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Tension Soft Sensor of Continuous Annealing Lines Using Cascade Frequency Domain Observer with Combined PCA and Neural Networks Error Compensation

Tension Soft Sensor of Continuous Annealing Lines Using Casc...

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2010 49th IEEE Conference on Decision and control

作者： Qiang Liu Tianyou Chai Hong Wang S. Joe Qin Key Laboratory of Integrated Automation of Process Industry (Northeastern University) Ministry of Education and Research Center of Automation Northeastern University Shenyang China Control Systems Centre the University of Manchester Manchester M60 1QD the United Kingdom Mork Family Department of Chemical Engineering and Materials Science the Ming Hsieh Department of Electrical Engineering University of Southern California Los Angeles CA 90089-1211 USA

ISBN: (纸本)9781424477456

In continuous annealing processes, strip tension is an important factor which indicates whether the annealing line works steadily. The strip tension detection in the continuous annealing process, therefore, is essential for the reliable and stable operation of the units, and will help to improve the quality of strip products. However, in real annealing processes, only a limited number of strip tensions can be measured. Since installing tension sensors everywhere will be unrealistic and expensive, in this paper a cascade reduced-order observer method with principal component analysis (PCA) and neural networks (NN) compensation is proposed to estimate the unknown tensions between each two neighboring rolls so as to monitor the tension profile for the whole line. When the main observer model is established, the influences of strip inertia and roll eccentricity on tensions are taken into account for better estimation. Moreover, when the error compensation is designed, PCA scores are used as the inputs to the NN. The application results show the effectiveness of the proposed method, with the estimated tensions used for the analysis of the strip-breaks fault.

关键词： Error compensation Continuous annealing annealing tension strip tension stability operations Neural network cascades

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Assessment of a Plantibody HB-01 Purification Strategy at Different Scales

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CHROMATOGRAPHIA 2009年第11-12期70卷 1673-1678页

作者： Padilla, Sigifredo Valdes, Rodolfo Gomez, Leonardo Geada, Deborah Ferro, Williams Mendoza, Otto Garcia, Cristina Mila, Lorely Pasin, Leonardo Issac, Yordan Gavilan, David Gonzalez, Tatiana Sosa, Raudel Leyva, Alberto Sanchez, Julio LaO, Mailin Calvo, Yodelis Sanchez, Rafael Fernandez, Eutimio Brito, Jose Monoclonal Antibody Department Center for Genetic Engineering and Biotechnology Ave 31 be/158 and 190 Havana 10600 Cuba Quality Assurance Direction Center for Genetic Engineering and Biotechnology Ave 31 be/158 and 190 Havana 10600 Cuba Process Control Department Center for Genetic Engineering and Biotechnology Ave 31 be/158 and 190 Havana 10600 Cuba Quality Control Direction Center for Genetic Engineering and Biotechnology Ave 31 be/158 and 190 Havana 10600 Cuba Regulatory Affair Direction Center for Genetic Engineering and Biotechnology Ave 31 be/158 and 190 Havana 10600 Cuba Production Direction Center for Genetic Engineering and Biotechnology Ave 31 be/158 and 190 Havana 10600 Cuba Tobacco Research Institute Tumbadero Road km 8&#189 . San Antonio de los Ba&#241 os Havana 3500 Cuba Center for Engineering and Chemical Researches F Street # 115 be/Ave 5th and Calzada Havana 10600 Cuba

Transgenic plant investigations focus on fine-regulation of the recombinant protein expression and purification strategies. In this article, preliminary experiments were done at analytical-scale to decide the best plantibody HB-01 purification strategy. Once it was assumed, the purification efficiency was assessed at different scales (10-600 kg of biomass). The plantibody purity measured by SDS-PAGE and LC-GF was over 90%, yielding 9.9 +/- A 6.2-18.6 +/- A 0.9 mg plantibody kg(-1) of biomass and 39.9 +/- A 7.9-48.7 +/- A 2.1% of recovery. Significant differences were not observed among these parameters at these scales. Plant DNA contents were < 3.3 ng mg(-1) of plantibody, which is considered very low for the plantibody HB-01 application in the hepatitis B vaccine production.

关键词： Expanded bed adsorption chromatography Plantibody purification Transgenic plant

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A Study of a Gun-Turret Assembly in an Armored Tank using Model Predictive control

A Study of a Gun-Turret Assembly in an Armored Tank using Mo...

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2009 American control Conference (ACC 2009)

作者： Gautam Kumar Pradeep Y. Tiwari Vincent Marcopoli Mayuresh V. Kothare Chemical Process Modeling and Control Center Department of Chemical Engineering Lehigh University Bethlehem PA 18015 U.S.A. Process Dynamics and Optimization group Bayer Technology Services Americas 8500 W Bay Rd Baytown TX 77523 U.S.A. General Dynamics Land Systems Sterling Hts. MI 48310 U.S.A.

ISBN: (纸本)9781424445233

Operation of the gun/turret system in a military tank is limited by several constraints some of which are posed by obstacles existing on the vehicle's own platform. These mechanical constraints acting as hard constraints can cause serious damage to the whole assembly if violated. A control strategy developed for such a system must avoid possible collision of the gun/turret system with these obstacles. We propose to use a MPC based control strategy, due to its inherent ability to handle constraints, for the deck clearance problem and evaluate its performance under operating conditions for a linear model of the tank. Matlab~R based MPCtoolbox is used to set up the MPC calculations for the gun/turret system. Simulations are performed to investigate and compare the performance of the controller under various deck constraint limits. It is shown that MPC is effective in addressing both the stabilization and deck clearance objectives.

关键词： Maximum Allowable Concentration control strategy Tanks belted distributed model predictive control nonlinear model predictive control Constraint Model predictive control Predictive control linear models Addressing assemblies Operating conditions vehicle controllers

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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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The Broad Institute-Six Years Later

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CHEMISTRY & BIOLOGY 2010年第4期17卷 311-312页

作者： McCarthy, Alice Main Text “In June 2003 the scientific and medical communities at MIT Harvard University and its affiliated hospitals and the Whitehead Institute banded together as collaborating partners to form the Eli and Edythe L. Broad Institute based in Cambridge MA. The Broad Institute established with initial funding from a $100 million philanthropic donation from the Los Angeles-based Broad family was primarily viewed as a marriage between the Whitehead Institute's Center for Genome Research (WICGR) and the Harvard Institute of Chemistry and Cell Biology (ICCB). Eli Broad founder and chairman of AIG SunAmerica Inc. explained “the purpose of the Broad Institute is to create a new type of research institute to build on the accomplishments of the human genome project and to move to clinical applications to both prevent and cure diseases.” Every Thursday morning we meet with perhaps 20 faculty members and 100 other researchers to discuss what we're all doing and should be doing next. -David Altschuler This paragraph was written five years ago when the Broad Institute was in its very earliest days as a life science research community (McCarthy 2005). Since that time “the Broad” as it's known has kept true to Eli Broad's vision having attracted a talented group of researchers faculty trainees and professional staff. This 1600 person research community known internally as “Broadies” includes faculty staff and students from throughout the MIT and Harvard biomedical research communities and beyond with collaborations spanning over a hundred private and public institutions in more than 40 countries worldwide. “What is special about the Broad is that we have people from Harvard MIT and the Harvard hospitals come together and work on problems of shared interest that could not be solved in their own individuals labs” explains David Altshuler M.D. Ph.D. Deputy Director and one of the Broad's six core faculty members. “These problems require expertise beyond any one principal investigator and in

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Repetitive Model Predictive control using Linear Matrix Inequalities

Repetitive Model Predictive Control using Linear Matrix Ineq...

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2008 American control Conference (ACC), vol.4

作者： Pradeep Y. Tiwari Mayuresh V. Kothare Chemical Process Modeling and Control Center Department of Chemical Engineering Lehigh University Bethlehem PA USA

Repetitive systems can be characterized by two time variables, namely, the finite time within each repeating cycle and the cycle index, each embodying a distinct connotation of time. Conventional optimal control theory does not explicitly account for this two dimensional (2D) description of repetitive systems. We propose a new formulation for control of repetitive systems using Model Predictive control (MPC) that explicitly incorporates a 2D representation of the system. The proposed formulation uses a 2D Lyapunov function and the stability requirements are established along each time dimension of the system. The resulting controller synthesis problem is expressed in convex form using Linear Matrix Inequalities (LMIs). The approach allows explicit incorporation of input/output constraints in the controller design. Two examples illustrate the applicability of the proposed approach.

关键词： Predictive models Predictive control Linear matrix inequalities Radio control control systems control system synthesis Stability Economic forecasting chemical processes chemical industry

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Optimal scheduling with energy constraints

Optimal scheduling with energy constraints

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2008 AIChE Annual Meeting, AIChE 100

作者： Castro, Pedro Harjunkoski, Iiro Grossmann, Ignacio E. Department of Process Modeling and Simulation INETI Lisbon Portugal Corporate Research ABB Ladenburg Germany Dept. of Chemical Engineering Center for Advanced Process Decision-making Carnegie Mellon University 5000 Forbes Avenue Pittsburgh PA 15213 United States

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Model predictive control of cyclic systems using linear matrix inequalities

Model predictive control of cyclic systems using linear matr...

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2007 AIChE Annual Meeting

作者： Tiwari, Pradeep Y. Kothare, Mayuresh V. Chemical Process Modeling and Control Center Department of Chemical Engineering Lehigh University Bethlehem PA 18015 United States

ISBN: (纸本)9780816910229

Cyclic processes can be characterized by two time variables, viz, the time within a cycle and the cycle index, each carrying a distinct connotation of time. Conventional optimal control theory does not explicitly account for these two dimensions (2D) of time that characterize cyclic systems. In this paper, we study the control of cyclic process using Model Predictive control (MPC). The proposed approach uses a 2D Lyapunov function and the stability requirements are established along each time dimension of the system. The resulting controller synthesis problem is expressed in convex form using Linear Matrix Inequalities (LMIs). The approach allows incorporation of input/output constraints in the proposed 2D MPC framework. An example of a cyclic process is presented to establish the applicability of the proposed approach.

关键词： Model predictive control

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Multivariable Anti-Windup controller Synthesis incorporating Multiple Convex Constraints

Multivariable Anti-Windup Controller Synthesis incorporating...

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American control Conference (ACC)

作者： Pradeep Y. Tiwari Eric F. Mulder Mayuresh V. Kothare Chemical Process Modeling and Control Center Department of Chemical Engineering Lehigh University Bethlehem PA USA Exxon-Mobil Chemical Baytown TX USA

We study the problem of multivariable anti-windup controller synthesis that incorporates trade-offs between unconstrained linear performance and constrained anti- windup performance. In our previous work [13], we presented a framework for simultaneous design of a linear output feedback controller and a static anti-windup compensator using Linear Matrix Inequalities (LMIs). This framework deviated from the conventional two step paradigm of anti-windup by proposing a one-step synthesis while still maintaining the anti-windup structure. However, the work in [13] did not provide conclusive demonstration of the efficacy of this formulation through realistic practical examples. In this paper, we further study the framework in [13] and explicitly demonstrate its capability in providing effective constrained anti-windup controller performance for two benchmark problems, viz. a vibration isolation table and a multivariable model for the longitudinal dynamics of an F8 aircraft.

关键词： chemical processes chemical engineering Aircraft Design methodology process control Cities and towns Output feedback Linear feedback control systems Linear matrix inequalities Vibration control

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Robust synthesis of constrained linear state feedback using LMIs and polyhedral invariant sets

Robust synthesis of constrained linear state feedback using ...

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American control Conference (ACC)

作者： B. Pluymers M.V. Kothare J.A.K. Suykens B. De Moor Department of Electrical Engineering ESAT-SCD-SISTA Katholieke Universiteit Leuven Belgium Chemical Process Modeling and Control Research Center Lehigh University Bethlehem PA USA

This paper deals with the synthesis of linear feedback controllers for constrained discrete-time linear systems with polytopic uncertainty description. This problem was initially tackled using ellipsoidal robust invariant sets in the paper by Kothare (Kothare et al., Automatica, 1996) leading to an LMI-based optimization problem. The contribution of this paper is twofold. First the aforementioned method is extended to also take into account mixed state/input constraints and cross-terms between states and inputs in the objective function. Secondly, polyhedral invariant sets (Pluymers et al., ACC, 2005) are introduced in the synthesis algorithm in order to eliminate conservative constraint handling. This results in a provably more optimal feedback controller. The resulting method can either be used on-line in a receding horizon fashion to obtain a robust constrained controller or off-line in order to obtain a feedback controller with a guaranteed feasible region for use in dual-mode or other robust model-based predictive control algorithms. A numerical example is given to illustrate the new algorithm

关键词： Robustness State feedback Adaptive control control system synthesis Robust control Linear systems Uncertainty Predictive models Predictive control Prediction algorithms

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