检索结果-内蒙古大学图书馆

IEEE Conference on Decision and control

作者： G.K. Fourlas K.J. Kyriakopoulos N.J. Krikelis Department of Informatics and Computer Technology Technological Educational Institute (TEI) of Lamia Lamia Greece Control Systems Laboratory Mechanical Engineering Department National and Technical University of Athens Athens Greece

ISBN: (纸本)0780386825

Fault detection and isolation is a challenging task in the control of large scale complex systems. In this work we proceed to the fault diagnosis of an electric power transmission system based on a fault diagnosis of hybrid systems method presented in our previous work. Power systems often exhibit complex behavior in response to large disturbances. Such behavior is characterized by interactions between continuous dynamics and discrete events. Components such as loads drive the continuous dynamics, while other components such as protection devices exhibit event-driven discrete dynamics. Therefore, power systems constitute an important case of hybrid systems for fault detection.

关键词： Power transmission Power system dynamics Hybrid power systems Power system protection Electrical fault detection Fault diagnosis Power system faults control systems Large-scale systems Drives

来源：评论

学校读者我要写书评

暂无评论

Low order sampled data H/sub /spl infin// control using the delta operator and LMIs

Low order sampled data H/sub /spl infin// control using the ...

引用

IEEE Conference on Decision and control

作者： B. Lennartson R. Middleton A.-K. Christiansson T. McKelvey Control and Automation Laboratory Department of Signals and Systems Chalmers University of Technology Goteborg Sweden Complex Dynamic Systems & Control School of Electrical Engineering & Computer Science University of Newcastle Callaghan NSW Australia University of Trollhättan/Uddevalla Trollhattan Sweden Department of Signals and Systems Chalmers University of Technology Goteborg Sweden

A procedure for H/sub /spl infin// optimization of low order controllers for discrete-time and sampled-data systems is presented in this paper. Generally, low order H/sub /spl infin// controllers may be achieved by solving bilinear matrix inequalities (BMIs). In this paper an iterative alternation between two LMIs gives a suboptimal solution. To avoid local minima in this search the initial controller is obtained by a frequency weighted controller reduction scheme, where the closed loop properties of a full order controller is taken into account. A minimal number of parameters in the state space realization of the controller also reduces the complexity and improves numerical robustness. The complete presentation is based on delta operator models, which shows a close relationship between the continuous- and discrete-time solutions. The sensitivity of the ordinary discrete-time shift operator LMI formulation to small sampling periods is also analyzed.

关键词： control systems Linear matrix inequalities Sampling methods Automatic control Frequency Weight control Robust control Signal processing State-space methods Robustness

来源：评论

学校读者我要写书评

暂无评论

Soft time-suboptimal controlling structure for mechanical systems

Soft time-suboptimal controlling structure for mechanical sy...

引用

International Workshop on Robot Motion and control (RoMoCo)

作者： P. Kulczycki R. Wisniewski P. Kowalski K. Krawiec Polish Academy of Sciences Systems Research Institute Warsaw Poland Department of Control Engineering Aalborg University Aalborg Denmark Faculty of Electrical and Computer Engineering Cracow Univ. of Technology Cracow Poland

The paper presents the conception of a soft control structure based on the time-optimal approach. Its parameters are selected in accordance with the rules of the statistical decision theory and additionally it allows the elimination of rapid changes in control values. The object is a basic mechanical system, with uncertain (also non-stationary) mass treated as a stochastic process. The methodology proposed here is of a universal nature and may easily be applied with respect to other uncertainty elements of time-optimal controlled mechanical systems.

关键词： control systems Mechanical systems Stochastic processes Optimal control Force control Motion control Torque control Weight control Velocity control control engineering

来源：评论

学校读者我要写书评

暂无评论

Distributed, master-less control of modular DC-DC converters

Distributed, master-less control of modular DC-DC converters

引用

Collection of Technical Papers - 2nd International Energy Conversion engineering Conference

作者： Gray, Michael S. Gao, Zhiqiang Button, Robert M. Cleveland State University Cleveland OH 44115 United States NASA Glenn Research Center Cleveland OH United States Department of Electrical and Computer Engineering United States Center for Advanced Control Technologies United States Electrical Systems Research Branch M.S 333-2 21000 Brookpark Rd. United States

ISBN: (纸本)1563477157

A distributed control system (DCS) is developed and hardware verified for a class of digitally controlled modular DC-DC converters. The converters are each independently controlled by its own FPGA-based digital controller. A control Area Network (CAN) is first set up for the converters to communicate in a master-less peer-to-peer manner. An algorithm is developed to make the converters share the load (current) dynamically in a predetermined manner. More importantly, it makes it possible to for all converters to automatically time-shift their PWM gating signals to minimize the current ripple, which is known as interleaving. An algorithm is developed for this distributed master-less control of power converter system so that the load sharing and interleaving are adjusted autonomously, in real time, as the number of converters changes without prior knowledge. Copyright © 2004 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

关键词： DC motors

来源：评论

学校读者我要写书评

暂无评论

Certainty equivalence in constrained linear systems subject to stochastic disturbances

Certainty equivalence in constrained linear systems subject ...

引用

American control Conference (ACC)

作者： I. Batina A.A. Stoorvogel S. Weiland Department of Electrical Engineering Mathematics and Computer Delft University of Technnology Delft Netherlands Department of Mathematics and Computing Science Eindhovan University of Technology Eindhoven Netherlands Control Systems Group Department of Electronical Engineering Eindhovan University of Technology Eindhoven Netherlands

A sufficient condition is provided under which the optimal controller of a constrained optimization problem can be synthesized by combining an optimal state estimator with an optimal static state feedback. An application of a model predictive controller is considered that involves both input and state constraints in a system that is subject to stochastic disturbances.

关键词： Linear systems Stochastic systems State feedback State estimation control systems Optimal control Constraint optimization Q measurement Noise measurement Stochastic processes

来源：评论

学校读者我要写书评

暂无评论

Robustness of dual-rate inferential MPC systems

Robustness of dual-rate inferential MPC systems

引用

American control Conference (ACC)

作者： J.A. Rossiter J. Sheng T. Chen S.L. Shah Department of Automatic Control & Systems Engineering Sheffield University Sheffield UK Coordinated Science Laboratory University of Illinois Urbana USA Department of Electrical & Computer Engineering University of Alberta Edmonton AB Canada Department of Chemical & Materials Engineering University of Alberta Edmonton AB Canada

This paper investigates the robustness of dual-rate MPC systems with a proposed inferential control strategy. It shows that for some scenarios where a high-frequency model plant mismatch is presented, such dual-rate i... 详细信息

关键词： Robustness Robust stability Predictive models Robust control control systems Predictive control Strontium control system analysis Integrated circuit modeling Time varying systems

来源：评论

学校读者我要写书评

暂无评论

SELF-POWERED WIRELESS TEMPERATURE SENSING USING MEMS-BASED AA-SIZE ENERGY TRANSDUCER

引用

International Journal of Information Acquisition 2004年第2期1卷 121-128页

作者： JOHNNY M. H. LEE STEVE C. L. YUEN MIMI H. M. LUK GORDON M. H. CHAN KING FONG LEI WEN J. LI PHILIP H. W. LEONG YEUNG YAM Centre for Micro and Nano Systems The Chinese University of Hong Kong Hong Kong SAR China Department of Computer Science and Engineering The Chinese University of Hong Kong Hong Kong SAR China Intelligent Control Systems Laboratory The Chinese University of Hong Kong Hong Kong SAR China

This paper presents the design and experimental results of a Micro Power Generator (MPG) which harvests mechanical energy from its environment and converts this energy into useful electrical power. The energy transduction component is mainly a magnet and a resonating spring made using SU-8 molding and MEMS electroplating technologies. We have shown that when the MPG is packaged into an AA battery size container along with a power-management circuit that consists of rectifiers and a capacitor, it is capable of producing ~1.6 V DC when charged for less than 1 min. Our goal is to realize a MPG to function with low input mechanical frequencies while producing enough power for low-power wireless applications.

关键词： Micro power generator micro energy transducer high-aspect-ratio MEMS SU-8 processing

来源：评论

学校读者我要写书评

暂无评论

Transient stability improvement in power systems via firing angle control of TCSC using context based emotional controller

Transient stability improvement in power systems via firing ...

引用

Proceedings of the Biannual World Automation Congress

作者： C. Lucas F. Rashidi J. Abdi School of Intelligent Systems Institute of Studies in Theoretical Physics and Mathematics Tehran Iran Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran

This paper proposes a Context Based Emotional controller (CBEC) to Thyrislor controlled Series Capacitor (TCSC), which might have a significant impact on power system dynamics. The role of a CBEC is to control a firing angle of the TCSC. In this case, the CBEC is used for damping the low frequency oscillations caused by disturbances such 3s a sudden change of small or large loads or an outage in the generators or transmission lines. To evaluate the usefulness of the proposed method, we compare the response of CBEC with fumy PI) controller. The simulation results show that our method has the better control performance than fuzzy PD controller.

关键词： Power system transients Power system stability control systems Power system control Power systems Power capacitors Thyristors Frequency Power system dynamics Optimal control

来源：评论

学校读者我要写书评

暂无评论

Discrete-time Arimoto ILC-algorithm revisited

引用

IFAC Proceedings Volumes 2004年第12期37卷 541-546页

作者： J. Hätönen T.J. Harte D.H. Owens J. Ratcliffe P. Lewin E. Rogers Department of Automatic Control and Systems Engineering University of Sheffield Mappin Street Sheffield S1 3JD United Kingdom Department of Electronics and Computer Science University of Southampton Southampton SO17 1BJ United Kingdom

This paper revisits the Arimoto-algorithm in the discrete-time case. It is shown that if a plant satisfies a positivity condition, there always exists a learning gain so that the algorithm converges monotonically to zero tracking error. If the plant does not satisfy the positivity condition, a linear LQ tracker can be used to condition the plant so that it satisfies the positivity condition. The overall structure results in a novel combination of Arimoto ILC and LQ optimal control, that drives the tracking error monotonically to zero for an arbitrary discrete-time LTI plant. This is a very strong property for any ILC algorithm.

关键词： Iterative learning control positive-real systems

来源：评论

学校读者我要写书评

暂无评论

Iterative Learning control - What is it all about?

引用

IFAC Proceedings Volumes 2004年第12期37卷 547-553页

The main objective of this paper is to show how one can benefit from using Iterative Learning control instead of conventional feedback control. As a main result it is shown that even if the nominal plant satisfies a given uncertainty condition, there always exists ILC algorithms that can drive the tracking error monotonically to zero. This same result cannot be achieved with conventional feedback control, or by inverting a nominal model of the plant. Hence ILC offers an unique tool to invert dynamical systems with uncertainty.

关键词： Iterative learning control robust control positive-real systems

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：