检索结果-内蒙古大学图书馆

Detection, isolation and handling of actuator faults in distributed model predictive control systems

JOURNAL OF PROCESS control 2010年第9期20卷 1059-1075页

作者： Chilin, David Liu, Jinfeng Munoz de la Pena, David Christofides, Panagiotis D. Davis, James F. Univ Calif Los Angeles Dept Chem & Biomol Engn Los Angeles CA 90095 USA Univ Seville Dept Ingn Sistemas & Automat Seville 41092 Spain Univ Calif Los Angeles Dept Elect Engn Los Angeles CA 90095 USA

In this work, we focus on monitoring and reconfiguration of distributed model predictive control systems applied to general nonlinear processes in the presence of control actuator faults. Specifically, we consider nonlinear process systems controlled with a distributed control scheme in which two Lyapunov-based model predictive controllers manipulate two different sets of control inputs and coordinate their actions to achieve the desired closed-loop stability and performance specifications. To deal with control actuator faults which may reduce the ability of the distributed control system to stabilize the process, a model-based fault detection and isolation and fault-tolerant control system which detects and isolates actuator faults and determines how to reconfigure the distributed control system to handle the actuator faults while maintaining closed-loop stability is designed. A detailed mathematical analysis is carried out to determine precise conditions for the stabilizability of the fault detection and isolation and fault-tolerant control system. A chemical process example, consisting of two continuous stirred tank reactors and a flash tank separator with a recycle stream and involving stabilization of an unstable steady-state, is used to demonstrate the approach. (C) 2010 Elsevier Ltd. All rights reserved.

关键词： Fault detection and isolation Fault-tolerant control distributed model predictive control Nonlinear processes

来源：评论

学校读者我要写书评

暂无评论

Design and simulation of model predictive control for multivariable distillation column

Design and simulation of model predictive control for multiv...

引用

IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology

作者： Samruddhi Chavan Namrata Birnale Amruta S. Deshpande Instrumentation & Control Department College of Engineering Pune

ISBN: (数字)9781538624401

ISBN: (纸本)9781538624418

Distillation is fundamental separation processes in the chemical and petrochemical industry. Keeping a constant product composition in a distillation column is of great importance from an economical aspect. Difficulties arise because of multitude of potential variable interactions and disturbance in the system. Wood and berry being the transfer function model, is widely accepted for continuous process of distillation column. The goal of this paper is to design advance control strategy for MIMO system. PID control with and without de-coupler is also implemented and compared with model based predictive control using MATLAB.

关键词： Distillation column Woodberry PID control Decoupler model predictive control MIMO Distillation columns decoupler model predictive control predictive control multiple input multiple output systems distributed model predictive control nonlinear model predictive control Proportional Integral Derivative control Proportional derivative control TRANSFER FUNCTIONS Petrochemical industry

来源：评论

学校读者我要写书评

暂无评论

An Application of the Fast Gradient Method to model predictive control of an Atomic Force Microscope X-Y Stage 1

An Application of the Fast Gradient Method to Model Predicti...

引用

1st Annual IEEE Conference on control Technology and Applications

作者： Braker, Roger A. Pao, Lucy Y. Univ Colorado Dept Elect Comp & Energy Engn Boulder CO 80309 USA

ISBN: (纸本)9781509021826

Random sub-sampling imaging methods in Atomic Force Microscopy require the piezo X-Y stage to track a sequence of step inputs. control slew-rate limits combined with linear feedback methods have been shown to limit achievable performance in this scenario. Due to its natural ability to account for actuation constraints, we consider the application of model predictive control. By recasting the problem in an incremental form, the arising quadratic program takes a form that can be solved efficiently. Specifically, we solve an input constrained model predictive control problem with 50 states, a control horizon of 12 samples, and a sample frequency of 25 kHz using the Fast Gradient Method. We present experimental results using the method applied to a nano-positioning stage.

关键词： Fast Gradient an Atomic piezo X-Y predictive control model predictive control control horizon SAMPLING FREQUENCY gradient methods Atomic Force Microscopy step input distributed model predictive control nonlinear model predictive control Fasting Incremental

来源：评论

学校读者我要写书评

暂无评论

Detection, isolation and handling of actuator faults in distributed model predictive control systems

Detection, isolation and handling of actuator faults in dist...

引用

IFAC Symposium on Advanced control of Chemical Processes (ADCHEM)

关键词： Fault detection and isolation Fault-tolerant control distributed model predictive control Nonlinear processes

来源：评论

学校读者我要写书评

暂无评论

model predictive control and Extended Kalman Filter for a Gas-Liquid Cylindrical Cyclone 1

Model Predictive Control and Extended Kalman Filter for a Ga...

引用

1st Annual IEEE Conference on control Technology and Applications

作者： Kristoffersen, Torstein Thode Holden, Christian Norwegian Univ Sci & Technol NTNU Dept Mech & Ind Engn Trondheim Norway

ISBN: (纸本)9781509021826

Gas-liquid cylindrical cyclone separators are widely used in several applications, including bulk separation of hydrocarbons. Recently, these separators have been considered for subsea separation because of their low weight and compact design. However, disadvantages associated with their design are the resulting fast dynamics and small operational volume, which make them highly sensitive to flow variations. There are two possible approaches for dealing with this problem: (1) increasing the operational volume or (2) improved control. The fast dynamics necessitates a fast and computationally inexpensive control algorithm. Therefore, in this paper, we consider a newly proposed nonlinear dynamic model containing unmeasured parameters to design a model predictive control algorithm for real-time offset-free optimal control, i.e., improved transient handling and product quality optimization. Offset-free optimal control is achieved by augmenting the states with integral error states of the controlled variables. The MPC algorithm with and without state feedback from the estimator is compared in simulations, both achieving offset-free optimal control.

关键词： model predictive control Extended Kalman Filter Gas-Liquid Extended Kalman filters model predictive control predictive control distributed model predictive control nonlinear model predictive control bulk separation Computer algorithms Optimal control Fasting Cylindrical Underweight

来源：评论

学校读者我要写书评

暂无评论

Partitioning for Large-scale Systems: A Sequential distributed MPC Design

Partitioning for Large-scale Systems: A Sequential Distribut...

引用

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

作者： Barreiro-Gomez, J. Ocampo-Martinez, C. Quijano, N. Univ Politecn Cataluna Automat Control Dept Inst Robot & Informat Ind CSIC UPC Llorens i Artigas 4-6 E-08028 Barcelona Spain Univ Los Andes Dept Ingn Elect & Elect Carrera 1 18A-10 Bogota Colombia

Large-scale systems involve a high number of variables making challenging the design of controllers because of information availability and computational burden issues. Normally, the measurement of all the states in a large-scale system implies to have a big communication network, which might be quite expensive. On the other hand, the treatment of large amount of data to compute the appropriate control inputs implies high computational costs. An alternative to mitigate the aforementioned issues is to split the problem into several sub-systems. Thus, computational tasks may be split and assigned to different local controllers, letting to reduce the required time to compute the control inputs. Additionally, the partitioning of the system allows control designers to simplify the communication network. This paper presents a partitioning algorithm performed by considering an information-sharing graph that can be generated for any control strategy and for any dynamical large-scale system. Finally, a distributed model predictive control (DMPC) is designed for a large-scale system as an application of the proposed partitioning method. (C) 2017, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Partitioning large-scale systems distributed model predictive control

来源：评论

学校读者我要写书评

暂无评论

Enhanced distributed MPC Design for Efficiency Utility of Autonomous Multi-microgrids 11

Enhanced Distributed MPC Design for Efficiency Utility of Au...

引用

11th Asian control Conference (ASCC)

作者： Du, Yigao Wu, Jing Li, Shaoyuan Long, Chengnian Shanghai Jiao Tong Univ Dept Automat Shanghai 200240 Peoples R China Shanghai Jiao Tong Univ Minist Educ Lab Syst Control & Informat Proc Shanghai 200240 Peoples R China

ISBN: (纸本)9781509015733

In this paper, a load management is presented for autonomous multi-microgrids, who consist of multiple Renewable Energy Sources (RESs), energy storages and smart loads. In particular, a new energy mismatch balance and optimal distributed scheduling problem are formulated to achieve the supply-demand match in system-level. By coordinating with each other, the surplus renewable energy among multi-microgrids can be distributed to the corresponding microgrid who requests for extra supply for the loads. Moreover, the enhanced distributed model predictive control (DMPC) strategy is designed to guarantee the RESs efficiency and necessary demand response. Our simulation results demonstrate the effectiveness of our proposed method.

关键词： Multi-microgrids Load Management distributed model predictive control Renewable Energy Sources Demand Response

来源：评论

学校读者我要写书评

暂无评论

Review of Automatic Generation control in Deregulated Environment

Review of Automatic Generation Control in Deregulated Enviro...

引用

control Conference Africa (CCA)

作者： Esmail, M. Tzoneva, R. Krishnamurthy, S. Cape Peninsula Univ Technol Dept Mech Engn Symphony Way ZA-7535 Bellville South Africa Cape Peninsula Univ Technol Dept Elect Elect & Comp Engn Symphony Way ZA-7535 Bellville South Africa

This paper reviews various control methods for design of Automatic Generation control (AGC) in the deregulated power system environment. The power system models and control techniques/structures that concern the AGC problem design and implementation issues have been addressed and analysed. Further, discussion on challenges and advantages associated with the reviewed control techniques/ structures has been presented. (C) 2017, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： AGC Deregulated power system Soft computing techniques Robust control distributed model predictive control Centralized Decentralized distributed control systems

来源：评论

学校读者我要写书评

暂无评论

distributed MPC with Application to AGC of Power System with Wind-Photovoltaic Hybrid Generation 36

Distributed MPC with Application to AGC of Power System with...

引用

第36届中国控制会议

作者： Yubin Jia Changyin Sun School of Automation Southeast University Key Lab of Measurement and Control of Complex Systems of Engineering Ministry of Education

ISBN: (纸本)9781538629185

In modern power system,renewable energy（e.g.,wind and solar energy） is an essential part of the smart *** problem of the fluctuate output of renewable energy generation and cooperation with traditional energy generation present significant challenges to the automatic generation control（AGC） in future smart *** paper presents a distributed model of AGC that contains thermal,hydro and wind-solar power *** on this model,we formulate a distributed model predictive control（DMPC） problem and propose a quadratic programming（QP） based approach to solve *** performance of the proposed method is demonstrated through simulations.

关键词： distributed model predictive control wind and solar generation system automatic generation control

来源：评论

学校读者我要写书评

暂无评论

Two-layer model predictive Formation control Of Unmanned Surface Vehicle

Two-layer Model Predictive Formation Control Of Unmanned Sur...

引用

Chinese Automation Congress (CAC)

作者： Fan, Zhenyuan Li, Huiping Northwestern Polvech Univ Sch Marine Sci & Technol Xian Shaanxi Peoples R China

ISBN: (纸本)9781538635247

This paper studies the model predictive formation control problems of unmanned surface vehicles (USVs). A two layer model predictive control (MPC)-based formation control strategy is proposed. The proposed formation strategy artificially divides the model of each USV into two layers according to its kinematic model and dynamic model. Using the kinematic model, a distributed MPC algorithm is designed to ensure formation and coordination;with the generated command from the distributed MPC as tracking reference, an MPC is designed 14 the dynamic model to ensure optimal command tracking. Simulation and comparison studies show that the designed algorithm is computational more efficient in comparison with the centralized MPC formation algorithm.

关键词： distributed model predictive control formation control unmanned surface vehicle

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：