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A Novel Scheduling Strategy for Crude Oil Blending

Chinese Journal of Chemical engineering 2010年第5期18卷 777-786页

作者：摆亮江永亨黄德先刘先广 Institute of Process Control Engineering Department of Automation Tsinghua University Beijing 100084 China TECHFLY Company Beijing 100083 China

For those refineries which have to deal with different types of crude oil, blending is an attractive solution to obtain a quality feedstock. In this paper, a novel scheduling strategy is proposed for a practical crude oil blending process. The objective is to keep the property of feedstock, mainly described by the true boiling point (TBP) data, consistent and suitable. Firstly, the mathematical model is established. Then, a heuristically initialized hybrid iterative (HIHI) algorithm based on a two-level optimization structure, in which tabu search (TS) and differential evolution (DE) are used for upper-level and lower-level optimization, respectively, is proposed to get the model solution. Finally, the effectiveness and efficiency of the scheduling strategy is validated via real data from a certain refinery.

关键词： crude oil blending scheduling multilevel iterative algorithm intelligent optimization constrained optimization

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Identification of the nonlinear, multivariable behavior of mechatronic combustion engines

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IFAC Proceedings Volumes 2010年第18期43卷 16-23页

作者： R. Isermann A. Schreiber Institute of Automatic Control Laboratory of Control Engineering and Process Automation TU Darmstadt Germany

The identification of the nonlinear dynamic behavior of combustion engines on test benches is described. A method, that is based on the combination of statistical stationary engine measurement (Design of Experiments - DoE) and dynamic identification techniques for nonlinear multi-input systems is shown. The dynamics are excited by several amplitude-modulated pseudorandom-binary-signals (APRBS), which act on the engine simultaneously, in order to allow a short measurement time period. To show the applicability of the described identification and modelling methods several models for a common-rail diesel engine with exhaust gas recirculation and variable geometry turbocharger (VGT) are shown, with five input variables and the outputs nitrogen-oxide emissions, opacity, air-fuel ratio (Lambda) and exhaust gas temperature.

关键词： Engine control Diesel engines Dynamic modelling Engine dynamometer Nonlinear models Parameter estimation

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Stationary Global-Local Emission Models of a CR-Diesel Engine with Adaptive Regressor Selection for Measurements of Airpath and Combustion

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IFAC Proceedings Volumes 2010年第7期43卷 246-251页

作者： Heiko Sequenz Matthias Mrosek Rolf Isermann Institute of Automatic Control Laboratory of Control Engineering and Process Automation Technical University Darmstadt Germany

A model structure for stationary emission models is presented. The emissions NO x , soot and opacity are separately modeled. Model inputs are the air mass flow rate, charge air pressure, intake temperature, the location of mass fraction burned 50% and the engine operation point. Local polynomials are trained for each operation point, defined by engine speed and injection quantity. To increase accuracy a selection algorithm of the significant regressors is presented. The local models are composed by means of weighting functions, depending on the engine operation points, to global emission models. For a rasterized operation range, the weighting can be interpreted as a linear interpolation of local models. This enables an easy implementation to common electronic control units (ECUs). Measurements from a CR-Diesel engine show the quality of the models.

关键词： Automotive Emissions Local Regression Subset Selection Parametric Identification Algorithm Stationary Emission Models

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Neuro-fuzzy control of chemical reactor with disturbances

Neuro-fuzzy control of chemical reactor with disturbances

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作者： Blahová, Lenka Dvoran, Ján Department of Information Engineering and Process Control Institute of Information Engineering Automation and Mathematics Slovak University of Technology in Bratislava Radlinského 9 812 37 Bratislava Slovakia

ISBN: (纸本)9789604741991

This paper presents the control design via the combination of the neural predictive controller and the neurofuzzy controller. The neuro-fuzzy controller type of ANFIS works in parallel with the neural predictive controller and adjust the output of the predictive controller, in order to enhance predicted inputs. The performance of our proposal is demonstrated on the Continuous Stirred-Tank Reactor control problem with disturbances.

关键词： Chemical reactors

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THD reduction with grid synchronized inverter's power injection of renewable sources

THD reduction with grid synchronized inverter's power inject...

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2010 International Symposium on Power Electronics, Electrical Drives, automation and Motion, SPEEDAM 2010

作者： Gorbe, Peter Magyar, Attila Hangos, Katalin M. Department of Electrical Engineering and Information Systems University of Pannonia 8200 Veszprém Hungary Process Control Research Group Computer and Automation Research Institute 1518 Budapest Hungary

ISBN: (纸本)9781424449873

A control method for small domestic power plants using renewable energy is described in this paper. This method is not only capable of optimizing the working point of the plant but also implements active power factor correction and lowers the extant harmonic distortion in the line. The novel element in the proposed complex controller structure is the upper harmonic controller that minimizes the amplitudes of the 3rd, 5th 7th, 9th, and the 11th upper harmonic component in the output voltage. The proposed controller has been investigated by simulation in Matlab environment, and as a result, substantial improvement of the output voltage and current waveform could be achieved. Robustness of the method against nonlinear loads has also been tested. 0 © 2010 IEEE.

关键词： Solar power generation

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Installation effects of ultrasonic flowmeter in single bend pipe

Installation effects of ultrasonic flowmeter in single bend ...

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15th International Flow Measurement Conference 2010, FLOMEKO 2010

作者： Zheng, Dan-Dan Zhang, Tao Sun, Li-Jun Meng, Tao Hu, He-Ming Wang, Chi Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin 300072 China National Institute of Metrology of China Beijing 100013 China

ISBN: (纸本)9781617824722

The downstream flow of 90° single bend was investigated by computational fluid dynamics (CFD). An acoustic transit time flowmeter was exposed to the downstream flow at various positions. Measurement errors with different meter configurations and effects of pipe wall roughness were discussed. Numerical simulation results of three diameter pipes 0.1m, 1m and 10m with increasing the roughness from 0 to 1mm were presented within Reynolds number (Re) range from 5× 103 to 5×106. Copyright © FLOMEKO 2010.

关键词： Flow measurement

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A Comparison of Arithmetic Operations for Dynamic process Optimization Approach

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Chinese Journal of Chemical engineering 2010年第1期18卷 80-85页

作者：洪伟荣谭鹏程王树青 Pu Li Institute of Process Equipment Zhejiang University Hangzhou 310027 China Institute of Cyber-System and Control State Key Lab of Control Technology Zhejiang University Hangzhou310027 China Institute of Automation and Systems Engineering Ilmenau University of Technology Ilmenau 98684 Germany

A comparison of arithmetic operations of two dynamic process optimization approaches called quasi-sequential approach and reduced Sequential Quadratic Programming(rSQP)simultaneous approach with respect to equality constrained optimization problems is *** the detail comparison of arithmetic operations,it is concluded that the average iteration number within differential algebraic equations(DAEs)integration of quasi-sequential approach could be regarded as a *** formula is given to calculate the threshold value of average iteration *** the average iteration number is less than the threshold value,quasi-sequential approach takes advantage of rSQP simultaneous approach which is more suitable *** optimal control problems are given to demonstrate the usage of threshold *** optimal control problems whose objective is to stay near desired operating point,the iteration number is usually ***,quasi-sequential approach seems more suitable for such problems.

关键词： dynamic optimization arithmetic operation comparison quasi-sequential approach simultaneous approach

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Base vector learning mechanism for fuzzy model

Base vector learning mechanism for fuzzy model

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International Conference on Digital Manufacturing and automation

作者： Fan, Yugang Wang, Hua Wang, Haiqing Wu, Jiande Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming China Faculty of Metallurgy and Energy Engineering Kunming University of Science and Technology Kunming China National Lab of Industrial Control Technology Institute of Industrial Process Control Zhejiang University Hangzhou China

ISBN: (纸本)9780769542867

Fuzzy model based on support vector machine(SVM-based fuzzy model) was proposed in recent years. Although SVM has an excellent generalization performance, it is considered to have lower computation speed, and a large number of support vectors may be found, which leads to a complex fuzzy model with too many rules. To deal with the problem, the paper presents a new approach called base vector learning(BVL) to build fuzzy model. There are two steps in the process of the BVL-based fuzzy modeling. First, the quadratic Renyi entropy is applied to select base vectors, which are used to span a subspace in feature space F. Then, all data are projected onto this subspace where classical algorithms such as classification or regression can be applied. If Gaussian kernel is considered, the structure of BVL is equivalent to fuzzy model. The performance of the proposed learning scheme is illustrated by experiments of classification and regression. © 2010 IEEE.

关键词： Support vector machines

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Concentration prediction of 4-CBA based on local weighted LS-SVM

Concentration prediction of 4-CBA based on local weighted LS...

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International Conference on Digital Manufacturing and automation

作者： Fan, Yugang Wang, Hua Wang, Haiqing Wu, Jiande Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming China Faculty of Metallurgy and Energy Engineering Kunming University of Science and Technology Kunming China National Lab. of Industrial Control Technology Institute of Industrial Process Control Zhejiang University Hangzhou China

ISBN: (纸本)9780769542867

In this paper, a new fuzzy adaptive local modeling method based on local learning and weighted least squares support vector machine (LS-SVM) is proposed by building fuzzy membership model for the training data. Just as LS-SVM, local LS-SVM is also sensitive to outliers or noises. A proper fuzzy membership model based on support vector data description (SVDD) is proposed to deal with the problem. Fuzzy membership value to each input sample is confirmed according to it's distance to the center of smallest enclosing hypersphere determined by SVDD. The proposed local weighted LS-SVM is applied to predict the concentration of 4-Carboxybenzaldchydc (4-CBA) in purified terephthalic acid (PTA) oxidation process. Results indicate that the proposed method actually reduces the effect of outliers and its accuracy is improved. © 2010 IEEE.

关键词： Vectors

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Dynamic modeling and model analysis of a large industrial synchronous generator

Dynamic modeling and model analysis of a large industrial sy...

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作者： Fodor, Attila Magyar, Attila Hangos, Katalin M. Department of Electrical Engineering and Information Systems University of Pannonia 8200 Veszprém Hungary Process Control Research Group Computer and Automation Research Institute HAS Budapest Hungary

ISBN: (纸本)9788070438657

A simple dynamic model of an industrial size synchronous generator operating in a nuclear power plant is developed in this paper based on first engineering principles. The constructed state-space model consists of a nonlinear state equation and a bi-linear output equation. It has been shown that the model is locally asymptotically stable with parameters obtained from the literature for a similar generator. The effect of load disturbances on the partially controlled generator has been analyzed by simulation using a traditional PI controller. It has been found that the controlled system is stable and can follow the set-point changes in the effective power well. The disturbance rejection of the controller is also satisfactory.

关键词： Disturbance rejection

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