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Similitude design for the vibration problems of plates and shells： A review

Frontiers of Mechanical engineering 2017年第2期12卷 253-264页

作者： Yunpeng ZHU You WANG Zhong LUO Qingkai HAN Deyou WANG Department of Automatic Control and System Engineering SheffieldUniversity Sheffield S13JD UK School of Mechanical Engineering and Automation NortheasternUniversity Shenyang 110819 China School of Mechanical Engineering Dalian University of TechnologyDalian 116023 China AECC Shenyang Aero-engine Institute Shenyang 110042 China

Similitude design plays a vital role in the analysis of vibration and shock problems encountered in large engineering equipment. Similitude design, including dimensional analysis and governing equation method, is founded on the dynamic similitude theory. This study reviews the application of similitude design methods in engineering practice and summarizes the major achieve- ments of the dynamic similitude theory in structural vibration and shock problems in different fields, including marine structures, civil engineering structures, and large power equipment. This study also reviews the dynamic similitude design methods for thin-walled and composite material plates and shells, including the most recent work published by the authors. Structure sensitivity analysis is used to evaluate the scaling factors to attain accurate distorted scaling laws. Finally, this study discusses the existing problems and the potential of the dynamic similitude theory for the analysis of vibration and shock problems of structures.

关键词： review dynamic similitude vibration modeltest

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Semi-Global Output Containment control of Linear Multi-agent systems with Actuator Saturation

Semi-Global Output Containment Control of Linear Multi-agent...

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第37届中国控制会议

作者： Liangren Shi Zongli Lin Student Innovation Center and Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information Processing of the Ministry of Education Charles L. Brown Department of Electrical and Computer Engineering University of Virginia

In this paper, we study the semi-global output containment control problem of a multi-agent system in the presence of actuator saturation over a directed network. The leader and follower agents are of different dynamics, and the follower agents are affected by disturbances generated by the leader agents through directed paths in the communication topology. The control objective of the output containment control is to drive the output trajectories of the follower agents to converge to the convex hull spanned by the outputs of the leader agents in the presence of disturbances. Low gain feedback containment protocols are constructed based on the output regulation approach and distributed observers. It is shown that semi-global output containment control can be achieved by the proposed protocols, if each follower agent is connected to at least one leader agent through a directed path in the communication topology. Simulation results verify the theoretical conclusions.

关键词： Multi-agent systems output containment control output regulation low gain feedback actuator saturation

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Event-Triggered Global Leader-Following Consensus for Multi-agent systems with Bounded controls 36

Event-Triggered Global Leader-Following Consensus for Multi-...

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第36届中国控制会议

作者： Yijing Xie Zongli Lin Department of Automation and Key Laboratory of System Control and Information Processing of the Ministry of EducationShanghai Jiao Tong University Charles L.Brown Department of Electrical and Computer Engineering University of Virginia

ISBN: (纸本)9781538629185

This paper studies the global leader-following consensus problem for a multi-agent system using event-triggered bounded *** the follower agents and the leader agent are described by a chain of integrators of an arbitrary *** event-triggered control law is constructed for each follower agent and an event-triggering strategy is designed for updating the control *** event-triggered control laws are shown to achieve global leader-following consensus when the communication topology among the follower agents is connected and the leader is a neighbor of at least one follower *** absence of the Zeno behavior is established.A self-triggering strategy is also proposed to avoid continuous verification of the triggering *** results are given to illustrate the theoretical results.

关键词： Multi-agent systems event-triggered control self-triggering strategy bounded controls leader-following consensus

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Regional Leader-following Consensus of Multi-agent systems with Saturating Actuators 36

Regional Leader-following Consensus of Multi-agent Systems w...

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第36届中国控制会议

作者： Yuanlong Li Zongli Lin Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information Processing of Ministry of Education Charles L.Brown Department of Electrical and Computer Engineering University of Virginia

ISBN: (纸本)9781538629185

For a linear system that has a pole in the open right-half plane and is subject to actuator saturation,global asymptotically stabilization cannot be *** a result,a multi-agent system containing such an actuator saturating agent can only reach regional consensus,that is,consensus can be achieved only when the initial state of each agent resides in a region of the state *** region of all these initial states is referred to as the domain of *** general,the domain of consensus cannot be exactly *** this paper,we consider the problem of estimating the domain of consensus of a multi-agent system with an agent subject to actuator saturation.A set of necessary and sufficient conditions under which an ellipsoidal set can be used as an estimate of the domain of consensus are *** on these conditions,an LMI-based optimization problem is formulated for obtaining the largest ellipsoidal estimate of the domain of *** results illustrate the effectiveness of the proposed approach and show the relationship between the size of the largest ellipsoidal estimate and the communication topology of the multi-agent system.

关键词： Multi-agent systems actuator saturation regional consensus domain of consensus

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Soft-Sensing Estimation of Optical Density for PHA Production Using Multilayer Perceptron Neural Network

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Journal of Physics: Conference Series 2020年第1期1532卷

作者： Nor Hana Mamat Samsul Bahari Mohd Noor Azura Che Soh Farah Saleena Taip Ahmad Hazri Ab. Rashid Nur Liyana Jufika Ahmad Ishak Mohd Yusof Adida Zuraida Mohamad Control System and Signal Processing Research Centre Department of Electrical & Electronic Engineering Faculty of Engineering Universiti Putra Malaysia 43400 UPM Serdang Selangor. Faculty of Electrical and Automation Engineering Technology TATI University College Teluk Kalong 24000 Kemaman Terengganu. Food and Process Department Faculty of Engineering Universiti Putra Malaysia 43400 UPM Serdang Selangor. Industrial Biotechnology Research Centre SIRIM Berhad Persiaran Dato' Menteri Seksyen 2 40700 Shah Alam Selangor.

Biomass concentration is an important indicator of production rate in polyhydroxyalkanoates (PHA) fermentation process. In current practice, measurement of biomass concentration is done off-line by laboratory analysis that is unsuitable for online process monitoring and control. Soft-sensor is often used as an alternative that provides an estimate of hard to measure parameters from easy to measure process data. However, most of these studies use simulated data or data generated from mathematical model that was developed without full consideration of process and measurement uncertainty. In this study, a soft-sensor is developed from real production data for PHA fermentation in pilot-scale bioreactor with the appropriate data pre-processing techniques applied to process data that was obtained from this system. Multilayer perceptron (MLP) neural network is used to estimate biomass concentration using secondary process parameters such as dissolved oxygen (DO), temperature, pH and agitation speed as inputs. Different models are developed based on different batches of production data and various network architecture in order to study the appropriate integration of process data and network topology that gives the best model accuracy. Results indicate that the biomass soft-sensor developed using MLP-ANN provides a better estimate of biomass in comparison to radial basis function (RBF) neural network and support vector regression (SVR) methods. The developed soft-sensor can be further used in monitoring and control of production output.

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Process map for collision avoidance based on information exchange for autonomous navigation of vessel

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IOP Conference Series: Materials Science and engineering 2020年第1期929卷

作者： Ho Namgung Jung Sik Jeong Kwangil Lee Sun-Young Kim Graduate school of Maritime Transportation System Mokpo National Maritime University Mokpo Republic of Korea Department of Maritime Transportation Science Mokpo National Maritime University Mokpo Republic of Korea Department of Control and Automation Engineering Korea Maritime and Ocean University Busan Republic of Korea Maritime Safety and Environmental Research Division Korea Research Institute of Ships & Ocean Engineering Daejeon Republic of Korea jsjeong@mmu.ac.kr

A reliable collision avoidance method is essential when operating an autonomous vessel. For this to become a reality, a number of researches have been conducted in order that the autonomous vessel could take an action for collision avoidance by herself. However, it may lead to dangerous situation without knowing the navigation intention of target-ships. In order to solve the issue, we developed the process map for collision avoidance based on information exchange via the communication relay system as follows: (i) the navigation situation analysis of the autonomous vessel was conducted based on manned ship voyage definition; (ii) the sequence diagram for information exchange was developed based on the autonomous vessel's navigation context and the communication relay system, and (iii) the process map for collision avoidance based on information exchange was proposed based on the developed sequence diagram and the existing collision avoidance method. It would be expected that the autonomous vessel could avoid collision more safely than taking an action by herself.

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City-specific vehicle emission control strategies to achieve stringent emission reduction targets in China's Yangtze River Delta region

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Journal of Environmental Sciences 2017年第1期29卷 75-87页

作者： Shaojun Zhang Ye Wu Bin Zhao Xiaomeng Wu Jiawei Shu Jiming Hao University of Michigan Department of Mechanical EngineeringAnn ArborMI 48109USA Tsinghua University State Key Joint Laboratory of Environment Simulation and Pollution ControlSchool of EnuironmentBeijing 100084China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084China Joint Institute for Regional Earth System Science and Engineering Department of Atmospheric and Oceanic SciencesUniversity of CaliforniaLos AngelesCalifornia 90095USA

The Yangtze River Delta（YRD） region is one of the most prosperous and densely populated regions in China and is facing tremendous pressure to mitigate vehicle emissions and improve air *** assessment has revealed that mitigating vehicle emissions of NOx would be more difficult than reducing the emissions of other major vehicular pollutants（e.g.,CO,HC and PM_（2.5）） in the YRD *** in Shanghai,where the emission control implemented are more stringent than in Jiangsu and Zhejiang,we observed little to no reduction in NOx emissions from 2000 to ***-reduction targets for HC,NOx and PM_（2.5） are determined using a response surface modeling tool for better air *** design city-specific emission control strategies for three vehicle-populated cities in the YRD region：Shanghai and Nanjing and Wuxi in *** results indicate that even if stringent emission control consisting of the Euro 6/VI standards,the limitation of vehicle population and usage,and the scrappage of older vehicles is applied,Nanjing and Wuxi will not be able to meet the NOx emissions target by ***,additional control measures are proposed for Nanjing and Wuxi to further mitigate NOx emissions from heavy-duty diesel vehicles.

关键词： Vehicle Emission control Scenario Yangtze River Delta

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Fuzzy-based Tracking controller Design for Autonomous Underwater Vehicle 36

Fuzzy-based Tracking Controller Design for Autonomous Underw...

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第36届中国控制会议

作者： Hongjun Ban Xian Yang Xiaoyuan Luo Jing Yan Xinping Guan Institute of Electrical Engineering Yanshan University Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China Institute of Information Science and Engineering Yanshan University

ISBN: (纸本)9781538629185

Autonomous Underwater Vehicle（AUV） is referred as a promising device to extend human intelligences to harsh underwater *** applications of AUV demand accurate trajectory tracking,however the nonlinear and model inaccuracy constraints on AUV make it challenging to achieve tracking *** this paper,we are concerned with the trajectory tracking problem for *** AUV is assumed to be auto navigated in surge,sway,heave and *** first give the 4-DOF mathematical model of ***,the tracking control problem is formulated into T-S fuzzy *** on this,T-S fuzzy-based position and head controllers,which depend on the relative state errors between the AUV and reference,are designed for AUV to achieve the trajectory tracking ***,simulation results are presented to show the effectiveness of the proposed tracking controllers,wherein the influence of chattering problem can be reduced by compared with SMC-based controller.

关键词： Autonomous underwater vehicle（AUV） tracking target fuzzy underwater

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Conditions for Global Asymptotic Stabilizability of the Double Integrator system with Output Saturation

Conditions for Global Asymptotic Stabilizability of the Doub...

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Chinese control Conference (CCC)

作者： Yuanlong Li Zongli Lin Department of Automation Key Laboratory of System Control and Information Processing of Ministry of Education Shanghai P. R. China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia Charlottesville VA USA

In this paper we revisit the problem of global asymptotic stabilization of the double integrator system subject to output saturation. We first observe that the double integrator system cannot be asymptotically stabilized by linear static output feedback. We then establish that there exist linear dynamic output feedback laws that globally asymptotically stabilize the double integrator system subject to output saturation. The determination of the linear output feedback laws is presented in the form of an algorithm. Simulation results illustrate that the linear dynamic output feedback laws have the ability to achieve global asymptotic stabilization of the double integrator system subject to output saturation.

关键词： Output feedback Linear systems Heuristic algorithms Closed loop systems Actuators Trajectory

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Preventive Soot Blowing Strategy Based on State of Health Prediction for Coal-fired Power Plant Boiler

Preventive Soot Blowing Strategy Based on State of Health Pr...

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Chinese control Conference (CCC)

作者： Yuanhao Shi Jie Wen Xiaoqiong Pang Jianfang Jia Fangshu Cui Jianchao Zeng Jingcheng Wang North University of China School of Electrical and Control Engineering Taiyuan China North University of China School of Computer Science and Technology Taiyuan China Department of Automation and Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University Shanghai China

This paper seeks the optimization of soot-blowing operations for heat transfer surfaces in coal- fired power plant boiler. A preventive soot blowing strategy based on state of health prediction for heat transfer surface was proposed. The average state of health of heat transfer surface was forecasted as the threshold to draft preventive soot blowing strategy. According to the theory of renewal process, an optimization model with the system prediction interval and the threshold of preventive soot blowing operation as the optimization variables and minimize average energy losses as the target function was established. By using Particle Swarm Optimization (PSO), the optimal preventive cycle and soot-blowing threshold were obtained, and the long-run average cost rate was the lowest. The model is validated with experiment data of a 300MW coal-fired power plant boiler and the parameters of prediction model are obtained. The results can verify the feasibility of proposed strategy. It can be used as the guide for the optimization of soot blowing in coal-fired power plant to improve the energy conservation level.

关键词： Thermal engineering Radio frequency Coal Combustion Heat engines Heat transfer

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