检索结果-内蒙古大学图书馆

American control Conference

作者： L. G. Moreira L. B. Groff J. M. Gomes da Silva S. Tarbouriech Department of Automation and Energy (DELAE) and Pos-Graduation Program in Electrical Engineering (PPGEE) UFRGS av. Osvaldo Aranha 103 90035-190 Porto Alegre-RS Brazil LAAS-CNRS Universite de Toulouse CNRS France

ISBN: (纸本)9781467386838

This paper proposes a methodology to design stabilizing event-trigger strategies for PI controlled linear continuous-time plants subject to input saturation. Using Lyapunov theory techniques, LMI-based conditions are derived to guarantee regional (or global, when possible) asymptotic stability of the origin. These conditions can be cast in an optimization problem to choose the parameters of the trigger function aiming at reducing the sampling activity, while ensuring the regional stability of the origin with respect to a given set of admissible initial states. Simulation results illustrate the application and potentialities of the method.

关键词： Closed loop systems Asymptotic stability Symmetric matrices Stability criteria Design methodology Closed loop systems Symmetric matrix asymptotic stability region Stability criteria PI control Event trigger Economic Resources

来源：评论

学校读者我要写书评

暂无评论

Influence of slot geometry on air gap magnetic flux density of rotating machines

Influence of slot geometry on air gap magnetic flux density ...

引用

IEEE International Conference on Environment and electrical engineering

作者： Rodrigo Alves de Lima A. C. Paulo Coimbra Tony Almeida Viviane Margarida Gomes Thiago Martins Pereira Aylton José Alves Wesley Pacheco Calixto Program in Electronic Systems and Automation PGEA Department of Electrical Engineering ENE University of Brasilia UnB Institute of Systems and Robotics ISR University of Coimbra UC Experimental & Technological Research and Study Group NExT Federal Institute of Goias IFG

ISBN: (纸本)9781509023219

The objective of this work is to investigate the influence of slotted air gap constructive parameters on magnetic flux density of rotating machines. For this purpose, different approaches were used to solve the air gap field diagram using finite element method and the magnetic field distribution uniformity was evaluated by Carter's factor calculation. Sensitivity analysis of slot constructive parameters was performed and results show that slot geometry modifies the magnetic flux on air gap and shifts the air gap magnetic equipotential midline of double slotted machines.

关键词： Carter's factor finite elements method rotating machines

来源：评论

学校读者我要写书评

暂无评论

Model predictive control for PV maximum power point tracking of single-phase submultilevel inverter

Model predictive control for PV maximum power point tracking...

引用

Power and Energy Conference at Illinois (PECI)

作者： Morcos Metry Sertac Bayhan Robert S. Balog Haitham Abu Rub Qatar Foundation Hamad Bin Khalifa University Doha Qatar Renewable Energy & Advanced Power Electronics Research Laboratory Department of Electrical & Computer Engineering Texas A&M University College Station USA Electrical & Computer Engineering Program Texas A&M University at Qatar Doha Qatar Department of Electronics & Automation Gazi University Ankara Turkey

Dynamic behavior of solar energy resource entails the need of robust controllers that can converge to the maximum power point (MPP) to maximize energy harvest. This paper explores an improved Perturb and Observe (P&O) technique that combines a fixed step model predictive controller (MPC), to speed up the control loop, applied to a boost converter. The proposed MPC Maximum Power Point Tracking (MPPT) technique is of higher efficacy and robustness over conventional MPPT. The improved MPC-MPPT is tested for the first time on an MPC strategy of seven-level subMultilevel Inverter (sMI) using three power arms cascaded with the H-bridge inverter. Such topology brings about many sizable benefits such as reduced number of power switches and their gate drivers when compared to the traditional multilevel inverter. MPC is also used as the control strategy for the sMI to eliminate complexities in the space vector pulse width modulation (SVPWM) and overcome the weaknesses of the inner control loop performance.

关键词： Maximum power point trackers Cost function Predictive models Inverters Switches Predictive control

来源：评论

学校读者我要写书评

暂无评论

Unit-level modelling for KPI of batch hot strip mill process using dynamic partial least squares

引用

IFAC-PapersOnLine 2015年第28期48卷 1005-1010页

作者： Zhang, Kai Shardt, Yuri A. W. Chen, Zhiwen Ding, Steven X. Peng, Kaixiang Institute for Automatic Control and Complex Systems University of Duisburg-Essen Bismarckstrasse 81 BB Duisburg47057 Germany Key Laboratory for Advanced Control of Iron and Steel Process School of Automation and Electrical Engineering University of Science and Technology of Beijing Beijing100083 China

This paper proposes two different approaches to the problem of modelling the key performance indicators (KPIs) in a hot strip mill process (HSMP). The first approach takes into consideration the inherent dynamics of the process and develops a nonlinear iterative dynamic partial least squares (PLS) model. The second approach takes into consideration the multibatch property of HSMP to develop an appropriate multibatch modelling framework. Both approaches can be integrated into the dynamic model framework. The proposed framework is examined using industrial data obtained from a steel plant, where it provides a decent model for this process. However, there exists the potential for improvements including dealing with interbatch variability. © 2015, IF AC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Strip mills Benchmarking Least squares approximations Steelmaking Strip metal Waste disposal Hot strip mills Industrial datum Key performance indicators Model framework Modelling framework Multibatch Partial least square (PLS) Partial least squares models

来源：评论

学校读者我要写书评

暂无评论

Optimal control of quantum systems with SU(1,1)dynamical symmetry

引用

control Theory and Technology 2015年第3期13卷 211-220页

作者： Wenbin DONG Rebing WU Jianwu WU Chunwen LI Tzyh-Jong TARN Department of Automation Tsinghua University Center for Quantum Information Science and Technology Tsinghua National Laboratory for Information Science and Technology(TNlist) Beijing Aerospace Automatic Control Institute Electrical and Systems Engineering Department Washington University in St.Louis

SU（1,1） dynamical symmetry is of fundamental importance in analyzing unbounded quantum systems in theoretical and applied physics. In this paper, we study the control of generalized coherent states associated with quantum systems with SU（1,1） dynamical symmetry. Based on a pseudo Riemannian metric on the SU（1,1） group, we obtain necessary conditions for minimizing the field fluence of controls that steer the system to the desired final state. Further analyses show that the candidate optimal control solutions can be classified into normal and abnormal extremals. The abnormal extremals can only be constant functions when the control Hamiltonian is non-parabolic, while the normal extremals can be expressed by Weierstrass elliptic functions according to the parabolicity of the control Hamiltonian. As a special case, the optimal control solution that maximally squeezes a generalized coherent state is a sinusoidal field, which is consistent with what is used in the laboratory.

关键词： Quantum control optimal control dynamical symmetry

来源：评论

学校读者我要写书评

暂无评论

Explicit adaptive synchronization of multi-agent uncertain systems with heterogeneous dynamic networks

Explicit adaptive synchronization of multi-agent uncertain s...

引用

American control Conference (ACC)

作者： Bohui Wang Yingguan Wang Bin Zhang Fengrong Li Jingcheng Wang Hai Lin Xiaocheng Li Department of Automation Key Laboratory of System Control and Information Processing Shanghai China Key Laboratory of Wireless Sensor Network & Communication Chinese Academy of Sciences Shanghai China Department of Electrical Engineering University of South Carolina Columbia SC USA

ISBN: (纸本)9781467386838

This paper proposes an explicit adaptive algorithm to solve the problem of heterogeneous dynamic synchronization of multi-agent uncertain systems. Different from the existing works, the proposed algorithm depends on less control parameters and achieves zero synchronization error between the agents of heterogeneous uncertain dynamic networks and virtual target. By introducing appropriate assumptions, a class of explicit adaptive synchronization protocols is designed based on a combination of the virtual target's states, distributed feedback gain, and the limited neighboring agents' information. By using Lyapunov function approach, it is proved that the explicit adaptive synchronization problem of closed-loop multi-agent uncertain systems with heterogeneous dynamic networks can be solved, if the control parameters of the explicit adaptive synchronization algorithm are suitably selected. Finally, an example is given to demonstrate the proposed theory.

关键词： Synchronization Heuristic algorithms Uncertain systems Adaptive systems Protocols Eigenvalues and eigenfunctions Laplace equations

来源：评论

学校读者我要写书评

暂无评论

Mathematical modeling and decision-making on controlling modes of technological objects in the fuzzy environment

Mathematical modeling and decision-making on controlling mod...

引用

World Congress on Intelligent control and automation (WCICA)

作者： Y. A. Ospanov B. B. Orazbayev K. N. Orazbayeva N. S. Mukataev A. I. Demyanenko Department of System Analysis and Control L.N. Gumilyov Eurasian National University Astana Kazakhstan Department of Management Kazakh University of Economics Astana Kazakhstan Department of Automation and Electrical Engineering Shakarim State University of Semey Semey Kazakhstan

ISBN: (纸本)9781467384155

This paper proposes methods for the development of mathematical models and for the control of operation modes of technological objects in oil refinery in face of uncertainty based on fuzzy information. The mathematical formulation of the problem of decision-making on controlling modes, which are solved on the basis of mathematical modeling, is formalized and obtained. By using the example of the problem of decision-making on optimal operation modes of technological complex for the benzene production and based on the methods of fuzzy mathematics an algorithm of its solution is developed. The initial problem is formalized as a problem of decision-making in the fuzzy environment, since the investigated object is characterized by multicriteriality and frequently functions in a fuzzy environment. The mathematical formulation of the problem of object's mode selection in the fuzzy environment and the heuristic algorithm of its solution is obtained by modifying various optimality principles based on methods of the fuzzy sets theory.

关键词： Mathematical model Decision making Production Fuzzy sets Data models Pragmatics Numerical models

来源：评论

学校读者我要写书评

暂无评论

Vision-based Permanent Magnet Spherical Motor Orientation Detection and Adaptive PD control System

Vision-based Permanent Magnet Spherical Motor Orientation De...

引用

International Conference on electrical Machines and Systems

作者： Zhe Qian Guoli Li Qunjing Wang Xinwen Guo Lufeng Ju School of Electrical Engineering and Automation Anhui University China National Engineering Laboratory of Energy-Saving Motor & Control Technology Anhui University China

ISBN: (纸本)9781467388634

The rotor orientation detection of permanent magnet spherical motor (PMSM) is crucial to the closedloop control. The paper presents vision-based method to measure the rotor orientation of PMSM. The pattern code generation, deriving method and pattern processing algorithm are introduced. The simulation in OpenGL is carried out. Combined with complete nonlinear dynamic model and adaptive PD controller, the control strategy is simulated. The results of the study provide reference for homogeneous motor's research.

关键词： permanent magnet spherical motor orientation adaptive PD control system

来源：评论

学校读者我要写书评

暂无评论

Adaptive partitioning PCA model for improving fault detection and isolation

引用

Chinese Journal of Chemical engineering 2015年第6期23卷 981-991页

作者：刘康玲金鑫费正顺梁军 State Key Lab of Industrial Control Technology Institute of Industrial Control Technology Zhejiang University School of Automation and Electrical Engineering Zhejiang University of Science and Technology

In chemical process, a large number of measured and manipulated variables are highly correlated. Principal component analysis(PCA) is widely applied as a dimension reduction technique for capturing strong correlation underlying in the process measurements. However, it is difficult for PCA based fault detection results to be interpreted physically and to provide support for isolation. Some approaches incorporating process knowledge are developed, but the information is always shortage and deficient in practice. Therefore, this work proposes an adaptive partitioning PCA algorithm entirely based on operation data. The process feature space is partitioned into several sub-feature spaces. Constructed sub-block models can not only reflect the local behavior of process change, namely to grasp the intrinsic local information underlying the process changes, but also improve the fault detection and isolation through the combination of local fault detection results and reduction of smearing *** method is demonstrated in TE process, and the results show that the new method is much better in fault detection and isolation compared to conventional PCA method.

关键词： Adaptive partitioning Fault detection Fault isolation Principal component analysis

来源：评论

学校读者我要写书评

暂无评论

Globally stabilizing state feedback control design for Lotka-Volterra systems based on underlying linear dynamics

引用

IFAC-PapersOnLine 2015年第11 11期48卷 1000-1005页

作者： Magyar, Attila Hangos, Katalin M. Department of Electrical Engineering and Information Systems University of Pannonia Egyetem street 10. Veszprém H-8200 Hungary Process Control Research Group Control and Automation Research Institute HAS Kende street 13-17 BudapestH-1111 Hungary

Using translated X-factorable phase space transformations and nonlinear variable transformations a dynamically similar linear ODE model is associated to the Lotka-Volterra system models with a positive equilibrium point. This enables to use a linear full state feedback controller to stabilize the system in controllable cases, that leaves the open loop equilibrium point unchanged. The linear state feedback controller design problem in the general case has also been formulated to ensure the compartmental property of the closed loop system from which the existence of a diagonal Lyapunov function follows. Further extension has been obtained by using the time re-parametrization transformation defined for quasi-polynomial models. © 2015

关键词： Mathematical transformations Biological systems Closed loop systems controllers Feedback control Linear transformations Lyapunov functions Phase space methods Polynomial approximation Predator prey systems State feedback Diagonal Lyapunov functions Linear state feedback Lotka Volterra models Lotka Volterra systems Nonlinear variables Phase space transformation Positive equilibrium Quasi poly nomial

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：