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American control Conference

作者： Yao Zhang Bin Xian Bo Zhao Xiang Liu Institute of Robotics and Autonomous System the Tianjin Key Laboratory of Process Measurement and Control Schoool of Electrical Engineering and Automation Tianjin University Tianjin 300072 China

ISBN: (纸本)9781479932757

In this paper, the problem for the control of a class of single-input-single-output (SISO) non-affine nonlinear system with non-varnishing disturbance is investigated. A continuous nonlinear feedback structure is utilized to tackle with the uncertain dynamics in the system. By taking the time derivative of the origin system, a transformed affine-like form is derived. The first order derivative of control input appears linearly in the augmented dynamics with unknown control direction. Nussbaum-type function is incorporated to estimate the unknown control direction. A revised Lyapunov based analysis is carried out to prove that under some moderate assumptions, the Semi-global Uniformly Ultimately Bounded (SGUUB) tracking result is achieved and all the closed loop signals are bounded. Numerical simulation results are presented to illustrate the performance of the proposed control law.

关键词： Radio frequency Nonlinear dynamical systems Stability analysis Trajectory Tracking loops control design Equations

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Separable Model Predictive control via Alternating Direction Method of Multipliers for Large-scale Systems

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IFAC Proceedings Volumes 2014年第3期47卷 10499-10504页

作者： Liang Lu Division of Automatic Control Department of Electrical Engineering Linköping University SE-581 83 Linköping Sweden State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China

In this paper, an alternating direction method of multipliers (ADMM) based real-time model predictive control (MPC) algorithm is presented. With the use of indicator function and by introducing extra consensus constraints, the constrained MPC problem can be formulated as a separable MPC problem, which can be computed very efficiently by projected gradient descent ADMM update steps and Riccati recursions. The sequence of the objective value of this constrained real-time ADMM-type MPC algorithm satisfies a linear convergence rate. The procedure is also extended to distributed systems with constraints, in which the variables of each subsystems communicate with their neighbors and update in the Gauss-Seidel way. An illustrative example shows the effectiveness of this approach.

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Implementation of PFC (Predictive Functional control) in a petrochemical plant

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IFAC Proceedings Volumes 2014年第3期47卷 5333-5338页

作者： R. Haber U. Schmitz K. Zabet Institute of Process Engineering and Plant Design Laboratory of Process Automation Cologne University of Applied Science D-50679 Köln Betzdorfer Str. 2 Germany fax: +49-221-8275-2836 and Department for APC and process control technology Rheinland Refinery Shell Deutschland Oil GmbH Ludwigshafener Strasse 1 D-50389 Wesseling

PFC (Predictive Functional control) is a simple but very effective SISO (Single-Input Single- Output) predictive controller which does not require any matrix inversion or numerical minimization of a cost function, therefore it is easy to realize in a PLCs (Programmable Logical controllers) or a DCS (Decentralized control Systems). The manipulated variable and/or its increment, as well other variables can be constrained easier than when using PI(D) (Proportional, Integrating, and Derivating) controller. Furthermore PFC handles the dead time process better than with PI(D) controller. Three industrial applications of PFC for two distillation columns and a reactor in a petro-chemical plant were implemented and the experiences are presented here.

关键词： predictive functional control distillation column programmable logical controller

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3D reconstruction of single rising bubble in water using digital image processing and characteristic matrix

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Particuology 2013年第2期11卷 170-183页

作者： Yuchen Bian Feng Dong Weida Zhang Hongyi Wang Chao Tan Zhiqiang Zhang Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and AutomationTianjin University School of Electrical Engineering and Automation Tianjin Polytechnic University

Reconstructing the shape of a bubble will lay a firm foundation for further description of the dynamic characteristics of bubbly flow, especially for a single rising bubble or separate bubbles whose interaction could be neglected. In this case, the rising bubble is usually simulated as an ellipsoid consisting of two semi-eUipsoids up and down. Thus the projected image of a bubble consists of two semi-ellipses. In this paper, a method for reconstructing the ellipsoid bubble model is described following digital image processing, using the Hough transform in 2D ellipse parameter extraction which could cover most of the bubble edge points in the image. Then a method based on characteristic symmetric matrix is described to detect 3D bubble ellipsoid model parameters from 2D ellipse parameters of projection planes. This method can be applied to bubbles rising with low-velocity in static flow field much in conformity with the projection theory and the shape variation of the rising bubble. This method does not need to solve nonlinear equation sets and provides an easy way to calculate the characteristic matrix of a space ellipsoid model for deformed bubble. For bubble application, two assumed conditions and a calibration factor are proposed to simplify calculation and detection. Errors of ellipsoid center and three axes are minor. Errors of the three rotation angles have no negative effect on further study on bubbly flow.

关键词： Bubble Digital image processing Parameter extraction Ellipsoid model Reconstruction Characteristic matrix

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Quadratic Radical Function Better Than Fisher z Transformation

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Transactions of Tianjin University 2013年第5期19卷 381-384页

作者：杨正瓴段志峰王晶晶王腾宋延文张军 School of Electrical Engineering and Automation Tianjin University Tianjin Key Laboratory of Process Measurement and Control

A new explicit quadratic radical function is found by numerical experiments,which is simpler and has only 70.778%of the maximal distance error compared with the Fisher z ***,a piecewise function is constructed for the standard normal distribution:if the independent variable falls in the interval(-1.519,1.519),the proposed function is employed;otherwise,the Fisher z transformation is *** with the Fisher z transformation,this piecewise function has only 38.206%of the total *** new function is more exact to estimate the confidence intervals of Pearson product moment correlation coefficient and Dickinson best weights for the linear combination of forecasts.

关键词： normal distribution cumulative distribution function error function confidence interval correlation coefficient combination of forecasts

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Burden Distribution control Based on Adaptive Genetic Algorithm in Bell-less Blast Furnace

Burden Distribution Control Based on Adaptive Genetic Algori...

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第三十三届中国控制会议

作者： Qiao Zhu Yi-Xin Yin Han-Qing Cheng Xian-Zhong Chen 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

ISBN: (纸本)9781479947249

The proper control of the ratio of ore to coke distribution(ROCD) can achieve energy saving of the blast furnace(BF).In order to achieve the desired ROCD,it is meaningful to search best charging system(especially the burden matrix).This paper deals with the problem of burden distribution control based on the adaptive genetic algorithm and multi-radar ***,the definition of the ratio of ore to coke(ROC) and the desired ROCD are ***,according to the desired ROCD,the concrete steps of searching the best burden matrices are presented based on the adaptive genetic ***,the operators of the adaptive genetic algorithm(especially the mutation operator) are properly adjusted,according to the actual production process of the bell-less ***,three computational experiments demonstrate the effectiveness of the method.

关键词： Bell-less blast furnace Adaptive genetic algorithm Ratio of ore to coke distribution Multi-loop burden matrices.

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Burden Distribution Calculation of Bell-Less Top of Blast Furnace Based on Multi-Radar Data

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Journal of Iron and Steel Research International 2013年第6期20卷 33-37页

作者： ZHU Qiao L Cheng-long YIN Yi-xin CHEN Xian-zhong School of Automation and Electrical Engineering University of Science and Technology Beijing Key Laboratory of Advanced Control of Iron and Steel Process

The burden distribution real-time estimation problem of multi-loop charging based on the real multi-radar data is *** , an iterative algorithm is introduced to calculate the radial coordinate of the *** , based on the multi-radar data , the burden profile is estimated by a cubic-curve equation at the end of the multi-loop *** , the burden profile before the next multi-loop charging is calculated based on multi-radar data by considering the impact of burden *** the basis of these burden profiles , a more accurate thickness ratio of ore to coke （ RO/C ） at the radial direction of blast furnace can be *** , an example is given to calculate the burden profiles and RO/C by using the real multi-radar data sampled from Baosteel , which shows the effectiveness of the method introduced.

关键词： blast furnace multi-radar data burden distribution multi-loop charging RO/C

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Optimal Tracking control for a Class of Continuous Time Complex-valued Systems Based on Adaptive Dynamic Programming Algorithm

Optimal Tracking Control for a Class of Continuous Time Comp...

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第三十三届中国控制会议

作者： Ruizhuo Song Frank L.Lewis Qinglai Wei Wendong Xiao School of Automation and Electrical Engineering University of Science and Technology Beijing University of Texas at Arlington Research Institute University of Texas at Arlington State Key Laboratory of Synthetical Process Automation Northeastern University The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences

ISBN: (纸本)9781479947249

Based on the adaptive dynamic programming(ADP) algorithm,a new optimal tracking control method is proposed for a class of complex-valued nonlinear systems in this *** tracking error is rst de ned,and then the performance index function which is about the tracking error is *** transformation,the complex-valued tracking error system is mapped into *** optimal control method for the tracking error system is *** two neural networks are used to be as the critic network and action network,*** is proven that the closed-loop system is uniformly ultimately bounded based on Lyapunov ***,the simulation study is given to show the effectiveness of the proposed optimal tracking control method for complex-valued nonlinear system.

关键词： Adaptive dynamic programming,optimal control,neural network,complex-valued

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Stability Analysis of Nonlinear Self-excited Vibration in Cold Rolling Main Drive System

Stability Analysis of Nonlinear Self-excited Vibration in Co...

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第26届中国控制与决策会议

作者： Yang Xu Li Qing Peng Kaixiang Tong Chaonan Ding Dawei Key Laboratory of Advanced Control of Iron and Steel Process School of Automation and Electrical EngineeringUniversity of Science and Technology Beijing State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University

A nonlinear self-excited vibration model of main drive system in cold rolling is established. The mechanism of torsional vibration in main drive system stability is discussed within multiple scale method as well as Hopf bifurcation theorem. Then, the periodic solutions and condition of Hopf bifurcation are derived and the influence by subcritical/supercritical bifurcation is analyzed. Based on the simulation experiments with actual industrial data, the previous theoretical analysis and nonlinear model have been testified.

关键词： Nonlinear Modeling,Self-excited Vibration,Stability Analysis,Main Drive System,Cold Rolling process

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Comparing Reconstruction Algorithms for Different Size of Object in Electrical Tomography

Comparing Reconstruction Algorithms for Different Size of Ob...

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2013 IEEE 11th International Conference on Electronic Measurement & Instruments

作者： Wang Chao He Xiaorong Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University

ISBN: (纸本)9781479907571

Electrical tomography is widely used in industrial process and clinical science because of its characteristics of fast response and continuous monitoring. Image reconstruction algorithms are proposed and developed to improve the quality of reconstructed image. In the continuous monitoring, the size of object is always changing, so it is important to compare imaging ability of different algorithms for different size of object. In this paper, circle models and square models of different size object are established. Through the analysis of image error and correlation coefficient, ten image reconstruction algorithms are evaluated detailed.

关键词： electrical tomography, evaluation parameter, evaluation of image reconstruction algorithm

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