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2020 Chinese Automation Congress, CAC 2020

作者： Chen, Lei Niu, Yugang Jia, Tinggang East China University of Science and Technology The Key Laboratory of Advanced Control and Optimization for Chemical Process Shanghai China Shanghai Electric Automation Group Shanghai200023 China

ISBN: (纸本)9781728176871

Microgrid is an advanced application of distributed renewable energy utilization. With the development of energy Internet technology, microgrid is characterized by strong decentralization and high intelligence. The operation optimization of microgrid requires higher individual autonomy and rational ability, and the traditional centralized optimization is difficult to meet this development trend. In this paper, in order to better reflect the high autonomy of microgrid energy management, a distributed optimization based on potential game is proposed by comprehensively considering multiple independent individuals in the microgrid. Under this strategy, each individual makes decisions with the goal of maximizing their own profits, and completes the iterative solution of the strategy through communication with each other. Finally, a simulation example of islanded microgrid is used to verify the results, which shows that the individual autonomy and intelligence of the microgrid were improved, and the feasibility and effectiveness of the strategy are verified. © 2020 IEEE.

关键词： Energy management

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Model Free Adaptive control Algorithm based on GRU network

Model Free Adaptive Control Algorithm based on GRU network

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第33届中国控制与决策会议

作者： Jinggao Sun Xianfeng Chen Guanghao Su Hongguang Pan Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of EducationEast China University of Science and Technology School of Electrical and Control Engineering Xi'an University of Science and Technology

The application of traditional adaptive control algorithm usually depends on the precise mathematical model of process,but it is difficult to establish a mathematical model for a dynamic *** existing Model Free Adaptive(MFA) control algorithm structure is based on Back Propagation(BP) Neural Network,which does not fully take into account the continuous characteristic relationship between the input timing error *** to this actual problem,an improved MFA control algorithm based on Gated Recurrent Unit(GRU) network is proposed in this paper,compared with BP network,GRU network has more advantages in processing timing *** fully considers the information of error sequence,and more appropriate manipulated variable could be generated automatically to satisfy the demand of an open-loop stable and controllable single-variable,multivariable or large delay process system without the need for complicated manual adjustments,quantitative knowledge of the process or the identifier of the controlled system and learning *** results demonstrate that the GRU-MFA learning algorithm performs better in terms of stability,response speed and adaptability than the BP-MFA algorithm without human intervention.

关键词： Model free adaptive control Timing error sequences Gated recurrent unit Learning algorithm

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Improved LMI-based conditions for designing of PD-type ILC laws for linear batch processes over two-dimensional setting

Improved LMI-based conditions for designing of PD-type ILC l...

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International Conference on control, Automation, Robotics and Vision (ICARCV)

作者： Robert Maniarski Wojciech Paszke Hongfeng Tao Shoulin Hao Institute of Automation Electronic and Electrical Engineering University of Zielona Góra Zielona Góra Poland Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education Jiangnan University Wuxi China Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Dalian China

ISBN: (纸本)9781665476881

This paper considers the problem of designing of iterative learning control (ILC) laws for linear batch processes. Unlike the majority of existing results about ILC law design for linear batch processes over repetitive/two-dimensional setting where Lyapunov theory is applied, this study is focused on formulating the ILC law design procedures by transforming it into an equivalent problem of (structural) stability analysis for a linear Roesser model for two-dimensional (2D) systems. Then, based on a non-conservative version of stability and stabilization conditions for linear 2D systems, suitable PD-type ILC laws are derived by the application of the linear matrix inequality (LMI) approach. Finally, a numerical example is given to show the validity of the proposed design procedure and some advantages are emphasized when compared to the existing alternatives.

关键词： State feedback Uncertainty Two dimensional displays Batch production systems Stability analysis Structural engineering Numerical models

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Linear parameter varying control of wind energy conversion systems in partial load 19

Linear parameter varying control of wind energy conversion s...

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19th International Conference on Machine Learning and Cybernetics, ICMLC 2020

作者： Xu, Jing Sun, Qing East China University of Science and Technology Ministry of Education The Key Laboratory of Advanced Control and Optimization for Chemical Process Shanghai200237 China Shanghai University Shanghai Key Laboratory of Power Station Automation Technology School of Mechatronical Engineering and Automation Shanghai200072 China

ISBN: (纸本)9780738124261

This paper is dealt with the rotor speed tracking problem of variable-speed wind turbine systems operating under the partial load condition. Singular perturbation techniques are used to characterize the two-time-scale property of the wind turbine system, and a linear parameter varying (LPV) model is formed to approximate nonlinear behaviours of a wind turbine system. Based on the slow-fast decomposition method, slow and fast subsystems are constructed: one for the mechanical dynamics and the other for the electrical dynamics. Slow and fast controls are derived, respectively, and then a local state feedback controller, sum of the slow and fast control, is formulated. A design procedure, using the linear parameter varying control to combine local controllers, is proposed to guarantee the robustness of the closed-loop nonlinear wind turbine system. Numerical examples are given to show the validity of the proposed control scheme. © 2020 IEEE.

关键词： Wind turbines

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Delay-dependent output feedback integral sliding mode control of singularly perturbed systems

Delay-dependent output feedback integral sliding mode contro...

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International Conference on control and Automation (ICCA)

作者： Jing Xu Yugang Niu Key Laboratory of Advanced Control and Optimization for Chemical Process East China University of Science and Technology Shanghai China

ISBN: (数字)9781728190938

ISBN: (纸本)9781728190945

This paper presents a descriptor system method for output feedback integral sliding mode control of singularly perturbed systems. The fast state, representing the derivative of output, is approximated with aid of an artificial time-delay estimator. Then, a delay-dependent integral sliding mode controller is designed to ensure the occurrence of sliding phase since the initial time instant. The finite frequency uncertainty is divided into the matched and uncertainty uncertainty. On this basis, the proposed controller contains the nominal part to attain the robustness to the unmatched uncertainty, and the switching part to compensate the matched uncertainty. Finally, the effectiveness of the design method is verified in a mass-damper-spring system subject to finite frequency perturbations.

关键词： Uncertainty Output feedback Perturbation methods Sliding mode control Linear matrix inequalities Delay effects Matrix decomposition

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Data-driven Scheduling optimization of Ethylene Cracking Furnace System

Data-driven Scheduling Optimization of Ethylene Cracking Fur...

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第32届中国控制与决策会议

作者： Xinwei Lin Liang Zhao Wenli Du Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology

The ethylene cracking furnace system convert a variety of hydrocarbon feeds into products such as ethylene and propylene in parallel. During the cracking process, the coke produced by the cracking will degrade the performance of the cracking furnace, so the furnace should be cleaned periodically. Scheduling of the cracking furnace system involves various raw materials, multiple furnaces, and multiple constraints, so it is a difficult mathematic programming problem. Previous studies have simplified the optimization model to obtain a corresponding mixed integer nonlinear programming（MINLP） model. In order to make the scheduling more suitable for the actual process, this paper develops the transfer-line exchanger（TLE） model, fuel consumption model, and super-high pressure steam（SS） model by using the actual plant data. A case study is put forward to demonstrate the effectiveness of the proposed method.

关键词： Ethylene cracking furnace system scheduling MINLP TLE

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Data-driven Scheduling optimization of Ethylene Cracking Furnace System

Data-driven Scheduling Optimization of Ethylene Cracking Fur...

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Chinese control and Decision Conference, CCDC

作者： Xinwei Lin Liang Zhao Wenli Du Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai China

ISBN: (数字)9781728158556

ISBN: (纸本)9781728158563

The ethylene cracking furnace system convert a variety of hydrocarbon feeds into products such as ethylene and propylene in parallel. During the cracking process, the coke produced by the cracking will degrade the performance of the cracking furnace, so the furnace should be cleaned periodically. Scheduling of the cracking furnace system involves various raw materials, multiple furnaces, and multiple constraints, so it is a difficult mathematic programming problem. Previous studies have simplified the optimization model to obtain a corresponding mixed integer nonlinear programming (MINLP) model. In order to make the scheduling more suitable for the actual process, this paper develops the transfer-line exchanger (TLE) model, fuel consumption model, and super-high pressure steam (SS) model by using the actual plant data. A case study is put forward to demonstrate the effectiveness of the proposed method.

关键词： Furnaces Feeds Mathematical model Job shop scheduling Raw materials optimization Fuels

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Gas Leakage Segmentation in Industrial Plants

Gas Leakage Segmentation in Industrial Plants

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Chinese Automation Congress (CAC)

作者： Haoqi Lin Xiaojing Gu Jingyu Hu Xingsheng Gu Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

Industrial gas leakage in chemical plants presents a high risk to health and safety, also makes a huge waste of production materials. In this paper, we propose an automatic gas segmentation method for optical gas imaging (OGI) videos, which can not only indicate the existence of leakage in frames but also show the precise locations and shapes of gas plumes. Specifically, we propose a novel video segmentation network that stacks 2D spatial convolutions, 1D temporal convolutions and 3D spatial-temporal convolutions together within an encoder-decoder structure, termed 2.5D-Unet. Stacking mixed convolutions increases the representation ability of network for leakage's appearance and motion. More importantly, stacking mixed convolutions facilitates pre-training of model using still images of smoke, which is especially useful when lacking of labeled videos of leaked gas. Experimental results show, for OGI video-based gas leakage segmentation, our method outperforms existing video segmentation methods.

关键词： Videos Feature extraction Image segmentation Chemicals Data mining Three-dimensional displays Task analysis

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Finite-time Boundedness of T-S Fuzzy Systems Subject to Injection Attacks: A Sliding Mode control Method ⁎

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IFAC-PapersOnLine 2020年第2期53卷 5075-5080页

作者： Zhina Zhang Jun Song Yuanyuan Zou Yugang Niu The Key Laboratory of Advanced Control and Optimization for Chemical Process East China University of Science and Technology Shanghai 200237 China Department of Automation Shanghai Jiao Tong University Shanghai 200240 China

This paper studies the sliding mode control for T-S fuzzy systems in the framework of finite-time boundedness. It is assumed that the control signals are transmitted via vulnerable channels, where injection attacks might happen. A fuzzy sliding mode controller is firstly synthesized to guarantee the finite-time reachability of the prescribed sliding surface and attenuate the effect of the injection attacks. By introducing a partitioning strategy, the finite-time boundedness over both the reaching phase and the sliding motion phase are analyzed. Furthermore, sufficient criteria are derived such that the closed-loop system is finite-time bounded over the whole specified finite-time interval despite of the injection attacks. An optimal algorithm is further provided for searching ideal control gains with fewer energy demands. Finally, a simulation example verifies the proposed sliding mode control approach.

关键词： T-S fuzzy system sliding mode control finite-time boundedness partitioning strategy injection attacks

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Global Sensitivity Analysis for a perfusion bioreactor system in tissue engineering

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IFAC-PapersOnLine 2021年第15期54卷 550-555页

作者： Ioana Nascu Tao Chen Wenli Du Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai 200092 China Department of Chemical and Process Engineering University of Surrey GU2 7XH Guildford United Kingdom

This work presents a global sensitivity analysis and simulations of a perfusion bioreactor process using the method of high-dimensional model representation (HDMR). This method was developed to express the input–output relationships of a complex model with a high dimensional input space. The comprehensive mathematical model of convection and diffusion in a perfusion bioreactor, combined with cell growth kinetics, is developed and implemented using Computational Fluid Dynamics (with the commercial software COMSOL Multiphysics v5.5). The model describes the spatio-temporal evolution of glucose concentration, oxygen concentration, lactate concentration and cell density within a 3D polymeric scaffold. A quantitative analysis of the complex kinetic mechanisms using recent development of advanced mathematical approaches to global sensitivity and uncertainty analysis through HDMR can be exploited to investigate the important features of the perfusion bioreactor process as well as possible factors underlying qualitative discrepancies.

关键词： tissue engineering perfusion bioreactor CFD modeling high-dimensional model representation global sensitivity analysis

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