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Adaptive Predictive control using GOBF-ARX Models: An Experimental Case Study

IFAC Proceedings Volumes 2013年第32期46卷 99-104页

作者： Muddu Madakyaru Sachin C Patwardhan Systems and Control Engineering Indian Institute of Technology Bombay Dept. of Chemical Engineering Indian Institute of Technology Bombay Powai Mumbai - 400076 India

Industrial applications of model predictive control rely mostly on linear empirical models obtained by employing time series analysis approaches. These models can quickly become obsolete and require maintenance when the operating conditions become significantly different from the design conditions. The need to generate good predictions in the face of changing operating conditions and / or plant characteristics can be fulfilled through updating the linear model parameters online. This work is aimed at the development of adaptive MPC (AMPC) scheme based on ARX models, which are parameterized using generalized orthonormal basis filters (GOBF). The proposed model structure, in addition to capturing the dynamics with respect to the manipulated inputs, facilitates modeling of stationary as well as non-stationary components of the unmeasured disturbances. The feasibility of using the proposed AMPC scheme is established by conducting experimental studies on a benchmark Heater-Mixer setup.

关键词： Orthonormal Basis Filters ARX Models Model Predictive control Adaptive control

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Study of rheological, viscoelastic and vulcanization behavior of sponge EPDM/NR blended nano- composites

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IOP Conference Series: Materials Science and engineering 2014年第1期60卷

作者： M Arshad Bashir M Shahid Riaz Ahmed A G Yahya School of Chemical & Materials Engineering National University of Sciences and Technology Islamabad Pakistan Institute of Industrial control systems PO Box 1398 Rawalpindi Pakistan

In this research paper the effect of blending ratio of natural rubber (NR) with Ethylene Propylene Diene Monomer (EPDM) were investigated. Different samples of EPDM/NR ratio were prepared to study the variation of NR in EPDM on rheology, curing characteristics, tangent δ, and viscosity variation during vulcanization of sponge nano *** main aim of present research is to develop elastomeric based sponge composites with the blending ratio of base elastomers along with the carbon nano particles for high energy absorbing and damping applications. The curing characteristics, rheology and viscoelastic nature of the composite is remarkably influenced with the progressive blending ratio of the base elastomeric matrix.

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Effect of lead ion concentration on the structural and optical properties of nano-crystalline PbS thin films

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IOP Conference Series: Materials Science and engineering 2014年第1期60卷

作者： S Zaman S K Mehmood M Mansoor M M Asim Institute of Industrial Control Systems P.O Box 1398 Rawalpindi Pakistan School of Chemical & Materials Engineering NUST H-12 Islamabad Pakistan

PbS thin films have received considerable attention because of their potential applications in opto-electronics applications. Spontaneous reaction of lead acetate and thiourea in aqueous hydrazine hydrate has been used for depositing PbS thin films on glass substrates. Structural and optical properties of PbS thin films are greatly influenced by the morality of the reactants and crystal defects in the lattice. Our work focuses on the variation in lead ion concentration and its effect on the structural and optical properties of PbS thin films. The deposited films were analyzed using XRD, SEM, spectrophotometer and dark resistance measurement. XRD patterns indicated the formation of major phase of nano crystalline PbS with minor presence of lead oxide phase. We also noticed that peak intensity ratio of I111/I200 varied by changing the Pb ion concentration. The film thickness and dark resistance increased whereas optical band gap decreased with the decreasing Pb ion concentration. SEM scans showed that the grain size is less than 100 nm and is not affected by varying Pb ion concentration.

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A moving horizon approach to multivariable input design in general linear systems with constraints

A moving horizon approach to multivariable input design in g...

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10th IFAC Symposium on Dynamics and control of Process systems, DYCOPS 2013

作者： Patwardhan, R.S. Gopaluni, R.B. Process and Control Systems Department Saudi Aramco Dhahran 31311 Saudi Arabia Department of Chemical and Biological Engineering University of British Columbia Vancouver BC V6T 1Z4 Canada

ISBN: (纸本)9783902823595

The quality of a model determines the closed loop performance of model predictive controllers. However, identification of high quality multivariable models is a time and energy intensive exercise. The industrial model predictive controllers are designed using large dimensional multivariable models and they are often identified using ad-hoc single input bump tests. A novel multivariable input design approach is developed using a modified model predictive control objective function. It is shown that the proposed input design approach is trace optimal with respect to the covariance of model parameters. The approach is shown to work well in closed loop on both well and ill-conditioned processes even under model-plant mismatch while meeting input and output constraints. © IFAC.

关键词： Model predictive control

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Modeling of BOF Steelmaking Based on the Data-driven Approach

Modeling of BOF Steelmaking Based on the Data-driven Approac...

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2013 2nd International Conference on Nanotechnology Technology and Advanced Materials(ICNTAM 2013)

作者： Jinna Li Yuan Li Fang Liu Shengping Bie Chengchi Tang Xiaoling Zhang Lab of Operation and Control Shenyang University of Chemical Technology College of Information Engineering Shenyang University of Chemical Technology College of Chemical Engineering Shenyang University of Chemical Technology Lab of Industrial Control Networks and Systems Shenyang Institute of Automation Chinese Academy of Sciences

This paper is concerned with the modeling of both endpoint temperature and carbon content for BOF steelmaking. First, a linear regression predictive model is constructed based on the linear regression analysis method. Next, the response surface analysis method is used to construct a nonlinear predictive model. The significant contribution of this paper is that response surface analysis is proposed for constructing the predictive model of BOF steelmaking. Finally, experiment simulation results show the effectiveness and advantages of the proposed methods.

关键词： Basic oxygen furnace(BOF) steelmaking Linear regression analysis Response surface analysis Particle swarm optimization

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Post-combustion CO2 capture using structured bed loaded with functionalized SBA-15 sorbent

Post-combustion CO2 capture using structured bed loaded with...

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Separations Division 2013 - Core Programming Area at the 2013 AIChE Annual Meeting: Global Challenges for engineering a Sustainable Future

作者： Mittal, Nikhil Samanta, Arunkumar Segura, J. Amiri, Saeid Sarkar, Partha Gupta, Rajender Department of Chemical and Materials Engineering University of Alberta ECERF 9107-116 St. AB Canada Environment and Carbon Management Division Alberta Innovates - Technology Futures EdmontonAB Canada Wave Control Systems. Inc. EdmontonAB Canada

ISBN: (纸本)9781634390545

The conventional packed bed for post-combustion CO2 capture suffers from significantly high pressure drop whereas the fluidized bed finds problems in sorbent attrition and loss. So, there is a need of more reliable and efficient bed configuration, which can offer a lower pressure drop, fast mass transfer kinetics, high working capacity and improved thermal management. An alternative configuration to packed bed is sorbents placed in structured bed reactor. The major advantage of using structured bed for post-combustion CO2 capture is low pressure drop because of its straight gas flow channels. The hydrodynamics and external mass transfer can be optimized in this structured bed by adjusting channel size and channel shape, whereas the sorbent loading and/or internal mass transfer can be controlled by the thickness and structure of sorbent channel wall. The objectives of this investigation was to study the adsorption of CO2 from a flue gas in a structured bed loaded with amine functionalized SBA-15 sorbent and to understand the effect of various design variables such as sorbent bed diameter, channel spacing, membrane layer thickness, and flue gas volumetric flow rate etc. In the proposed structured bed, the solid sorbent is contained inside a porous alumina tubular membrane reactor (OD ∼ 4mm, ID ∼ 3mm and average pore diameter ∼0.8 micron) and CO2 laden bulk gas flows through the annular region. CO2 diffuses across the barrier layer and adsorbs preferentially on the solid sorbent. The equipment was designed and built to host single and multi-tube reactors with different lengths with minimum modification. The concentration of CO2 stream coming to and from the adsorption column was monitored as a function of time by a Pfeiffer mass spectroscopy (Model: OmniStar GSD 320). Each membrane tube was filled with approximately 0.2 g of 50 wt% PEI impregnated SBA-15 solid sorbent. Thermal swing adsorption cycles were initially tested at different temperatures for CO2 adsorption us

关键词： Sorbents

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Coordination of distributed model predictive controllers using price-driven coordination and sensitivity analysis

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IFAC Proceedings Volumes 2013年第32期46卷 215-220页

作者： Marti Ruben Sarabia Daniel Navia Daniel De Prada Cesar Dpt. Systems Engineering and Automatic Control University of Valladolid c/ Real de Burgos s/n 47011 Valladolid Spain Dpt. Chemical and Environmental Engineering Federico Santa Maria Technical University Santiago Chile

In this paper, a coordination control algorithm based on hierarchical scheme is presented to coordinate several non-linear model predictive controllers (NMPC) working in parallel, with an upper layer, where a price-driven coordination technique is used to drive the controllers in such a way that some global constraints are satisfied. To coordinate the lower layers, it is used a price-adjustment algorithm based on Newton's method, in which a reformulation of Fiacco's work is used in order to obtain the sensitivity analysis for a nonlinear system no matter the set of active constraints. The efficiency of the scheme is evaluated using a simulation of a four-tank benchmark.

关键词： Dual composition control Predictive control Price-driven Coordination Sensitivity analysis

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A Hybrid Stochastic-Deterministic Input Design Method for Active Fault Diagnosis

A Hybrid Stochastic-Deterministic Input Design Method for Ac...

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IEEE Annual Conference on Decision and control

作者： Joseph K. Scott G. Roberto Marseglia Lalo Magni Richard D. Braatz Davide M. Raimondo Department of Chemical Engineering Massachusetts Institute of Technology Cambridge MA USA Identification and Control of Dynamic Systems Laboratory University of Pavia Italy

ISBN: (纸本)9781467357159

The problem of designing an input to improve the detectability of faults has been addressed previously using both stochastic and deterministic formulations. This article presents a hybrid approach that provides a worst-case guarantee of diagnosis within a time interval [0,N], while maximizing the probability of diagnosis at some earlier time M < N. Compared to purely deterministic methods, this strategy reduces the average time required for diagnosis. Moreover, a high probability of diagnosis at M enables N to be chosen large, thus reducing the conservatism of the required input.

关键词： Fault diagnosis Input design Conservatism average time detectability Diagnosis Stochastic deterministic

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Modeling of two-dimensional dynamic temperature distribution of a LPCVD process and control design by MPC

Modeling of two-dimensional dynamic temperature distribution...

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Chinese control Conference (CCC)

作者： Pei Sun Xing Cai Junghui Chen Lei Xie Chao Xu Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310000 China Department of Chemical Engineering Chung-Yuan Christian University Taoyuan 999079 China

Low pressure chemical vapor deposition (LPCVD) is a familiar method for thin film growing in semiconductor manufacture. The surface temperature of wafers is studied in this work which plays the most important role in impacting the film's thickness and roughness. The calculation of configuration factors which are the key varibles in LPCVD process thermal modeling is shown. Then, the two-dimensional dynamic model of temperature distribution of wafers is established by studying the radiation and conduction in the depositing furnace. The result of this simulation model is compared with which in reference article. Finally, the temperature distribution is controlled to keep it uniform by predict control designing.

关键词： Electronic mail Temperature distribution Semiconductor device modeling Educational institutions Process control control design Sun

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BUDGET CONSTRAINTS IN HOMOGENOUS MULTI-UNIT AUCTIONS

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Journal of systems Science & Complexity 2012年第3期25卷 549-555页

作者： Yaqiong WU Yong ZHAO Chaoyuan YUE Xianglin WU College of Information Science and Technology Beijing University of Chemical Technology Institute of Systems Engineering Department of Control Science and EngineeringHuazhong University of Science and Technology

A homogenous multi-unit auction model is studied in two conditions： One is that the bidders face budget constraints and another is that the bidders do not face budget constraints. Two equilibrium bidding strategies of each bidder are presented in these two conditions. By comparing them, the authors show that the equilibrium unit price bid in the presence of budget constraints will be less than that in the absence of budget constraints. The difference between the two equilibrium bids leads to the reduced revenue of the seller. And this difference will decrease as the number of the bidders increases.

关键词： Auctions/bidding budget constraints equilibrium bidding strategy homogenous multi-unit.

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