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检索条件"任意字段=Symposium on Dynamics and Control of Process Systems"

共 1795 条记录，以下是651-660 订阅

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Model-based control of an Energy-integrated Batch Reactor - Feed Effluent Heat Exchanger System in a Campaign Mode

Model-based Control of an Energy-integrated Batch Reactor - ...

引用

9th IFAC symposium on control of Power and Energy systems (CPES 2015)

作者： Jogwar, Sujit S. Inst Chem Technol Dept Chem Engn Bombay 400019 Maharashtra India

In this paper, a novel model-based cascade control strategy has been developed for an energy-integrated batch reactor-feed effluent heat exchanger system. The presence of two time scales facilitates implementation of such a cascade strategy. An input-output model is developed for the slow dynamics of the system and is used for the design of a model-based controller to achieve desired product purity. The effectiveness of the proposed control strategy for disturbance rejection and operating point transitions is demonstrated with the help of simulation studies. The proposed strategy promises direct saving of energy, material and time.

关键词： Batch process Modeling and control Energy Integration Cascade control

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Distributed extremum-seeking control over networks of unstable dynamic agents 9

Distributed extremum-seeking control over networks of unstab...

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9th IFAC symposium on Advanced control of Chemical processes ADCHEM 2015

作者： Guay, M. Vandermeulen, I. Dougherty, S. McLellan, P. J. Queens Univ Dept Chem Engn Kingston ON K7L 3N6 Canada CALM Technol Inc Kingston ON Canada

In this paper, a distributed extremum seeking control technique is proposed to solve a class of real-time optimization problems over a network of dynamic agents with unknown unstable dynamics. Each dynamic agent measures a cost that is shared over a network. A dynamic average consensus approach is used to provide each agent with an estimate of the total network cost. The extremum seeking controller uses the local estimate of the total cost to adjust the value of the local decision variables. The contribution of the proposed technique is the simultaneous stabilization of the network dynamics and the distributed optimization of the total network cost. A dynamic network simulation example is presented to demonstrate the effectiveness of the technique. (C) 2015, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. Ail rights reserved.

关键词： Extremurn seeking control consensus estimation distributed optimization

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Kernel Canonical Variate Analysis for Nonlinear Dynamic process Monitoring 9

Kernel Canonical Variate Analysis for Nonlinear Dynamic Proc...

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9th IFAC symposium on Advanced control of Chemical processes ADCHEM 2015

作者： Samuel, Raphael T. Cao, Yi Cranfield Univ Sch Energy Environm & Agrifood Cranfield MK43 0AL Beds England

Effective monitoring of industrial processes provides many benefits. However,for dynamic processes with strong nonlinearity many existing techniques still cannot give satisfactory monitoring performance. This is evidenced by the well known Tennessee Eastman (TE) benchmark process, where some faults, e.g. Faults 3 and 9, have MA;been comfortably detected by almost all data-driven approaches published in the literature. This is because most data driven approaches, such as the principal component analysis (PCA) are linear. In recent years, powerful nonlinear analysis tools using kernel principles have been proposed. However, these tools have not been successfully applied to dynamic systems due to enormous dimensionality and complexity issues. This paper proposes nonlinear dynamic process monitoring based on kernel canonical variate analysis (KCVA). The proposed technique performs the traditional canonical variate analysis with KDE (CVA-KDE) in the kernel space generated from kernel PCA. The kernel PCA accounts for the nonlinearity in the process data while the CVA captures the process dynamics. The approach was tested on the TE benchmark problem for fault detection. The results obtained showed that KCVA detected faults at a higher rate and much earlier than CVA especially in LAIC more difficult faults such as Faults 3 mid 9 in the TE process which cause very little variation in the measured variables. (C) 2015, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. Ail rights reserved.

关键词： Canonical variate analysis kernel methods fault detection multivariate statistics process monitoring

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process control challenges of wet etching large MEMS si cavities 12

Process control challenges of wet etching large MEMS si cavi...

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12th International symposium on Ultra Clean processing of Semiconductor Surfaces, UCPSS 2014

作者： Kashkoush, Ismail Rieker, Jennifer Chen, Gim Nemeth, Dennis Akrion Systems LLC 6330 Hedgewood Drive AllentownPA18106 United States

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controller Verification and Parametrization Subject to Quantitative and Qualitative Requirements 9

Controller Verification and Parametrization Subject to Quant...

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9th IFAC symposium on Advanced control of Chemical processes ADCHEM 2015

作者： Andonov, Petar Savchenko, Anton Rumschinski, Philipp Streif, Stefan Findeisen, Rolf Otto Von Guericke Univ Lab Syst Theory & Automat Control Magdeburg Germany Tech Univ Ilmenau Dept Comp Sci & Automat Ilmenau Germany

Verifying if a process controller achieves a desired goal regarding safety specifications or performance is all important task in practice. This work presents a method or controller verification and parametrization of uncertain polynomial discrete-time systems with closed-loop requirements. Apart, trout quantitative constraints, also qualitative requirements, which are not directly linked to a specific time or amplitude, are considered. For formalizing these constraints, we employ linear temporal logic formulas and polynomial inequalities. Uncertainties can be considered in the input, the output, the initial conditions and the model parameters to account e.g. for model plant mismatch and noise, described as unknown-but-bounded variables. We combine the requirements and the system dynamics into a nonlinear feasibility problem to verify the controller and determine admissible controller parametrization. This problem is solved by relaxing it to a mixed integer linear program. The relaxation procedure guarantees that the derived set of possible parametrization fulfill the quantitative and qualitative requirements of the closed-loop behavior despite the present uncertainties. The proposed method is illustrated by verifying and parametrizing a controller for a two tank system. (c) 2015, IFAC (International Federation or Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： set-based method controller tuning inner approximation uncertain systems qualitative and quantitative requirements

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control-relevant Multiple Linear Modeling of Simulated Moving Bed Chromatography 9

Control-relevant Multiple Linear Modeling of Simulated Movin...

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9th IFAC symposium on Advanced control of Chemical processes ADCHEM 2015

作者： Sharma, Girish Vignesh, S. V. Hariprasad, K. Bhartiya, Sharad Indian Inst Technol Dept Chem Engn Bombay 400076 Maharashtra India

In this work, we propose a control-relevant multiple linear modeling approach for simulated moving bed chromatography (SMBC) by linearizing the first principles model at carefully chosen equilibrium points. Subsequently, sub-models to account for port switching for each of the linear model are obtained. Model aggregation is done using Bayesian weighting to generate multiple model predictions for the nonlinear dynamics of SMBC. The multiple model approach is validated using simulations for cyclic steady state (CSS) of SMB as well as for a transition between two optimal CSS points for separation of a glucose-fructose mixture. (C) 2015, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Simulated moving bed chromatography separation process cyclic steady state glucose-fructose system multiple linear modeling Bayesian approach

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Alternative approach to optimization in model predictive control using hill climbing algorithm 26

Alternative approach to optimization in model predictive con...

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26th DAAAM International symposium on Intelligent Manufacturing and Automation, DAAAM 2015

作者： Antos, Jan Kubalcik, Marek Department of Process Control Faculty of Applied Informatics Tomas Bata University in Zlín nám. T. G. Masaryka 5555 Zlín760 01 Czech Republic

ISBN: (纸本)9783902734075

The term predictive control designates a class of control methods suitable for control of various kinds of systems. One of the major advantages of predictive control is its ability to do on-line constraints handling in a systematic way. The predictive control is based on the prediction of a system behavior using a model. Based on this prediction, it is possible to optimize the systems behavior by utilization of a cost function. Each of control variables may be limited thus creating a specific subspace within a cost function. This problem is computationally complex and must be solved in each sampling period by optimization algorithms. Various kinds of algorithms may be applied. This contribution is focused on an alternative approach to optimization by implementation of Hill Climbing algorithm. The motivation for this concept is an effort to find algorithms suitable for reduction of computational expenses. These algorithms might be applied for control of systems with faster dynamics.

关键词： Cost functions

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Multiobjective Fuzzy Predictive Torque control of an Induction Machine fed by a 3L-NPC Inverter

Multiobjective Fuzzy Predictive Torque Control of an Inducti...

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IEEE International symposium on Predictive control of Electrical Drives and Power Electronics (PRECEDE)

作者： Rojas, Christian A. Kouro, Samir Perez, Marcelo Villarroel, Felipe Univ Tecn Federico Santa Maria Dept Elect Engn Valparaiso Chile CADETECH SA Concepcion 1085 Chile

ISBN: (纸本)9781509017171

Recently the use of Model Predictive control (MPC) in electrical motor drives has been reported both theoretically and experimentally. Predictive Torque control (PTC) has been developed to control induction motor drives, allowing high-performance and fast dynamics. However, the optimization used in PTC is based on a single cost function minimization, where control objectives are merged by using weighting factors. The adjustment of these factors is achieved through a nontrivial process and they are heavily dependent on the system parameters and user requirements, being a complex task in systems where two or three weighting factors must be adjusted. To avoid the well-known time-consuming simulations and branch and bound search process, a Multiobjective Fuzzy Predictive Torque control (FPTC) is presented for a Three-Level Neutral-Point-Clamped voltage source inverter (3L-NPC). The proposed strategy changes the single cost function with a Multiobjective Optimization based on Fuzzy-Decision-Making. Simulation results are presented to illustrate the behavior of the motor drive under steady-state and dynamic conditions.

关键词： Variable speed drives Induction motor drives Predictive control Fuzzy sets Decision making Multilevel inverters

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process Monitoring Based on Recursive Probabilistic PCA for Multi-mode process 9

Process Monitoring Based on Recursive Probabilistic PCA for ...

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9th IFAC symposium on Advanced control of Chemical processes ADCHEM 2015

作者： Zhang, Zhengdao Peng, Bican Xie, Linbo Peng, Li Jiangnan Univ Minist Educ Key Lab Adv Proc Control Light Ind Wuxi 214122 Jiangsu Peoples R China

A recursive probabilistic principal component analysis (PPCA) based data-driven fault identification method is proposed to handle the missing data samples and the mode transition in multi-mode process. This model is recursively obtained by using the increasing;number of normal observations with partly missing data. First, based on the singular value of historic data matrix, the whole process is divided into different steady modes and mock transitions. For steady modes, the conventional PPCA is used to obtain the principal components, and to impute the missing data. When the mode is a mode transition, the proposed recursive PPCA is applied, which can actually reveal the between-mode dynamics for process monitoring and fault, detection. After that, in order to identify the faults, a contribution analysis method is developed and used to identify the variables which make the major contributions to the occurrence of faults. The effectiveness of the proposed approach is demonstrated by the Tennessee Eastman chemical process. The results show that the presented approach can accurately detect abnormal events, identify the faults, and it is also robust to mode transitions. (c) 2015, IFAC (International Federation or Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Multi-mode mode transition missing data recursive probabilistic PCA Fault detection and identification

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Identification of the inverse dynamics of a serial robot for robot drive control 10

Identification of the inverse dynamics of a serial robot for...

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10. ETG/GMM-Fachtagung Innovative Small Drives and Micro-Motor systems, IKMT 2015 - 10th ETG/GMM symposium Innovative Small Drives and Micro-Motor systems, IKMT 2015

作者： Stückelmaier, Peter Grotjahn, Martin Fräger, Carsten University of Applied Sciences Hannover Germany

ISBN: (纸本)9783800740727

This paper presents a methodology for the experimental identification of the inverse dynamics of serial robots based on a statistical analysis. The aim is to identify all parameters of the dynamic model in an unbiased and robust way by using one appropriate measurement process. For this purpose a Fourier series is arranged for each joint as desired trajectory. The Fourier series is optimized with a statistical criterion to guarantee optimal excitation of all parameters. With the identified parameters and the analytical inverse dynamics model, feedforward control torques can be calculated for each drive. Measurements of the serial industrial robot KUKA KR 6-2 show that the presented trajectory generation and the linear parameter estimation methodology is suitable for robust identification of the inverse dynamics model. The strong impact of temperature dependent friction conditions is minimized by an identification in steady-state with quasi-constant temperature. The integration of feedforward torque-control on the developed test bench shows the expected improvements of control accuracy. An improvement of tracking accuracy compared to the original KUKA KR C4 controller is achieved. © VDE VERLAG GMBH Â Berlin Â Offenbach

关键词： Fourier series

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