of Aero-Engine Beihang University Beijing100191 China Science and Technology on Altitude Simulation Laboratory AECC Sichuan Gas Turbine Establishment Mianyang621703 China

For Aeropropulsion System Test Facility (ASTF) applied in aero-engine performance testing, it is critical to accurately control the pressure and temperature of the airflow to simulate the flight environment. This article presents a μ-synthesis-based robust L1 adaptive control method for ASTF to achieve excellent control performance within a wide working envelope. A μ controller based on a reference model is first designed as the baseline, which can address the coupling effect and guarantee the desired dynamic despite uncertainties. Thereafter, an L1 adaptive compensation term is incorporated to cancel out the large (matched and unmatched) uncertainties, and then recover the baseline performance. This control scheme augments the μ controller to control the ASTF over a wide working envelope and avoids complex gain scheduling design. Furthermore, μ controller can still ensure the robust performance of the closed-loop system even if the adaptive compensation is inadequate. Numerical simulations are performed on high-fidelity nonlinear model to verify the effectiveness of the proposed method. Compared with other state-of-the-art techniques, the robust L1 adaptive control possesses better performance and robustness. © 2023 Elsevier Masson SAS

关键词： Controllers

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A Comparison Study of Tracking Differentiator and Robust Exact Differentiator

A Comparison Study of Tracking Differentiator and Robust Exa...

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Chinese Automation Congress (CAC)

作者： Juan Wang Hehong Zhang Gaoxi Xiao Zhihong Dan Song Zhang Yunde Xie College of Mathematics and Computer Science Fuzhou University Fuzhou China School of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore Singapore Science and Technology on Altitude Simulation Laboratory AECC Sichuan Gas Turbine Establishment of China Mianyang China Beijing Rail Transit Technology Equipment Group Co. Ltd Beijing China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

This paper presents a comparison study of two commonly-used differentiators, namely tracking differentiator (TD) and robust exact differentiator (RED) in both the frequency and the time domains. Specifically, we compare their performances in filtering and differentiation estimation for a large number of inputs with different levels of noises. Meanwhile, the parameter adaptability regarding different inputs for the two differentiators is tested. Furthermore, the efficiency of the two algorithms are evaluated respectively by the hardware. The results show that TD outperforms RED in quickness, smoothness, and noise-tolerance with no overshoots, while RED has advantageous exactness and robustness in the filtering and algorithm's simplicity. Also, TD has a better parameter adaptability and tolerance to signal frequency's variations whereas the performance of RED is heavily dependent on parameter setting. To overcome the overshoot problem in RED, an enhancement by adoption of the transition function is proposed. These results shall provide useful tips for selecting appropriate differentiators in real-life engineering, and designing new differentiators as well.

关键词： Estimation Signal to noise ratio Time-frequency analysis Time-domain analysis Signal processing algorithms Frequency estimation Turbines

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