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Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS), CAA Symposium on

作者： Yu Lin Cong Zhang Sihang Zhang Yiming Wan School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China Beijing Insitute of Control Engineering Beijing China

An industrial process typically consists of multiple production modes, and transitions between two modes often cause difficulties for process monitoring. For the transitions between steady-state modes, it is common to ignore or combine them with other modes for modeling. The former is likely to cause false alarms, and the latter reduces the detection rate of the monitoring process. Efficient and accurate demarcation of the transition mode from the steady mode presents an intriguing research topic. To address this issue, this paper presents an innovative iterative mode merging approach for multimode process monitoring with transition mode. The data is segmented according to the proportion of principal components to the total space, and then iterative mode merging (the merging of data of the same mode) is performed according to the reconstruction error of the probabilistic principal component analysis (PPCA) model. A case study using a multiphase flow dataset demonstrates the effectiveness of the proposed method.

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Event-Triggered Output Voltage Practical Tracking control for Uninterruptible Power Supply Systems

Event-Triggered Output Voltage Practical Tracking Control fo...

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第35届中国控制与决策会议

作者： Ben Wu Wei Liu Weijie Sun Key Laboratory of Autonomous Systems and Networked Control Ministry of EducationSchool of Automation Science and EngineeringSouth China University of Technology

In this paper,by using the output regulation theory,we research the output voltage practical tracking problem for uninterruptible power supply systems under event-triggered control *** configuring the desired poles for a controllable pair and solving the regulator equations,a state feedback gain and a feedforward gain can be obtained for designing the control ***,under event-triggered mechanism,a control law that can be applied to a digital platform directly is designed to solve our ***,it can be verified that the voltage tracking error can converge to a pre-specified neighborhood of the origin.

关键词： Uninterruptible power supply output regulation event-triggered control

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ADRC Combined with IMC for Non-Minimum Phase Systems

ADRC Combined with IMC for Non-Minimum Phase Systems

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第42届中国控制会议

作者： Xiangyang Li Xindi Deng Senping Tian Wei Ai Key Laboratory of Autonomous Systems and Network Control Ministry of EducationSchool of Automation Science and EngineeringSouth China University of Technology

The integrated control method,active disturbance rejection control(ADRC) combined with internal model control(IMC),is proposed for non-minimum phase *** ADRC combined with IMC is to reduce the influence of zeros on right half plant(RHP),system uncertainty and outer *** improved IMC is put in the inner loop and ADRC is adopted in the outer *** order to enhance the system's stability,an approximate zero phase error model of controlled plant(ZPEM) is used as the internal model in the IMC control loop where the feedback of the inner loop is the dynamic weighted filter sum of the real output and the ZPEM *** theoretical analysis and simulations verify effectiveness of the proposed method for non-minimum phase systems.

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Temperature Gradient Analyses of a Tubular Solid Oxide Fuel Cell Fueled by Methanol

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Transactions of Tianjin University 2023年第1期29卷 14-30页

作者： Qidong Xu Meiting Guo Lingchao Xia Zheng Li Qijiao He Dongqi Zhao Keqing Zheng Meng Ni Department of Building and Real Estate Research Institute for Sustainable Urban Development(RISUD)&Research Institute for Smart Energy(RISE)The Hong Kong Polytechnic UniversityHong Kong 999077China School of Artifi cial Intelligence and Automation Key Laboratory of Image Processing and Intelligent ControlHuazhong University of Science and TechnologyWuhan 430074China School of Low-Carbon Energy and Power Engineering China University of Mining and TechnologyXuzhou 221116China

Thermal management in solid oxide fuel cells(SOFC)is a critical issue due to non-uniform electrochemical reactions and convective fl ows within the ***,a 2D mathematical model is established herein to investigate the thermal responses of a tubular methanol-fueled *** show that unlike the low-temperature condition of 873 K,where the peak temperature gradient occurs at the cell center,it appears near the fuel inlet at 1073 K because of the rapid temperature rise induced by the elevated current *** the large heat convection capacity,excessive air could not eff ectively eliminate the harmful temperature gradient caused by the large current ***,optimal control of the current density by properly selecting the operating potential could generate a local thermal neutral ***,the maximum axial temperature gradient could be reduced by about 18%at 973 K and 20%at 1073 K when the air with a 5 K higher temperature is ***,despite the higher electrochemical performance observed,the cell with a counter-fl ow arrange-ment featured by a larger hot area and higher maximum temperature gradients is not preferable for a ceramic SOFC system considering thermal ***,this study could provide insightful thermal information for the operating condition selection,structure design,and stability assessment of realistic SOFCs combined with their internal reforming process.

关键词： Solid oxide fuel cell Modeling Methanol fuel Temperature gradient Internal reforming

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Multi Classification Online Monitoring of Photovoltaic Array Fault Diagnosis Algorithm

Multi Classification Online Monitoring of Photovoltaic Array...

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Chinese automation Congress (CAC)

作者： Liming Liu Lingtong Kang Xiuchang Deng Meilin Zheng Jing Liu Weimina Shao School of Electrical Engineering and Automation Xiamen University of Technology Xiamen China School of Nuclear Science and Technology University of South China Hengyang China Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control School of Electrical Engineering and Automation Xiamen University of Technology Xiamen China

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

With the rapid development of photovoltaic power generation, the fault of photovoltaic array is receiving increasing attention. In response to this issue, proposes an online monitoring photovoltaic array fault diagnosis algorithm based on Support Vector Machines. Firstly, collect the voltage and current of the photovoltaic array for feature extraction. Next, the extracted feature data is normalized and input into a SVM to train the classifier and identify and judge the faults that occur. In the experiment, simulation datasets were used for testing, and online detection and verification were conducted on the real datasets generated by the actual prototype. The results showed that this method can effectively diagnose photovoltaic array faults, with high accuracy and reliability. The online detection photovoltaic array fault diagnosis method based on support vector machine proposed in this paper has high fault detection rate and accuracy, which can provide technical support and guarantee for the maintenance and management of photovoltaic power generation system.

关键词： Photovoltaic systems Fault diagnosis Support vector machines Accuracy Fault detection Feature extraction Classification algorithms Maintenance Arrays Monitoring

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Distributed Resource Allocation via Accelerated Saddle Point Dynamics

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IEEE/CAA Journal of Automatica Sinica 2021年第9期8卷 1588-1599页

作者： Wen-Ting Lin Yan-Wu Wang Chaojie Li Xinghuo Yu School of Artificial Intelligence and Automation Huazhong University of Science and TechnologyWuhan 430074 Key Laboratory of Image Processing and Intelligent Control Ministry of EducationHuazhong University of Science and TechnologyWuhan 430074China School of Electrical Engineering and Telecommunications University of New South WalesSydney NSW 2052Australia School of Engineering Royal Melbourne Institute of Technology(RMIT University)Melbourne VIC 3000Australia

In this paper,accelerated saddle point dynamics is proposed for distributed resource allocation over a multi-agent network,which enables a hyper-exponential convergence ***,an inertial fast-slow dynamical system with vanishing damping is introduced,based on which the distributed saddle point algorithm is *** dual variables are updated in two time scales,i.e.,the fast manifold and the slow *** the fast manifold,the consensus of the Lagrangian multipliers and the tracking of the constraints are pursued by the consensus *** the slow manifold,the updating of the Lagrangian multipliers is accelerated by inertial ***-exponential stability is defined to characterize a faster convergence of our proposed algorithm in comparison with conventional primal-dual algorithms for distributed resource *** simulation of the application in the energy dispatch problem verifies the result,which demonstrates the fast convergence of the proposed saddle point dynamics.

关键词： Accelerated saddle point dynamic distributed resource allocation hyper-exponential stability power dispatch

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Research on object detection for service robots based on image feature 5

Research on object detection for service robots based on ima...

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5th IEEE Advanced Information Management, Communicates, Electronic and automation control Conference, IMCEC 2022

作者： Wu, Jiabao Zhang, Yunxi Zhang, Yijing Jiang, Hetong Hou, Linlin Liu, Jia Tianjin University of Technology and Education School of Automation and Electrical Engineering Tianjin China Tianjin University of Technology and Education Tianjin Key Laboratory of Information Sensing and Intelligent Control Tianjin China Qufu Normal University School of Information Science and Engineering Rizhao China

ISBN: (纸本)9781665479677

Object recognition and location capture is one of the important functions of the service robot, and the accurate detection of the target is of great significance for the subsequent function expansion. This paper studies the three kinds of HSV, ORB, SIFT algorithm based on color features, shape features and gradient. According to different scenarios of target objects, the image features are extracted and object detection is carried out through different algorithms. Compared with the detection results, it is concluded that the selection of appropriate algorithms based on different features for object detection is more efficient, which lays a foundation for subsequent service robots to complete accurate grasping of target objects in complex indoor environments. © 2022 IEEE.

关键词： Object detection

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Real-Time Moving Horizon Estimation for Nonlinear Systems With Unknown Inputs

Real-Time Moving Horizon Estimation for Nonlinear Systems Wi...

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Annual Conference of Industrial Electronics Society

作者： Songtao Du Yiming Wan Cong Zhang Sihang Zhang School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China Beijing Institute of Control Engineering Beijing China

Moving horizon estimation (MHE) is a well-known alternative to Kalman-like filtering due to its superior performance in terms of estimation accuracy, convergence speed, and robustness to poor initial state guesses. However, most MHE methods cope with unknown inputs by introducing a random walk model, which is unsuitable for fast-varying unknown inputs. To address this issue, we propose an unknown input moving horizon estimator (MHE-UI) that does not require any prior knowledge of the dynamic behavior of unknown inputs. To solve the associated nonlinear least squares problem in real time, we develop a computationally efficient Gauss-Newton iterative algorithm by exploiting the block pentadiagonal structure of the resulting Karush-Kuhn-Tucker (KKT) matrix. A numerical case study demonstrates that the proposed real-time MHE-UI algorithm achieves higher estimation accuracy than the unknown input unscented Kalman filter (UKF-UI) and significantly reduces the computational cost compared to the exact MHE-UI algorithm.

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Coordinated control of Space Manipulators with Detumbling Target

Coordinated Control of Space Manipulators with Detumbling Ta...

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Chinese control Conference (CCC)

作者： Kai Gong Yingmin Jia The Seventh Research Division and the Center for Information and Control School of Automation Science and Electrical Engineering Beihang University (BUAA) Beijing China

This paper presents a coordinated control scheme for space manipulators. The dynamics of both space manipulators and space-tumbling targets are established. A target reference angular acceleration scheme is designed to facilitate the detumbling controller, ensuring that the space target can be detumbled and remain in the desired attitude. A sliding variable is designed to effectively control the convergence of joint trajectories tracking errors to zero. Furthermore, the coordinated controller is carefully designed for joints trajectories tracking while detumbling the space target. Simulation results demonstrate the efficiency of the proposed coordinated controller scheme in addressing the control problem of space manipulators while successfully detumbling the space target.

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A Health Assessment Method Based on Directed Acyclic Graph and Improved Mahalanobis- Taguchi System

A Health Assessment Method Based on Directed Acyclic Graph a...

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Electrical engineering and control science (IC2ECS), International Conference on

作者： Gongcheng Zhou Gang Xiang Ruishi Lin Dongpeng Li Yu Peng Hongyan Wang Langfu Cui Qingzhen Zhang Liang Li School of Automation Science and Electrical Engineering Beihang University Beijing China Beijing Aerospace Automatic Control Institute Beijing China

Health status assessment is a key procedure for fault prediction and health management for complex systems. To accurately evaluate the health status of complex systems, this paper proposes a health assessment method based on a directed acyclic graph and an improved Mahalanobis- Taguchi system. Firstly, the Mahalanobis distance between samples of different health statuses is calculated by using the Mahalanobis distance system, and the discrimination degree of each sample combination is analyzed and compared. Then, the multi-classification process of equipment health status is constructed by the directed acyclic graph. Next, different feature combinations are formed by the features selected in the orthogonal experiment, and the Mahalanobis- Taguchi system is constructed separately for each combination. After voting, an improved Mahalanobis- Taguchi system used to divide the final health status category is obtained. Finally, the PHM08 data provided by the National Aeronautics and Space Administration of the United States is applied to evaluate the health status of the aero-engine.

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