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6th IFAC Symposium on Robust control Design, ROCOND'09

作者： Matušů, Radek Vaneková, Katarína Prokop, Roman Bakošová, Monika Department of Automation and Control Engineering Faculty of Applied Informatics Tomas Bata University in Zlín Nad Stráněmi 4511 76005 Zlín Czech Republic Department of Information Engineering and Process Control Faculty of Chemical and Food Technology Slovak University of Technology in Bratislava Radlinského 9 81237 Bratislava Slovakia

ISBN: (纸本)9783902661456

The main aim of the contribution is to present a possible approach to design of simple Proportional-Integral (PI) robust controllers and subsequently to demonstrate their applicability during control of a laboratory model with uncertain parameters through the Programmable Logic controller (PLC) SIMATIC S7-300 by Siemens Company. The proposed and utilized synthesis consists of two steps - the former one is a determination of controller parameters area, which ensures the robustly stable control loop and which is based on the computing/plotting the stability boundary locus while the latter one lies in the final choice of the controller itself relying on algebraic techniques. The basic theoretical parts are followed by laboratory experiments in which the 3rd order nonlinear electronic model has been successfully controlled in various working points. © 2009 IFAC.

关键词： Programmable logic controllers

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Enhancement of Multi-Objective control Performance via Switching

Enhancement of Multi-Objective Control Performance via Switc...

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2009中国控制与决策会议

作者： Laven Soltanian Ali Khaki Sedigh Omid Namaki-Shoushtari Advanced Process Automation & Control(APAC) Research Group K.N.Toosi University of TechnologyTehranIran Control Engineering Department K.N.Toosi University of TechnologyTehranIran

control system design for a complex system encompasses the optimization of different and often conflicting objectives leading to a multiple objective design *** this paper,a switching strategy is proposed to solve the multiple objective controller *** controller is designed based on a set of performance *** realization considerations are used to ensure overall closed loop *** matrix inequalities are employed in the controller design *** objective designs are always prone to over conservatism,which is greatly reduced by the switching *** results are used to show the effectiveness of the design methodology.

关键词： multi-objective control switching stability state space realization linear matrix inequalities(LMI)

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An adaptive weight PSO for rolling schedules multi-objective optimization of tandem cold rolling

An adaptive weight PSO for rolling schedules multi-objective...

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IEEE International Conference on automation and Logistics

作者： Yu Wang Yong Li Jianchang Liu Key Laboratory of Integrated Automation of Process Industry Ministry of Education Northeastern University Shenyang Liaoning China Department of Automatic Control Shenyang Institute of Aeronautical Engineering Shenyang Liaoning China

In this paper, an adaptive weight particle swarm optimization is proposed for multi-objective optimization. And it is applied to rolling schedules multi-objective optimization of tandem cold rolling. According to the demands of actual rolling schedules designing, power distribution, rolling energy consumption and slip rate are selected as objective functions. Then the multi-objective model of rolling schedules is established. The proposed algorithm is applied to rolling schedules optimization of tandem cold rolling. The result shows that the proposed method decreases the values of three objective functions simultaneously compared to actual rolling schedules. Furthermore the proposed algorithm has faster convergence speed than the adaptive weight approach GA.

关键词： Job shop scheduling Particle swarm optimization Optimization methods Power distribution Scheduling algorithm automation Energy consumption Logistics Laboratories Convergence

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A new approach for estimating the domain of attraction for linear systems with time-varying delay and saturating actuators

A new approach for estimating the domain of attraction for l...

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Asian control Conference

作者： Zhiqiang Zuo Daniel W. C. Ho Yijing Wang Cuili Yang Department of Mathematics City University of Hong Kong Hong Kong China Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University TJU Tianjin China

This paper is concerned with the estimation of the domain of attraction for a class of linear continuous-time systems subject to both interval time-varying delay and actuator saturation. A new type of delay-range-dependent condition is firstly proposed using the free-weighting matrix technique to derive a tighter upper bound on the derivative of a Lyapunov-Krasovskii functional. Based on it, a state feedback controller is then designed with the solution of a set of linear matrix inequalities. An optimization problem with LMI constraints is formulated in order to find an initial set as large as possible to obtain a less conservative estimate of the domain of attraction for such systems. An example is carried out to illustrate the theoretical results.

关键词： Delay estimation Linear systems Time varying systems Delay systems Hydraulic actuators Linear matrix inequalities Upper bound State feedback Linear feedback control systems Constraint optimization

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Identification, Prediction and Detection of the process Fault in a Cement Rotary Kiln by Locally Linear Neuro-Fuzzy Technique

Identification, Prediction and Detection of the Process Faul...

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International Conference on Computer and Electrical engineering, ICCEE

作者： Masoud Sadeghian Alireza Fatehi Department of Mechatronics Engineering Sharif University of Technology International Campus Kish Island Iran Advanced Process Automation and Control (APAC) Research group Faculty of Electrical Engineering K.N. Toosi University of Technology Tehran Iran

In this paper, we use nonlinear system identification method to predict and detect process fault of a cement rotary kiln. After selecting proper inputs and output, an input-output model is identified for the plant. To identify the various operation points in the kiln, Locally Linear Neuro-Fuzzy (LLNF) model is used. This model is trained by LOLIMOT algorithm which is an incremental tree-structure algorithm. Then, by using this method, we obtained 3 distinct models for the normal and faulty situations in the kiln. One of the models is for normal condition of the kiln with 15 minutes prediction horizon. The other two models are for the two faulty situations in the kiln with 7 minutes prediction horizon are presented. At the end, we detect these faults in validation data. The data collected from White Saveh Cement Company is used for in this study.

关键词： Fault diagnosis Fault detection Kilns Production facilities Electrical fault detection Fuzzy systems Delay estimation Nonlinear systems Predictive models automation

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Identification of Nonlinear Predictor and Simulator Models of a Cement Rotary Kiln by Locally Linear Neuro-Fuzzy Technique

Identification of Nonlinear Predictor and Simulator Models o...

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International Conference on Computer and Electrical engineering, ICCEE

作者： Masoud Sadeghian Alireza Fatehi Department of Mechatronics Engineering International Campus Sharif University of Technology Kish Island Iran Advanced Process Automation and Control (APAC) Research group Faculty of Electrical Engineering K.N. Toosi University of Technology Tehran Iran

One of the most important parts of a cement factory is the cement rotary kiln which plays a key role in quality and quantity of produced cement. In this part, the physical exertion and bilateral movement of air and materials, together with chemical reactions take place. Thus, this system has immensely complex and nonlinear dynamic equations. These equations have not worked out yet. Only in exceptional case; however, a large number of the involved parameters were crossed out and an approximation model was presented instead. This issue caused many problems for designing a cement rotary kiln controller. In this paper, we presented nonlinear predictor and simulator models for a real cement rotary kiln by using nonlinear identification technique on the Locally Linear Neuro-Fuzzy (LLNF) model. For the first time, a simulator model as well as a predictor one with a precise fifteen minute prediction horizon for a cement rotary kiln is presented. These models are trained by LOLIMOT algorithm which is an incremental tree-structure algorithm. At the end, the characteristics of these models are expressed. Furthermore, we presented the pros and cons of these models. The data collected from White Saveh Cement Company is used for modeling.

关键词： Predictive models Kilns Computational modeling Power system modeling Production facilities Nonlinear control systems Chemical technology Nonlinear equations Automatic control process control

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Comparison of rotary cement kiln identified models

Comparison of rotary cement kiln identified models

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International Conference on control and automation (ICCA)

作者： G. Noshirvani A. Fatehi B. Araabi M. Shirvani M. Azizi ACER Markaz Branch Arak Iran Advanced Process Automation & Control Research group Electrical Engineering Department K.N. Toosi University of Technology Tehran Iran Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran Chemical Engineering Department and member of Cement Research Center University of Science and Technology Tehran Iran Saveh Cement Company Saveh Iran

Rotary cement kiln is the main part of a cement plant that clinker is produced in it. Clinker is the main ingredient of cement. Continual and prolonged operation of rotary cement kiln is vital in cement factories. However, prolonged operation of the kiln is not possible and periodic repairs of the refractory lining would become necessary, due to non-linear phenomena existing in the kiln, such as sudden falls of coatings in the burning zone and probability of damages to the refractory materials during production. This is the basic reason behind the needs for a comprehensive model which is severely necessary for better control of this process. Such a model can be derived based on the mathematic analysis with consultation of expert operator experiences. In this paper both linear and nonlinear model are identified for rotary kiln of Saveh white cement factory. The linear model is introduced using Box-Jenkins structure. The results of the obtained model were satisfactory compared to some other linear models and can be used for designing adaptive or robust controllers. Also, nonlinear system identification via Neural Network technique is performed and its result was compared to linear models.

关键词： Kilns Production facilities Coatings Building materials process control Mathematical model Mathematics Programmable control Adaptive control Robust control

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Robust Proportional-Integral control of a Laboratory Model Using Programmable Logic controller SIMATIC S7-300

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IFAC Proceedings Volumes 2009年第6期42卷 36-41页

作者： Radek MatuŜu Katarína Vaneková Roman Prokop Monika BakoŜová Department of Automation and Control Engineering Faculty of Applied Informatics Tomas Bata University in Zlín Nad Stránemi 4511 76005 Zlín Czech Republic Tel: +420 576 033 015 fax: +420 576 035 279 Department of Information Engineering and Process Control Faculty of Chemical and Food Technology Slovak University of Technology in Bratislava Radlinského 9 81237 Bratislava Slovakia Tel: +421 259 325 364 fax: +421 252 496 469

The main aim of the contribution is to present a possible approach to design of simple Proportional-Integral (PI) robust controllers and subsequently to demonstrate their applicability during control of a laboratory model with uncertain parameters through the Programmable Logic controller (PLC) SIMATIC S7–300 by Siemens Company. The proposed and utilized synthesis consists of two steps – the former one is a determination of controller parameters area, which ensures the robustly stable control loop and which is based on the computing/plotting the stability boundary locus while the latter one lies in the final choice of the controller itself relying on algebraic techniques. The basic theoretical parts are followed by laboratory experiments in which the 3rd order nonlinear electronic model has been successfully controlled in various working points.

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Evolutionary optimization methods for predictive on-off control

Evolutionary optimization methods for predictive on-off cont...

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作者： Schmitz, Ulrich Haber, Robert Bars, Ruth Shell Deutschland Oil Rhineland Refinery Department for Technology and Services Ludwigshafener Strasse l D-50389 Wesseling Germany University of Applied Science Cologne Institute of Process Engineering and Plant Design Betzdorfer Str. 2 D-50679 Cologne Germany Budapest Univ. of Technology and Economics Dept. of Automation and Applied Informatics MTA-BME Control Research Group Goldmann Gy.ter 3 H-1111 Budapest Hungary

ISBN: (纸本)9783902661661

On-off control is still widely used in the industry, especially for discontinuous actuators, e.g. compressors, steam turbines or furnace burners. Exact set-point control is not possible by an on-off controller. Lower and upper limits are defined for the control signal which should not be violated. For this predictive gap control quadratic and horizon dependent cost functions are defined. Traditional numerical optimization fails with longer prediction horizons, but a genetic algorithm can be effectively applied even for long horizons.

关键词： Actuators

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Data Mining Based Feedback Regulation in Operation of Hematite Ore Mineral processing Plant

Data Mining Based Feedback Regulation in Operation of Hemati...

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2009 American control Conference (ACC 2009)

作者： Jinliang Ding Qi Chen Tianyou Chai Hong Wang Chun-Yi Su Key Laboratory of Integrated Automation of Process Industry (Northeastern University) Ministry of Education and Research Center of Automation Northeastern University Shenyang 110004 China Control Systems Centre The University of Manchester Manchester M60 1QD UK Department of Mechanical Engineering Concordia University Montreal Quebec H3G 1M8 Canada

ISBN: (纸本)9781424445233

To deal with the variation of production operation of the mineral processing plant, the data-mining based feedback regulation strategy is proposed to compensate the open loop steady state setting of the production unit at the plant-wide level. Rough set and increment association rule learning are used for the feedback regulation rule extraction from the historical operation data. To realize the feedback compensator two steps are carried out: (1) Determining the variables to be compensated based on rough set, (2) Mining the compensation rules through the increment association rule learning and rough set. The efficiency of the proposed strategy is proven by the experiments.

关键词： Data mining Ores Minerals control systems Production Steady-state Association rules Optimal control Feedback loop State feedback

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