检索结果-内蒙古大学图书馆

20th World Congress of the International-Federation-of-Automatic-control (IFAC)

作者： Shukla, Harsh A. Khusainov, Bulat Kerrigan, Eric C. Jones, Colin N. Ecole Polytech Fed Lausanne Lab Automat Lausanne Switzerland Imperial Coll London Dept Elect & Elect Engn London SW7 2AZ England Imperial Coll London Dept Aeronaut London SW7 2AZ England

This paper presents SPLIT, a C code generation tool for model predictive control (MPC) based on operator splitting methods. In contrast to existing code generation packages, SPLIT is capable of generating both software and hardware-oriented C code to allow quick prototyping of optimization algorithms on conventional CPUs and field-programmable gate arrays (FPGAs). A Matlab interface is provided for compatibility with existing commercial and open-source software packages. A numerical study compares software, hardware and heterogeneous implementations of splitting methods and investigates MPC design trade-offs. For the considered testcases the reported speedup of hardware implementations over software realizations is 3x to 11x. (C) 2017, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： model predictive and optimization-based control Hardware-software co-design Embedded computer architectures Hardware-in-the-loop simulation Splitting methods

来源：评论

学校读者我要写书评

暂无评论

model predictive control for Hydronic Heating Systems in Residential Buildings

Model Predictive Control for Hydronic Heating Systems in Res...

引用

20th World Congress of the International-Federation-of-Automatic-control (IFAC)

作者： Fielsch, Sven Grunert, Tim Stursberg, Matthias Kummert, Anton Univ Wuppertal Sch Elect Informat & Media Engn Commun Theory D-42119 Wuppertal Germany Vaillant GmbH D-42859 Remscheid Germany

This paper aims at transferring the benefits reported on model predictive control (MPC) for office buildings to residential buildings. A modular modeling approach for heating systems and a modified control design is proposed. The advantages of the attempt of particularly taking the hydraulic domain into account in the MPC law are shown and a comparison with a standard controller is done via simulation. (C) 2017, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： modeling for control optimization Industrial applications of optimal control Building Automation model predictive and optimization-based control

来源：评论

学校读者我要写书评

暂无评论

Optimal partitioning of a boiler-turbine unit for Fuzzy model predictive control

Optimal partitioning of a boiler-turbine unit for Fuzzy mode...

引用

20th World Congress of the International-Federation-of-Automatic-control (IFAC)

作者： Killian, M. Kozek, M. Vienna Univ Technol Inst Mech & Mechatron Vienna Austria

In order to effectively control the multi-input multi-output (MIMO) characteristics of a boiler-turbine unit Fuzzy model predictive control (FMPC) has been previously applied successfully. An important step in the FMPC design is the partitioning (also called the design of the antecedent rules). In this work it is shown that by exploiting the plant characteristics and by using suitable metrics of the nonlinearity a representative one-dimensional partition space can be defined. Furthermore, it is demonstrated that a simple partition into two linear models suffices to obtain a stable and performing control system. In order to achieve this simple FMPC a nonlinear stationary feed-forward decoupling is implemented. Simulation results demonstrate stability and performance of the resulting control system even for large reference steps. The methodology developed in this work is quite general and can be easily applied to the FMPC design for other nonlinear MIMO plants. (C) 2017, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： modeling and simulation of power systems Nonlinear predictive control model predictive and optimization-based control Intelligent control of power systems

来源：评论

学校读者我要写书评

暂无评论

Design and Experimental Validation of an Explicit MPC controller for Regulating Temperature in PEM Fuel Cell Systems *

引用

IFAC Proceedings Volumes 2011年第1期44卷 2476-2481页

作者： Alicia Arce Christos Panos Carlos Bordons Efstratios N. Pistikopoulos Automation and System Engineering Department University of Seville 41092 Sevilla Spain Centre of Process Systems Engineering. Department of Chemical Engineering Imperial College London London

Abstract This paper proposes a temperature controller for PEM fuel cell systems with an air blower as thermal circuit. The objective of this controller is to maintain the stack temperature over a given set-point which is obtained from the results of a real-time optimization algorithm with the goal of minimizing the stack degradation and maximizing the global efficiency. An Explicit MPC is proposed to deal with this control problem which presents delays, the critical sampling time, constraints and disturbances. The simulation results show good performance of the controller which accurately tracks the temperature reference over the overall range of operating conditions. Furthermore, the controller is implemented in real-time on a PEM fuel cell test-bench which is installed in the Fuel Cell Laboratory at the University of Seville.

关键词： Real-time model predictive and optimization-based control optimal operation and control of power systems

来源：评论

学校读者我要写书评

暂无评论

Water Management in PEM Fuel Cells: controllability Analysis and Steady-state optimization for Temperature control

引用

IFAC Proceedings Volumes 2011年第1期44卷 12231-12236页

作者： Alicia Arce Carlos Bordons Alejandro J. del real Automation and System Engineering Department University of Seville 41092 Sevilla Spain

Abstract This paper presents a controllability study of the water management inside anode channel by regulating the stack temperature for PEM fuel cell systems with dead-ended anode. Moreover, this work includes the design of a steady-state target optimizer which calculates the temperature set-point profiles that minimize the stack degradation and the hydrogen leaks. The control architecture is successfully simulated and the results show promising performance.

关键词： Thermal degradation optimal operation and control of power systems model predictive and optimization-based control

来源：评论

学校读者我要写书评

暂无评论

Discontinuous modeling Formulations for the Optimal control of Partial Shutdowns *

引用

IFAC Proceedings Volumes 2011年第1期44卷 3659-3664页

作者： Zhiwen Chong Christopher L.E. Swartz Department of Chemical Engineering McMaster University 1280 Main St W Hamilton ON L8S 4L7 Canada

Abstract A control strategy is proposed for the optimal operation of multi-unit system undergoing a partial shutdown. The strategy entails manipulating the degrees-of-freedom available during and after a shutdown such that production is restored in a cost-optimal fashion while meeting safety and operational constraints. In this work, we propose several efficient modeling formulations for handling model discontinuities such as shutdown thresholds, induced shutdowns and minimum shutdown duration. The problem is cast as a mixed-integer dynamic optimization problem (MIDO) and is embedded within a feedback control framework based on model predictive control (MPC). A two-tiered regularization approach is presented.

关键词： model predictive and optimization-based control Inventory control modeling Discontinuities

来源：评论

学校读者我要写书评

暂无评论

model-based predictive control for the Exhaust Gas Cycle of an Oxyfuel-Process

引用

IFAC Proceedings Volumes 2008年第2期41卷 10910-10915页

作者： Th. Nötges S. Hölemann D. Abel Institute of Automatic Control RWTH Aachen University Aachen Germany

The global environmental warming which is discussed these days is, at the opinion of many experts, amongst other things ascribed to human induced carbon dioxide emissions which intensify the greenhouse effect. To face and overcome the negative consequences like environmental disasters, the rising mean sea level and others, new power plant concepts are researched and developed. In this article a novel, zero emission, oxyfuel power plant concept is discussed. Due to the novelty of the process it is examined in calculations, simulations and laboratory tests by a research group at RWTH Aachen university and does not exist in reality by now. Besides a conventional water cycle, an exhaust gas cycle has a major function in the process. The operation of the exhaust gas cycle requires an automation concept. In this paper an object-oriented model is used as a basis for examining the process behaviour and developing a controller for the multivariable and strongly coupled system. For the sliced exhaust gas cycle a model-based predictive controller is introduced. A parameter study presents the impact of selected controller parameters.

关键词： model predictive and optimization-based control Process modelling and identification modelling, operation and control of power systems control system design Object oriented modelling

来源：评论

学校读者我要写书评

暂无评论

A Hidden Markov disturbance model for Offset-free linear model predictive control

引用

IFAC Proceedings Volumes 2008年第2期41卷 1940-1945页

作者： Wee Chin Wong Jay H. Lee School of Chemical and Biomolecular Engineering Georgia Institute of Technology Atlanta GA 30332 USA (Tel: 404-385-2149 School of Chemical and Biomolecular Engineering Georgia Institute of Technology Atlanta GA 30332 USA (Tel: 404-385-2148

model predictive controllers are often designed with integral action to impart robustness. For this, disturbance models are usually employed. It is customary to append integrated white-noises to either the input or output channels. However, neither by themselves may be adequate representations in the presence of switching disturbance patterns that are typically witnessed in process industries. In order to handle such scenarios, we first propose a differenced state-space formulation that can incorporate both input and output disturbances while retaining detectability. Then, we couple it with Hidden Markov model (HMM) to express the switching characteristics of the disturbances. This bypasses the need to add artificial noises into state variables to consider both the input and output disturbances, as previously suggested. Simulation examples are provided to highlight closed-loop performance improvement as a result of the proposed formulation.

关键词： model predictive and optimization-based control nonlinear process control

来源：评论

学校读者我要写书评

暂无评论

model predictive control of Free Surfactant Concentration in Emulsion Polymerization

引用

IFAC Proceedings Volumes 2008年第2期41卷 8375-8380页

作者： Bruno da Silva Pascal Dufour Nida Sheibat-Othman Sami Othman Université de Lyon Lyon F-69003 France Université Lyon 1 CNRS UMR 5007 LAGEP (Laboratory of Process Control and Chemical Engineering) 43 bd du 11 novembre 69100 Villeurbanne France

In emulsion polymerization processes, the surfactant concentration plays an important role in the latex stability, reaction kinetics and particle size distribution (PSD). controlling the free surfactant concentration in the aqueous phase ensures the stability of the latex and the control of the micellar nucleation rate. The PSD is determined by particle nucleation, growth and stability which are highly nonlinear behaviors. The PSD affects the polymer rheology, adhesion, optical properties and mechanical strength. This work deals with the model predictive control (MPC) of free surfactant concentration using the surfactant feed rate as a control variable. The used strategy is a global method that aims to reduce the on-line calculation time due to the partial differential equations (PDE) model based optimization task resolution. In order to decrease the computational burden, the nonlinear PDE system is solved off-line. Then, a linearized PDE model around the previous off-line behavior is used to find the optimal variations for the on-line predictive control.

关键词： control of distributed systems model predictive and optimization-based control Process control applications

来源：评论

学校读者我要写书评

暂无评论

Multiobjective optimization of control Trajectories for the Guidance of a Rail-bound Vehicle

引用

IFAC Proceedings Volumes 2008年第2期41卷 4380-4386页

作者： M.Sc. Jens Geisler Dipl.-Math. Katrin Witting Ansgar Trächtler Michael Dellnitz Control Engineering and Mechatronics (RtM) University of Paderborn Germany Faculty of Computer Science Electrical Engineering and Mathematics University of Paderborn Germany

Self-optimization refers to the ability of a mechatronic system to autonomously adapt the way it performs its functions to changing environmental and operational conditions or user demands. In this work we propose to use multiobjective optimal control to enable the self-optimization of the guidance of a rail-bound vehicle. We consider different strategies to reduce the computational cost of the optimization. Most importantly, a two-degree-of-freedom controller is used to separate optimal trajectory generation from disturbance compensation. Also, in order to solve the multiobjective optimization problem, an approximation of the entire set of optimal compromises of the objectives, the so-called Pareto set, is computed offline at design time. From this, we can derive a collection of weighting vectors that capture the best trade-off between the objectives for different situations. Given this set of preselected weights, for the online optimization, the objective function can be taken to be a weighted sum that best matches the situation at hand. For the guidance system we consider three objectives. Preliminary offline simulation results are presented.

关键词： Mechatronic systems Guidance and control model predictive and optimization-based control Trajectory generation Self-optimization Multiobjective optimization

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：