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Sliding Mode control in Power Converters and Drives: A Review

IEEE/CAA Journal of Automatica Sinica 2022年第3期9卷 392-406页

作者： Ligang Wu Jianxing Liu Sergio Vazquez Sudip K.Mazumder IEEE Department of Control Science and Engineering Harbin Institute of TechnologyHarbin 150001China Electronic Engineering Department Universidad de Sevilla41092 SevillaSpain Electrical and Computer Engineering Department University of Illinois ChicagoChicagoIL 60607 USA

Sliding mode control(SMC)has been studied since the 1950s and widely used in practical applications due to its insensitivity to matched *** aim of this paper is to present a review of SMC describing the key developments and examining the new trends and challenges for its application to power electronic *** fundamental theory of SMC is briefly reviewed and the key technical problems associated with the implementation of SMC to power converters and drives,such chattering phenomenon and variable switching frequency,are discussed and *** recent developments in SMC systems,future challenges and perspectives of SMC for power converters are discussed.

关键词： Motor drive power electronics systems sliding mode control

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Numerical simulation of piston rings in marine diesel engines considering thermal-fluid-structure factors: From normal to gas leakage conditions 24

Numerical simulation of piston rings in marine diesel engine...

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2024 International Conference on Industrial Automation and Robotics, IAR 2024

作者： Luo, Congcong Zhao, Minghang Fu, Song Zhang, Yan Han, Yan Huang, Qingqing Cui, Zhiquan Department of Mechanical Engineering Harbin Institute of Technology Shandong Weihai China School of Mechatronics Engineering Harbin Institute of Technology Heilongjiang Harbin China The Key Laboratory of Industrial Internet of Things and Networked Control Ministry of Education Chongqing University of Posts and Telecommunications Chongqing China School of Automotive Engineering Harbin Institute of Technology Shandong Weihai China

ISBN: (纸本)9798400711268

Worn piston rings disrupt the sealing performance of combustion chambers, reducing the compression ratio and combustion efficiency, thereby affecting engine power. Currently, limited in-depth simulations have been conducted on gas leakage of combustion chamber caused by piston ring faults. This paper presents a thermal-fluid-structure coupling simulation of a piston rings in a large marine diesel engine, focusing on the thermal parameter variations induced by its fault. The simulation results indicate that, under the given simulated conditions, the maximum deformation of the piston ring is 37.922 μm. As piston ring wear accumulates, both the velocity and pressure of gas leakage decrease, and the rate of decrease is diminished accordingly. Additionally, piston ring sticking may significantly raise gas pressure, resulting in a noticeable increase in the pressure drop at the inlet of ring-liner gap. © 2024 Copyright held by the owner/author(s).

关键词： Piston rings

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Dynamic Event-Triggered Fixed-Time Consensus Analysis of Multi-Agent Systems Under Input Delays and Switching Topologies 3

Dynamic Event-Triggered Fixed-Time Consensus Analysis of Mul...

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3rd IEEE Industrial Electronics Society Annual On-Line Conference, ONCON 2024

作者： Zhang, Yu Li, Yajing Ran, Guangtao Yu, Hao Ma, Guangfu Department of Automation Shenzhen518055 China Shanghai Institute of Aerospace System Engineering Shanghai200241 China Harbin Institute of Technology Department of Control Science and Engineering Harbin150001 China School of Automation Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9798331540319

This paper proposes a dynamic event-triggered control method for first-order multi-agent systems with input delays and disturbances under switching topologies. The controller design and its properties of dynamic event-triggered fixed-time consensus are presented in detail. Furthermore, agents can achieve consensus in a fixed time for any initial conditions and topologies that comply with the control protocol. Zeno behavior is avoided. Simulation examples demonstrate the effectiveness of the proposed algorithm and simulate scenarios in which the communication environment deteriorates due to external disturbances affecting the MASs. © 2024 IEEE.

关键词： Multi agent systems

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Data-Driven control of Distributed Event-Triggered Network Systems

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IEEE/CAA Journal of Automatica Sinica 2023年第2期10卷 351-364页

作者： Xin Wang Jian Sun Gang Wang Frank Allgower Jie Chen the National Key Laboratory of Autonomous Intelligent Unmanned Systems School of AutomationBeijing Institute of TechnologyBeijing 100081 the Beijing Institute of Technology Chongqing Innovation Center Chongqing 401120China IEEE the Institute for Systems Theory and Automatic Control University of StuttgartStuttgart 70550Germany the Department of Control Science and Engineering Tongji UniversityShanghai 201804 the National Key Laboratory of Autonomous Intelligent Unmanned Systems Beijing Institute of TechnologyBeijing 100081China

The present paper deals with data-driven event-triggered control of a class of unknown discrete-time interconnected systems(*** systems).To this end,we start by putting forth a novel distributed event-triggering transmission strategy based on periodic sampling,under which a model-based stability criterion for the closed-loop network system is derived,by leveraging a discrete-time looped-functional *** the model-based criterion with a data-driven system representation recently developed in the literature,a purely data-driven stability criterion expressed in the form of linear matrix inequalities(LMIs)is ***,the data-driven stability criterion suggests a means for co-designing the event-triggering coefficient matrix and the feedback control gain matrix using only some offline collected state-input ***,numerical results corroborate the efficacy of the proposed distributed data-driven event-triggered network system(ETS)in cutting off data transmissions and the co-design procedure.

关键词： Data-driven control distributed event-triggered network system(ETS) linear matrix inequalitie(LMI) looped-functional stability

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Galvanometer Motor control Based on Reinforcement Learning 5

Galvanometer Motor Control Based on Reinforcement Learning

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5th International Conference on Intelligent Autonomous Systems, ICoIAS 2022

作者： Liu, Kainan Cai, Xiaoshi Ban, Xiaojun Zhang, Jian Harbin Institute of Technology Dept of Control Science and Engineering Harbin150001 China Beijing Institute of Aerospace Control Devices Aerospace Motor Power Division Beijing100000 China Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin150001 China

ISBN: (数字)9781665498388

ISBN: (纸本)9781665498388

In order to address the problem that the control effect of the galvanometer motor is often dependent on the accuracy of the model parameters, this paper proposes a control method that is based on reinforcement learning. With the galvanometer motor in the steady state as the target, a state feedback control method incorporating an online update control strategy that does not depend on model parameters is proposed on the premise of obtaining the system order, and the method able to identify the state feedback coefficient. As suggested by the computer simulation results, the method proposed in this paper is capable of applying stable control on the galvanometer motor, and the iterative results are found consistent with the design results of the LQR method with the model, which ensures the reliability of the method. © 2022 IEEE.

关键词： Reinforcement learning

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Complex Permeability Determination for EE Core Based on Flexible PCB Fixture and Magnetic Flux Path Length Analysis 2

Complex Permeability Determination for EE Core Based on Flex...

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2nd China Power Supply Society Electromagnetic Compatibility Conference, CPEMC 2024

作者： Jie, Huamin Zhao, Zhenyu Chang, Yongqi Wang, Changdong Jiang, Shiqi Gao, Richard Xian-Ke See, Kye Yak School of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore Department of Electrical and Computer Engineering National Univeristy of Singapore Singapore Singapore Department of Control Science and Engineering Harbin Institute of Technology Harbin China School of Electronics and Information Engineering Harbin Institute of Technology Harbin China School of Electrical Engineering and Automation Harbin Institute of Technology Harbin China Institute of High Performance Computing A*STAR Singapore Singapore

ISBN: (纸本)9798331509552

The complex permeability of magnetic cores acts as a vital factor in electromagnetic interference (EMI) filtering choke design and optimization. Many efforts have been reported for toroid cores, but fewer target those with other shapes, such as EE, EI, UU, and UI cores. Owing to their commonly used in planar EMI filters, determining the complex permeability of them is of significance. Targeting EE cores, this paper presents a flexible printed circuit board (PCB)-based fixture adapter tailored designed for performing the measurement, while the corresponding core permeability can be calculated through magnetic flux path length analysis. The experiments validate the effectiveness and accuracy of the proposed methods, spanning a wide frequency range up to 120 MHz. ©2024 IEEE.

关键词： Magnetic flux

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Adaptive Active Fault-Tolerant Attitude control for Spacecraft with Adaptive Prescribed Performance 6

Adaptive Active Fault-Tolerant Attitude Control for Spacecra...

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6th International Symposium on Autonomous Systems, ISAS 2023

作者： Yang, Ze Yang, Baoqing Ji, Ruihang Ma, Jie Harbin Institute of Technology Control and Simulation Center Harbin China National University of Singapore Department of Electrical and Computer Engineering Singapore

ISBN: (纸本)9798350316155

For spacecraft attitude control affected by environmental disturbance, parameter uncertainty and actuator fault, a novel composite active fault-tolerant scheme, combining a strong tracking Cubature Kalman filter (STCKF) with adaptive prescribed performance control (APPC), is investigated in this paper. The proposed STCKF is capable of estimating lumped fault rapidly but accurately, and it is robust to model uncertainty. An adaptive finite-time prescribed performance function (APPF) whose boundaries can be flexibly adjusted in the case of actuator faults is proposed. Then an active fault tolerant controller is designed using nonsingular terminal sliding mode control (NTSMC) in conjunction with APPF. Simulation experiments and comparisons show that the proposed strategy exhibits better fault tolerance, lower conservatism and better steady-state performance. © 2023 IEEE.

关键词： Attitude control

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Channel and Spatial Attention Mechanism-based Yolo Network for Target Detection of the Lung Ultrasound Scanning Robot 9

Channel and Spatial Attention Mechanism-based Yolo Network f...

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9th International Conference on control Science and Systems engineering, ICCSSE 2023

作者： Zhang, Boheng Xu, Kun Cong, Haibo Sun, Mingjian Harbin Institute of Technology Department of Control Science and Engineering Harbin China School of Information Science and Engineering Harbin Institute of Technology Weihai China Shandong First Medical University Department of Orthopedics Jinan China

ISBN: (纸本)9798350339055

Ultrasonography is the preferred method for detecting lung lesions, which has been widely recognized and adopted. In order to reduce the work stress and risk of infection for health care workers, lung ultrasound (LUS) scanning robots can be used to perform this task instead of doctors. For the LUS scanning robot, the first critical step is the detection of the scanned areas of the patient's lungs. The algorithms using computer vision and deep learning have made significant progress in the field of target detection, which are being applied more and more frequently to robotic autonomous decision-making. However, some of the performance of the traditional convolutional neural networks (CNN) still needs to be improved due to the more stringent requirements for real-Time, accuracy and hardware cost of LUS scanning robots. The effectiveness of CNN combined with computer vision for detecting scanned sites in LUS scanning robots is explored and a lightweight Yolo network based on the attention mechanism is proposed. We use Yolo V4-Tiny model as the backbone network. Then the depth feature information of the feature layer output from the backbone network are extracted by adding space and channel attention mechanism, and the prediction results are output by using Yolo head model. Meanwhile, we also optimize the loss function of the network to further improve the performance of the network. Compared to several classical algorithms, the proposed method improves the target detection performance of the LUS scanning robot, which achieves 98.83% average precision, 96.87% precision, and 91.00% F1 score. We apply the proposed algorithm to the designed LUS scanning robot system and conduct clinical experiments. The results have shown that the proposed method has a 3D localization accuracy of 7.53 ± 0.37mm for the lung scanned sites, which has the potential to be applied to the target detection of the LUS scanning robot. © 2023 IEEE.

关键词： Ultrasonic applications

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Sequential fusion state estimation algorithm for multi-sensor nonlinear systems with cross-correlated noise

Sequential fusion state estimation algorithm for multi-senso...

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2022 Chinese Automation Congress, CAC 2022

作者： Cheng, Guo-Rui Zhao, Kai Liu, Ting-Rui Song, Shen-Min Harbin Institute of Technology Center for Control Theory and Guidance Technology Harbin China Beijing Institute of Astronautical Systems Engineering Beijing China

ISBN: (纸本)9781665465335

This paper is concerned the problem of multi-sensor state estimation with cross-correlated noise, this paper adopts sequential fusion to estimate the state. The statistical characteristics of measurement noise of different sensors in the multi-sensor system is related, and also related to the system noise in one step. Firstly, based on the estimation of observation noise, a global optimal fusion filter based on sequential fusion and Cubature Kalman filter is proposed for the first time. Secondly, the algorithm proposed in this paper is simulated by numerical method. The method of numerical realization is Cubature Kalman filter based on deterministic sampling. Finally, the effectiveness of the proposed algorithm is demonstrated by a simulation example. © 2022 IEEE.

关键词： State estimation

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Path Planning Using Improved Hybrid A∗ Algorithm for Mobile Robots 25

Path Planning Using Improved Hybrid A∗ Algorithm for Mobile...

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25th IEEE China Conference on System Simulation technology and its Application, CCSSTA 2024

作者： Cheng, Zikang Xue, Jingbo Wang, Bo Dong, Guangzhong Wei, Jingwen Chen, Chunlin Nanjing University Department of Control Science and Intelligence Engineering Naning China Harbin Institute of Technology Shenzhen School of Mechanical Engineering and Automation Shenzhen China

ISBN: (纸本)9798350366600

The Hybrid A∗ algorithm is suitable for Ackermann-type mobile robots with nonholonomic constraints. However, in practical path planning, such issues as long search times, inefficient search efficiency, and excessive planning path changes causing unstable robot motion still exist. To improve the effectiveness of path planning, this paper optimizes the Hybrid A∗ algorithm by using variable search step size and designing a path evaluation function during node expansion. Path planning experiments are conducted based on simulation and physical experimental platforms. The results show that the improved algorithm reduces the search nodes and planning time, effectively enhancing the algorithm's search performance and efficiency. In addition, it avoids pose errors caused by reverse driving, ensuring the priority and smoothness of forward driving, and achieves efficient and stable path planning for Ackermann-type mobile robots. © 2024 IEEE.

关键词： Mobile robots

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