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IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Faian Shahid Hao Luo Shafqat Ali Muhammad Zubair Ashraf Jahan Zaib Bhatti Control and Simulation Center Harbin Institute of Technology Harbin China Department of Control Science and Engineering Harbin Institute of Technology Harbin China

ISBN: (数字)9798350360868

ISBN: (纸本)9798350360875

Reliable spacecraft attitude control during maneuvers is essential for the success of space missions. This paper introduces a robust adaptive control strategy for rigid spacecraft attitude tracking capable of dynamically adjusting control system parameters to respond to inherent parametric uncertainties and external disturbances. The primary objective is to ensure the convergence of unit quaternion-based spacecraft system states in the presence of inertial uncertainties and disturbances while avoiding unwinding phenomena. The proposed method uses a switching function designed to drive the error trajectories of rigid spacecraft onto a sliding manifold containing two equilibria. Subsequently, a robust adaptive attitude tracking control is developed to handle uncertainties and disturbances while driving the system error states toward the origin along the sliding surface. In consideration of safe actuator operation, the chattering phenomenon is minimized by utilizing a boundary layer function. Constraint is employed on the designed parameters of the adaptive function in such a way that the system states converge within this boundary layer. The Lyapunov stability theory demonstrates the stability analysis of the attitude control system for rigid spacecraft. Numerical simulations validate the effectiveness, reliability, and anti-unwinding capabilities of the proposed approach.

关键词： Space vehicles Actuators Uncertainty Attitude control Switches Reliability theory Numerical simulation

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High-Precision Identification and Balance Method for the First-to-Third Harmonics of Mass Defects of Fused Quartz Hemispherical Resonator

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IEEE Transactions on inst.umentation and Measurement 2025年 74卷

作者： Huo, Yan Wei, Zhen-Nan Wang, Ning Wang, Hao Li, Yuan-Xi Tsinghua University Department of Precision Instrument Beijing100084 China Harbin Institute of Technology Department of Aerospace Science and Technology Harbin150001 China Harbin Institute of Technology School of Aeronautics Harbin150001 China Harbin Institute of Technology Department of Control Science and Engineering Harbin150001 China

In the article, the ultrahigh-precision identification and balance method for the first-to-third harmonics of mass defects of the hemispherical resonator are proposed. First, the mechanical analysis model of the hemispherical shell acting on the supporting stem is established, and the energy transfer mechanism from the hemispherical shell to the supporting stem is revealed. According to the theoretical analysis, the identification model and test method for the amplitude and azimuth of the first-to-third harmonics of mass defects based on the coupled vibration of the supporting stem are proposed, respectively. Second, the optical testing system is implemented for measuring the mass imperfection and damping anisotropy, which includes the amplitude-phase control system of the hemispherical shell with PXI platform as the core and the weak vibration signal extraction system of the supporting stem with the lock-in amplifier as a core. After that, the important etching process parameters are optimized based on the vibration energy function of the resonator and mass removal function of the ion beam for improving the efficiency and accuracy of the mass balance, and the etching path and time series of the ion beam are planned by the identification result of mass defects and calibration result of the etching efficiency. Finally, the mass balancing results indicate that the first-to-third harmonics of mass defects are reduced by 95.85%, 89.52%, and 81.69%. Correspondingly, the average of the quality factor is increased from 1.6616 × 107to 1.8364 × 107, the split of the quality factor is reduced from 3.9152 × 106 to 9.7717 × 104 , and the nonuniformity of the quality factor is decreased from 23.56% to 0.53%, which can significantly improve the vibration performance of the resonator. © 1963-2012 IEEE.

关键词： Harmonic analysis

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Numerical simulation and experiment of a blade management device in microgravity 17

Numerical simulation and experiment of a blade management de...

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17th Asian International Conference on Fluid Machinery, AICFM 2023

作者： Chen, L. Li, Y. Liu, J.T. He, X.M. Qu, Z. Yang, N.J. Department of Energy Science and Engineering Harbin Institute of Technology Harbin150001 China Department of Space Propulsion Beijing Institute of Control Engineering Beijing100094 China Department of Operation and Development Beijing Aerospace Shenzhou Intelligent Equipment Technology Co. LTD Beijing100000 China

Currently, most satellite propulsion systems are mainly chemical propulsion, and liquid propellant is the necessary power fuel for the propulsion system. The working environment of microgravity occurs when the satellite is in orbit. According to the working characteristics of the satellite, a propellant management device of vane type is designed. The PMD is composed of a vertical guide plate and a liquid accumulator, which is applied to the propellant tank to store and manage the propellant. In this paper, the microgravity gas-liquid management and control mechanism of a propellant management device of vane type is studied by numerical simulation and tower drop test. The results of numerical simulation and tower drop test are consistent, which verifies the good fluid management characteristics of this type of propellant management device, and provides references for its engineering application and the design of this type of structure. © Published under licence by IOP Publishing Ltd.

关键词： Microgravity

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Facial Expression Recognition via Closed-Loop Transcription

Facial Expression Recognition via Closed-Loop Transcription

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Annual Conference of Industrial Electronics Society

作者： Xuan Liu Jiachen Ma Qiang Wang Department of Control Science and Engineering Harbin Institute of Technology Harbin PR China Department of Control Science and Engineering Harbin Institute of Technology Weihai PR China

ISBN: (数字)9781665464543

ISBN: (纸本)9781665464550

Convolutional Neural Networks (CNNs) are the most widely used and successful approaches for accomplishing the Facial Expression Recognition (FER) task. However, these technologies appear to have reached a bottleneck since the networks are becoming increasingly complex and heavier, yet the performance improvements remain minimal. The "black box" nature of CNNs makes it challenging to identify and address this crux. This paper aims to address the issue by utilizing the principles of data compression and discriminative representation within a plausible theoretical framework. We are employing an innovative computational framework, drawing inspiration from feedback loop control systems, to develop an interpretable closed-loop transcription model to generate a Linear Discriminative Representation (LDR) for multi-class real-world datasets. This model, comprised of an encoder and decoder that facilitates data mapping between the data space and the feature space, employs the output of the transcription system as feedback or guidance, with the objective of improving the accuracy and efficiency of the transcription process. The optimal LDR is learned jointly for all data classes through a two-player minimax game between the encoder and decoder for the learned representation over a single rate reduction-based objective. The studies conducted on the FER2013 dataset show promising results for the proposed closed-loop formulation. The visual quality of the learned decoder and the classification performance of the encoder are comparable to those of large and complex networks. An accuracy of 70.97% was attained on the FER2013 dataset by applying Principal Component Analysis (PCA) to the learned representation.

关键词： Industrial electronics Visualization Feedback loop Accuracy Face recognition Computational modeling Games Aerospace electronics Decoding Principal component analysis

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Artificial-Intelligence-Based Quantitative Fault Diagnosability Analysis of Spacecraft: An Information Geometry Perspective

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2023年第4期4卷 624-635页

作者： Wang, Dayi Fu, Fangzhou Yu, Han Chu, Weimeng Wu, Zhigang Li, Wenbo China Academy of Space Technology Beijing Institute of Spacecraft System Engineering Beijing100094 China Sun Yat-sen University School of Aeronautics and Astronautics Shenzhen518107 China Harbin Institute of Technology Department of Control Science and Engineering Harbin150001 China Dalian University of Technology School of Aeronautics and Astronautics Dalian116024 China China Academy of Space Technology Beijing Institute of Control Engineering Beijing100190 China

To provide a theoretical foundation for the design of spacecraft and a reference for their on-orbit adjustment, this study develops methods for the quantitative diagnosability analysis of spacecraft through the introduction of a Riemannian manifold and artificial intelligence into a diagnosability analysis framework. These developed methods have three main advantages. First, they do not rely on any assumption regarding the statistical distribution of the observations. Second, all types of faults can be analyzed without information loss. Third, the computational burden is reduced, making it possible to perform on-orbit fault diagnosability analysis. The effectiveness and feasibility of the proposed methods are then verified via a numerical simulation and a spacecraft attitude control system. © 2020 IEEE.

关键词： Spacecraft

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Bypass Capacitor Design for Wideband Impedance Measurements of Inductive Coupling Approaches 2

Bypass Capacitor Design for Wideband Impedance Measurements ...

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2nd International Conference on Sensing, Measurement, Communication and Internet of Things Technologies, SMC-IoT 2023

作者： Jie, Huamin Zhao, Zhenyu Chang, Yongqi Zeng, Yu Fan, Fei Sasongko, Firman Gupta, Amit Kumar See, Kye Yak Nanyang Technological University School of Electrical and Electronic Engineering Singapore Harbin Institute of Technology Department of Control Science and Engineering Harbin China Rolls-Royce Singapore Pte Ltd Singapore

ISBN: (纸本)9798350373257

In-circuit impedances of power converters are pivotal for the prediction and mitigation of electromagnetic interference (EMI) in power electronics applications. Inductive coupling approaches, favored for their safety and non-intrusive nature, are the preferred solutions for in-circuit measurements. Given that the power converters are operational under test, a set of capacitors is essential to show low impedances at a frequency of interest and bypass the effects of loads. Owing to inherent parasitics in capacitors, their performance deviates from ideal and produces inductive behavior at high frequencies, ultimately constraining the usable frequency range of inductive coupling approaches. In this paper, an innovative strategy for wideband bypass capacitor design is proposed and illustrated. Several individual film capacitors are paralleled and packaged in a printed circuit board to form the bypass capacitor. Their impedance frequency responses are measured through the two-port circuit de-embedding method and the parasitics of PCB are extracted via the boundary element analysis. Consequently, an equivalent circuit model of this bypass capacitor is constructed, enabling the impedance derivation grounded in circuit theory. The experiment validates the efficacy of the proposed capacitor, showcasing consistently low impedances spanning a wideband frequency range from 100 kHz to 1 GHz. © 2023 IEEE.

关键词： Equivalent circuits

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Characterization and Modeling of Single-Phase Common-Mode Chokes via Finite-Element Analysis 49

Characterization and Modeling of Single-Phase Common-Mode Ch...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Jie, Huamin Zhao, Zhenyu Fan, Fei Chang, Yongqi Sasongko, Firman Gupta, Amit Kumar See, Kye Yak School of Electrical and Electronic Engineering Nanyang Technological University Singapore Harbin Institute of Technology Department of Control Science and Engineering Harbin China Rolls-Royce Singapore Pte Ltd Singapore

ISBN: (纸本)9798350331820

The common-mode (CM) choke is critical integral part of an electromagnetic interference (EMI) filter. An accurate electrical model of the CM choke is crucial to simulate and evaluate the EMI filter performance with confidence. Numerical simulation has emerged as a feasible solution to realize the above-mentioned objectives without the presence of physical products, and thus reducing the trial-and-error process and achieving the choke design speedups. This paper proposes a comprehensive process for the characterization and modeling of single-phase CM chokes based on finite-element analysis (FEA). By extracting the transmission parameters through 3-D model of choke, both impedance magnitudes and phases of its CM or differential-mode (DM) can be collected. These impedances will then be used to derive the behavioral model. The results are validated experimentally with good agreement up to 100 MHz. © 2023 IEEE.

关键词： Finite element method

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Fault Diagnosis Based on the Updating Strategy of Interval-Valued Belief Structures

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Chinese Journal of Electronics 2025年第4期23卷 753-760页

作者： Xiaobin Xu Ping Liu Yanbo Sun Chenglin Wen Institute of Systems Science and Control Engineering School of Automation Hangzhou Dianzi University Hangzhou China Department of Control Science and Engineering School of Astronautics Harbin Institute of Technology Harbin China

This paper presents the dynamic method for fault diagnosis based on the updating of Interval-valued belief structures (IBSs). The classical Jeffrey's updating rule and the linear updating rule are extended to the framework of IBSs. Both of them are recursively used to generate global diagnosis evidence with the form of Interval basic belief assignment (IBBA) by updating the previous evidence with the incoming evidence. The diagnosis decision can be made by global diagnosis evidence. In the process of evidence updating, the similarity factors of evidence are used to determine switching between the extended Jeffrey's and linear updating rules, and to calculate the linear combination weights. The diagnosis examples of machine rotor show that the proposed method can provide more reliable and accurate results than the diagnosis methods based on Dempster-Shafer evidence theory.

关键词： Fault diagnosis Accuracy Evidence theory Rotors Switches Reliability theory Real-time systems

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Adaptive Frequency Estimator Based on the Observable Canonical Form

Adaptive Frequency Estimator Based on the Observable Canonic...

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2022 IEEE International Conference on Industrial technology, ICIT 2022

作者： Li, Kuan Tang, Dejia He, Yang Zhao, Yuansheng Luoy, Hao Shanghai Aerospace Control Technology Institute Shanghai China 201100 Harbin Institute of Technology Department of Control Science and Engineering Harbin China 150001

ISBN: (纸本)9781728119489

This paper proposes an adaptive frequency estimator based on the observable canonical form. The signal model is first constructed in the form of the state space representation and transformed into the observable canonical form. The state observer of the signal model is then designed based on the observable canonical form. In addition, the structure of the observer is analyzed in detail with respect to the number of the frequency components. The design of the frequency-related parameters in the observer is also given in a theorem, based on which the adaptive frequency estimator is proposed with three main parts including an adaptive observer, an auxiliary filter and a frequency estimator. The proposed adaptive frequency estimator is finally validated on the simulated voltage signals with different harmonics for power quality monitoring. © 2022 IEEE.

关键词： Frequency estimation

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High Accuracy Target Tracking System Based on Muscle-skeleton Robotic Arm

High Accuracy Target Tracking System Based on Muscle-skeleto...

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IEEE inst.umentation and Measurement technology Conference

作者： Yan Wang Qiang Wang Jianyin Fan Department of Control Science and Engineering Harbin Institute of Technology Harbin PR China

ISBN: (数字)9798350380903

ISBN: (纸本)9798350380910

Human biological structures and neural mechanisms have provided many great inspirations for the design and improvement of human-like robots. McKibben muscle, as a new type of flexible actuator, can be used to manufacture humanoid robots. In this paper, a target tracking system based on muscle-skeleton robotic arm and MLP-driven pressure prediction is proposed. The robotic arm, which is made of multifilament muscles, can make similar movements to human arms, and its performance is verified in the simulation environment. We use the Kinect v2 depth camera and combine the depth image and color image to calculate the spatial coordinates of the target object. Finally, we use a neural network to predict the air pressure to control the robotic with a pressure controller. The experimental results show that the robotic arm can complete the spatial target tracking tasks with an average error of 2.14cm.

关键词： Target tracking Accuracy Robot kinematics Neural networks Robot vision systems Muscles Pneumatic systems

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