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Chinese control Conference (CCC)

作者： Xing Chen Shang Guau Yong He Lin Jiang China University of Geosciences Wuhan Hubei CN Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan P. R. China University of Liverpool Liverpool UK

In modern power systems, load frequency control (LFC) scheme usually operates in the discrete mode, while the most existing LFC schemes are designed in the continuous mode, such that those LFC schemes do not work usually in their best manner in practice. In this paper, a method of state-feedback controller design of load frequency control (LFC) for one-area system is discussed in continuous-discrete mode via sampled-data control scheme. At first, the model of LFC is constructed in continuous-discrete mode by using the input delay method. Then, a new method is present to design a state-feedback controller. Finally, a case study is given to show the effectiveness and the benefits of the proposed method.

关键词： Delays Symmetric matrices Frequency control Generators control systems Power system dynamics

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Establishment and Optimization of Gas Flow Prediction Model for Annealing Furnace Based on GA-SVM

Establishment and Optimization of Gas Flow Prediction Model ...

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第37届中国控制会议

作者： Qilin Qu Yan Yuan Jin Yali Yongyue Zhang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex System School of Information Science and Engineering Central South University

The annealing furnace is an important equipment for annealing in the production process of cold rolled strip steel. The temperature accuracy of the steel coil is directly affected the production quality of the steel plate. In the annealing furnace temperature control system, strip temperature control is mainly decided by various furnace annealing furnace gas flow in the area, so setting up a precise model between gas flow and temperature has become an important problem of the control system of annealing furnace. In this paper, SVM is applied to the prediction model of the gas flow in the annealing furnace since it’s suitable for nonlinear and high dimensional problems as a machine learning method. In view of that the choice of C, G and the model parameters of the SVM directly affect the prediction precision of the model, this paper uses GA to optimize these two parameters. Finally, we use the data of field production as training and testing samples to establish and verify the model. The experimental results showed that the established model well achieved the requirements of the accuracy of the target.

关键词： Annealing furnace Gas flow Model Support Vector Machine Genetic Algorithm

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Synchronization Tracking of Heterogeneous Robotic systems with Parametric Uncertainties and Communication Delays 5

Synchronization Tracking of Heterogeneous Robotic Systems wi...

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5th International Conference on Information, Cybernetics, and Computational Social systems, ICCSS 2018

作者： Yao, Xiang-Yu Ge, Ming-Feng Ding, Hua-Feng Wang, Leimin Liu, Jie Han, Tao Liu, Zhi-Wei School of Mechanical Engineering and Electronic Information China University of Geosciences Wuhan430074 China School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Huazhong University of Science and Technology Wuhan430074 China School of Hydropower and Information Engineering Huazhong University of Science and Technology Wuhan430074 China College of Mechatronics and Control Engineering Hubei Normal University Huangshi435002 China School of Automation Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9781538670880

This paper studies synchronization tracking problems of heterogeneous robotic systems in the presence of kinematic uncertainties, dynamic uncertainties and communication delays. To solve the above problems, this paper develops cooperative adaptive controllers based on directed topologies containing spanning trees, which relaxes the constraints on communications than the previous works with undirected or strongly connected topologies. By invoking Lyapunov stability and Input-output stability techniques, sufficient criteria for asymptotical stability of the systems are obtained. Moreover, the obtained results are expanded to formation problems in similar cases. Finally, the validity of the theoretical results and the numerical comparisons with existing work are supported by numerous simulations. © 2018 IEEE.

关键词： Topology

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Design of Distributed Three Component Seismic Data Acquisition System Based on LoRa Wireless Communication Technology

Design of Distributed Three Component Seismic Data Acquisiti...

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Chinese control Conference (CCC)

作者： Pei Gao Zhihua Li Fan Li Hongwei Li Zikun Yang Wenqi Zhou School of Automation china University of Geosciences Wuhan P. R. China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan P. R. China

The traditional wired seismograph has disadvantages such as cumbersome cable, complicated wiring, crosstalk and noise between adjacent transmission lines. In addition, the dynamic range of the instrument is small, and the observation of seismic signals is not intuitive, which can not meet the needs of high-precision seismic exploration. In order to solve these problems, the design of distributed three component seismic data acquisition system based on LoRa wireless communication technology is proposed. The system uses LoRa long-distance wireless communication technology and 24 bit Σ-Δ ADC, which realizes long-distance wireless communication and large dynamic range seismic data acquisition. Besides, the system has man-machine interaction interface, which can observe the parameters of seismic waveform in real time and adjust sampling rate directly. The whole circuit has the advantages of simple design, high precision and good stability. To sum up, the design has certain practical value and application prospect.

关键词： Wireless communication Data acquisition Power supplies Dynamic range Instruments Monitoring Real-time systems

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An Improved Equivalent-Input-Disturbance Approach for Disturbance-Rejection Using High-Gain Observer

An Improved Equivalent-Input-Disturbance Approach for Distur...

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第37届中国控制会议

作者： Youwu Du Weihua Cao Jinhua She Mingxing Fang Zibao Lu School of Automation China University of Geosciences College of Physics and Electronic Information Anhui Normal University Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Engineering Tokyo University of Technology

An improved equivalent-input-disturbance(EID) approach is presented in this paper to promote the transient performance of disturbance rejection in the control system. A high-gain observer(HGO) is introduced to the conventional EID method to accelerate the convergence of state error. This makes the estimated disturbance tracking the exogenous disturbance more quickly and more precisely. First, the configuration of an improved EID-based control system is described. Then, a sufficient stability condition is derived in terms of a linear matrix inequality(LMI). The resulting LMI is used to find the gains of state observer and state feedback controller. Finally, the validity of the devised method and its superiority over a conventional EID method is demonstrated through the simulation of a numerical example.

关键词： Disturbance rejection disturbance estimation equivalent input disturbance（EID） high-gain observer linear matrix inequality（LMI）

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Synchronization of fractional-order gene regulatory network with delay 36

Synchronization of fractional-order gene regulatory network ...

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第36届中国控制会议

作者： Feng Liu Zhe Zhang Ren Jie Sun Fenglan School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Research Center of System Theory & Application Chongqing University of Posts and Telecommunications

ISBN: (纸本)9781538629185

This paper investigates the problem of Synchronous control of Fractional gene regulatory *** on the Lyapunov stability judgment method,we apply two kinds of control method,adaptive projection control and adaptive sliding mode control,for making system ***,a numerical simulation example is provided to verify the effectiveness and the benefit of the proposed synchronicity criterion.

关键词： Fractional-order synchronization adaptive projection control adaptive sliding mode control

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Aeromagnetic compensation of Rotor UAV Based on Least Squares

Aeromagnetic compensation of Rotor UAV Based on Least Square...

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第37届中国控制会议

作者： Han Li Jian Ge Haobin Dong Xiangyu Qiu Wang Luo Huan Liu Zhiwen Yuan Jun Zhu Haiyang Zhang School of Automation China University of Geosciences School of Automation China University of Geosciences Wuhan Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan Institute of Geophysics & Geomatics China University of GeosciencesWuhan

Aeromagnetic survey is widely used in geophysical exploration because of large exploration range and little limitations on geographical environment. Aiming at the problem using manned aircraft in aeromagnetic survey, an aeromagnetic system of rotor unmanned aerial vehicle(UAV) based on Overhauser sensor is established. It can carry out high-precision geomagnetic measurement with small magnetic interference and omidirection. Firstly, the magnetic interference of rotor UAV is analyzed and the mathematical model is established for software compensation. Next, aeromagnetic magnetometer based on Overhauser sensor is developed. Finally, the least squares is used to estimate the coefficients. The necessity and superiority of allowing for the eddy-current magnetic field is verified by comparing the fitting results. Moreover, the flight test was carried out and the results showed that the improvement ratio was 6.86. The compensation effect of magnetic interference is verified and magnetic anomaly signal is extracted successfully.

关键词： aeromagnetic compensation Overhauser sensor rotor unmanned aerial vehicle

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Parallel Driving in CPSS:A Unified Approach for Transport automation and Vehicle Intelligence

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IEEE/CAA Journal of Automatica Sinica 2017年第4期4卷 577-587页

作者： Fei-Yue Wang Nan-Ning Zheng Dongpu Cao Clara Marina Martinez Li Li Teng Liu IEEE State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences Research Center for Military Computational Experiments and Parallel Systems Technology National University of Defense Technology Institute of Artificial Intelligence and Robotics Xi’an Jiaotong University Advanced Vehicle Engineering Center Cranfield University Department of Automation Tsinghua University State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences Qingdao Huituo Intelligent Machine Company

The emerging development of connected and automated vehicles imposes a significant challenge on current vehicle control and transportation systems. This paper proposes a novel unified approach, Parallel Driving, a cloud-based cyberphysical-social systems(CPSS) framework aiming at synergizing connected automated driving. This study first introduces the CPSS and ACP-based intelligent machine systems. Then the parallel driving is proposed in the cyber-physical-social space,considering interactions among vehicles, human drivers, and information. Within the framework, parallel testing, parallel learning and parallel reinforcement learning are developed and concisely reviewed. Development on intelligent horizon(iHorizon)and its applications are also presented towards parallel *** proposed parallel driving offers an ample solution for achieving a smooth, safe and efficient cooperation among connected automated vehicles with different levels of automation in future road transportation systems.

关键词： ACP theory connected automated driving cyber-physical-social systems(CPSS) iHorizon parallel driving parallel horizon parallel learning parallel reinforcement learning parallel testing

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Coke quality prediction based on Gaussian model feature extraction and xgboost feature selection algorithm 5

Coke quality prediction based on Gaussian model feature extr...

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5th International Workshop on advanced Computational Intelligence and intelligent Informatics, IWACIII 2017

作者： Li, Zezhong Cao, Weihua Chen, Luefeng Wu, Min School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China

This paper focuses on extracting effective vitrinite reflectance features, and selecting the most important features to predict coke quality. Feature extraction method based on Gaussian model is proposed, which can extract vitrinite reflectance features, the vitrinite reflectance features and traditional features are fused together to excavate the relationship between coal and coke quality. Then Xgboost is used as a new feature selection method to measure features importance and remove the redundant features. Finally, high correlation features are selected as input variables to predict coke quality, which can enhance prediction performance and stability. Experimental results show that the proposal outperforms prediction model based on traditional indicators.

关键词： Feature Selection

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New constructing method of Lyapunov-Krasovskii functionals for stability of time-varying delay systems 43

New constructing method of Lyapunov-Krasovskii functionals f...

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43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017

作者： Zhenman, Gao Yong, He Min, Wu School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China

ISBN: (纸本)9781538611272

This paper investigates the stability of linear systems with a time-varying delay. We propose a new approach to construct Lyapunuv-Krasovskii functional (LKF). Compared with other traditional approach, the proposed one can provide a higher time-delay upper bound and lower computation complexity. Six stability criteria by linear matrix inequalities (LMIs) are established by proposed two novel LKFs in this paper. Based on one numerical example, the advantages of the proposed approach are illustrated. © 2017 IEEE.

关键词： Stability criteria

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