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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Yuedou Pan Tao Chen School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) Beijing China

ISBN: (纸本)9781467376839

This paper proposes a high-order sliding mode stator flux estimation method for asynchronous motor based on feedback linearization. Selecting the rotor flux as the system's output, the coordinate change matrix and the nonlinear state feedback are derived based on the affine nonlinear model of asynchronous motors by using the nonlinear system's differential geometry theory. Then the asynchronous motor system is input-output linearized and the feedback linearization model of asynchronous motors is obtained. On this basis, a high-order sliding mode rotor flux observer for asynchronous motor is designed to estimate rotor flux, and this paper analysis the stability of the designed observer, then we can calculate stator flux by using the rotor flux. The designed observer is applied to Direct Torque control (DTC) of the asynchronous motor and achieves a good control performance. Simulation results verify the effectiveness and feasibility of the proposed method.

关键词： Stators Observers Rotors DC motors Nonlinear systems State feedback

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Multi-pipeline System Scheduling under Demand Uncertainty

Multi-pipeline System Scheduling under Demand Uncertainty

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第26届中国过程控制会议（CPCC2015）

作者： Wang Jishuai Gu De Suzhou Institute of Biomedical Engineering and Technology Chinese Academy of Sciences State Key Lab.of Industrial Control Technology Institute of Cyber-systems and Control Zhejiang University Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of Automation Jiangnan University

In this paper, a discrete mathematical approach to solve scheduling of multi-pipeline systems for petroleum products under demand uncertainty is presented. To deal with the uncertainty, the conditional value-at-risk(CVAR) analysis is adopted as a risk measure. Firstly an improved scheduling approach is proposed to model the multi-pipeline system with the consideration of different pipeline segment sizes. The improved formulation is computationally intractable when pipeline segments have distinct capacities. Then the model takes a scenario-based approach to cope with uncertainty in a CVAR framework. Computational results are presented to demonstrate the effectiveness of the proposed approach. All the instances are implemented using CPLEX.

关键词： Multiproduct pipeline Scheduling MILP formulation Pump

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Active Disturbance Rejection control for Nonlinear Two-tank Liquid Level Cascade Systems with Model Uncertainties

Active Disturbance Rejection Control for Nonlinear Two-tank ...

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The Society of Instrument and control Engineers Annual Conference 2015

作者： Lijun Wang Fen Zhang Qing Li Yixin Yin Qing Zheng Yumeng Zhang School of Automation & Electrical Engineering University of Science and Technology Beijing Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) University of Science and Technology Beijing Department of Electrical and Computer Engineering Gannon University

Due to the nonlinearities, model uncertainties and disturbances of the two-tank liquid level cascade system,active disturbance rejection controller(ADRC) solution was developed. First, a nonlinear mechanism model and its linearized model were built based on the theories of fluid dynamics for the system. Second, first-order linear ADRCs for the outer loop of the two cascade systems with an unknown order were designed, respectively. With a simple integrator as the normalized type of the feedback system, other parts of dynamic system which are different from the normalized type are treated as the total disturbances. The disturbances were estimated by the second-order linear extended state observer and compensated in the control law. Then the system, with nonlinearities, uncertainties and disturbances, is reduced to only a linear integrator. In comparison with the traditional PI controller, simulation results show that both the proposed ADRCs have better robustness and adaptability against model uncertainties.

关键词： Two-tank systems,nonlinear systems,uncertain systems,cascade systems,active disturbance rejection control

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On control design and tuning for first order plus time delay plants with significant uncertainties

On control design and tuning for first order plus time delay...

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American control Conference

作者： Lijun Wang Qing Li Chaonan Tong Yixin Yin Zhiqiang Gao Qinling Zheng Weicun Zhang School of Automation & Electrical Engineering University of Science and Technology Beijing Beijing 100083 China Key Laboratory of Advanced Control of Iron and Steel Process Ministry of Education Beijing 100083 China Center for Advanced Control Technologies Cleveland State University Cleveland OH 44115 USA

ISBN: (纸本)9781479917730

A novel active disturbance rejection control (ADRC) solution and a particular tuning method are presented for a class of time delay system (TDS) with uncertainty. First, the complicated process dynamics is modeled as a simple first order plus large time delay (FOPTD) plant, with the difference between the actual dynamics and its model treated as disturbances to be rejected. Then the reduced order linear extended state observer (RLESO) with input delay is proposed to estimate the time delay state and disturbance. It is shown how the time delay could be eliminated from the characteristic equation of the closed-loop system by manipulations of controller parameters. Secondly, the one parameter tuning (OPT) technique is developed where all controller parameters are made function of a single coefficient. In comparison with optimal proportional-integral-derivative (PID) controller and twice optimum controller (TOC), the simulation results show that the proposed method not only has better accuracy and faster response, but also ensures better robustness and adaptability against uncertain model parameters and external disturbances, especially for the plant with very large time delays.

关键词： tuning design control model parameters process dynamics Characteristic equation one-parameter external disturbance FIRST ORDER controllers Closed loop systems

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A novel model and behavior analysis for a swarm of multi-agent systems with finite velocity

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Chinese Physics B 2014年第9期23卷 590-593页

作者：王良顺吴治海 Key Laboratory of Image Processing and Intelligent Control of the Ministry of Education School of AutomationHuazhong University of Science and Technology Key Laboratory for Advanced Process Control of Light Industry of the Ministry of Education School of Internet of Things EngineeringJiangnan University

Inspired by the fact that in most existing swarm models of multi-agent systems the velocity of an agent can be infinite, which is not in accordance with the real applications, we propose a novel swarm model of multi-agent systems where the velocity of an agent is finite. The Lyapunov function method and LaSalle＇s invariance principle are employed to show that by using the proposed model all of the agents eventually enter into a bounded region around the swarm center and finally tend to a stationary state. Numerical simulations are provided to demonstrate the effectiveness of the theoretical results.

关键词： multi-agent systems swarm finite velocity attraction and repulsion

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Intelligent imaging algorithm of blast furnace radar array based on threshold synergism and data interaction

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Gongcheng Kexue Xuebao/Chinese Journal of Engineering 2015年 37卷 66-72页

作者： He, Shu-Rui Chen, Xian-Zhong Hou, Qing-Wen School of Automation University of Science and Technology Beijing Beijing100083 China Key Laboratory of the Ministry of Education of China for Advanced Control of Iron and Steel Process Beijing100083 China

A series of optimized signal processing algorithm was proposed for the radar system based on two-dimensional imaging of the burden surface. Firstly, a self-correlation algorithm was proposed to restrain background noises based on signal superposition. Secondly, the intelligent synergism adopting time-varying threshold on the basis of the prior knowledge of metallurgy and statistical characteristics of echo for multi-radar was accomplished. Finally, the interaction and synergism of data combined the parameters of industrial field with principal component analysis were proposed, as well as "outlier-removed α-β filter", and a suitable model of burden surface with outliers α-β filter algorithm was optimized. After practical verification, those improved signal processing methods were proved to enhance the stability of imaging and decrease the values of image fluctuation and abnormal proportion. The detecting probability and accuracy for the burden surface of the blast furnace radar were increased by 21.57% and 10.42%, respectively, which meet the requirements of real-time detection for the burden surface better. © All right reserved.

关键词： Blast furnaces

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Visualization of layer distribution of furnace burden based on array radar of blast furnace

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Gongcheng Kexue Xuebao/Chinese Journal of Engineering 2015年 37卷 173-178页

作者： Hou, Qing-Wen Li, Xu Chen, Xian-Zhong Lu, Yi-Fang School of Automation & Electrical Engineering University of Science and Technology Beijing Beijing100083 China Key Laboratory of Advanced Control of Iron and Steel Process Ministry of Education Beijing100083 China

The visualization of layer distribution of furnace burden in the time-radial-height dimension was presented based on array radar measured data. Abnormal data mining and data sampling method were adopted to obtain valid data. According to the burden falling model, the layer distribution of furnace burden was calculated. The cubic spline interpolation algorithm was used in the radial dimension and the improved least square method was proposed in the time dimension, which were used for conducting piecewise fitting of burden surface. The visualization system achieves multi-view visualization of burden surface and burden layer in the time-radial-height dimensions, which shows the change course of burden surface and provides an intuitive way to the blast furnace operation and control. © All right reserved.

关键词： Visualization

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Research on stator flux and rotor speed estimation for induction motor based on extended complex Kalman filter

Research on stator flux and rotor speed estimation for induc...

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International Conference on Machine Tool technology and Mechatronics Engineering, ICMTTME 2014

作者： Pan, Yue Dou Guo, Ying Wei Li, Hua De School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China Key Laboratory of Advanced Control of Iron and Steel Process Ministry of Education Beijing China

ISBN: (纸本)9783038352464

This paper proposes a stator flux and rotor speed estimation method for induction motor (IM) based on extended complex Kalman filter (ECKF). A complex-valued model is adopted that allows a simpler and more effective state estimation of IM. And a third order ECKF has been designed for IM model by neglecting the mechanical equation, which is a valid hypothesis when the motor is operated at a constant rotor speed. The stator flux and rotor speed estimation obtained from ECKF are applied for direct torque control (DTC) of induction motor. This method for state estimation is more effective and easier than the one performed on the corresponding real-valued model, as it obtains observability conditions directly in terms of stator current and flux complex-valued vectors. The proposed ECKF achieves a good performance in DTC of IM. Simulation experiment results in Matlab/Simulink environment validate the proposed method. © (2014) Trans Tech Publications, Switzerland.

关键词： Induction motors

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Temperature modeling of PEM Fuel cell based on fuzzy strategy

Temperature modeling of PEM Fuel cell based on fuzzy strateg...

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26th Chinese control and Decision Conference, CCDC 2014

作者： Qun, Yan Qing, Li Zhang, Peichang Yu, Datai School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing 100083 China Key Laboratory of Advanced Control of Iron and Steel Process Ministry of Education Beijing 100083 China

ISBN: (纸本)9781479937066

Proton Exchange Membrane Fuel cell has many perfect characters and becomes one of the most important research subjects among domestic and international fuel cell fields. Heat transfer management is one of the key technologies for PEM fuel cell. This paper built a temperature model of PEM fuel cell based on fuzzy technology, which divided the fuzzy space evenly by established rules, got the number of fuzzy rules and rules application degree, identified the consequent parameters by least square method. This model is fit for multi-variables and has simple construction and high accuracy. Finally, simulation examples show the effectiveness of the modeling. © 2014 IEEE.

关键词： Heat transfer

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Online Contribution Rate Based Fault Diagnosis for Nonlinear Industrial Pro cesses

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自动化学报 2014年第3期40卷 423-430页

作者： PENG Kai-Xiang ZHANG Kai LI Gang Key Laboratory for Advanced Control of Iron and Steel Process School of Automation and Electrical Engineering University of Sci-ence and Technology Beijing Beijing 100083 China Depart-ment of Automation Tsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing 100084 China

在过去的十年，核主管部件分析(KPCA ) 在监视区域的数据驱动的过程相当流行地出现了。庞大的工作被做了显示出它的简洁，可行性，和有效性。然而，核诡计的介绍使直接为差错诊断采用传统的贡献阴谋不可能。在这份报纸，根据重游并且分... 详细信息

在过去的十年，核主管部件分析(KPCA ) 在监视区域的数据驱动的过程相当流行地出现了。庞大的工作被做了显示出它的简洁，可行性，和有效性。然而，核诡计的介绍使直接为差错诊断采用传统的贡献阴谋不可能。在这份报纸，根据重游并且分析存在， KPCA 相关的诊断来临，新贡献率基于方法被建议它能清楚地解释有缺点的变量。而且，为联机非线性的诊断的一个计划被建立。最后，连续搅动的坦克反应堆(CSTR ) 上的案例研究基准被使用存取新方法论的有效性，在有传统的线性方法的比较也被包含的地方。

关键词：故障诊断非线性搅拌釜式反应器工业费率核主成分分析 KPCA 数据驱动

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