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A novel low chattering sliding mode controller

A novel low chattering sliding mode controller

引用

Asian control Conference

作者： M.R. Rafimanzelat M.J. Yazdanpanah Control & Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Iran

The purpose of this paper is to design a high performance sliding mode controller through the use of a new switching function. This method uses the idea of boundary layer sliding mode while taking the boundary layer width as a function of the angle between the state trajectory and the sliding surface which we call approach angle. By incorporating the approach angle into the switching function, the overall sliding mode controller guarantees the asymptotical stability of the system while having only a slight amount of chattering. This method overcomes the shortcomings of a pure discontinuous switching such as excessive chattering, while maintaining its benefit that is the asymptotical stability is guaranteed. The proposed method is used to control an inverted pendulum. It is also compared with a pure switching function. Simulation results show that the new sliding mode controller has good control performance with negligible chattering.

关键词： Sliding mode control Asymptotic stability control systems Closed loop systems Robust control Linear approximation Piecewise linear approximation Robustness Intelligent control control system synthesis

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Sensorless speed control of induction motor derives using a robust and adaptive neuro-fuzzy based intelligent controller

Sensorless speed control of induction motor derives using a ...

引用

IEEE International Conference on Industrial Technology (ICIT)

作者： F. Rashidi Center of Excellence for Control and Intelligent Processing Department of Electrical and Computer Engineering University of Tehran Iran

In this paper a novel sensorless adaptive neurofuzzy speed controller for induction motor derives is formulated. An artificial neural network (ANN) is adopted to estimate the motor speed and thus provide a sensorless speed estimator system. The performance of the proposed adaptive neurofuzzy speed controller is evaluated for a wide range of operating conditions for induction motor. These include startup, step changes in reference speed, unknown load torque and parameters variations. Obtained results show that the proposed ANN provides a very satisfactory speed estimation under the above mentioned operation conditions and also the sensorless adaptive neurofuzzy speed controller can achieve very robust and satisfactory performance and could be used to get the desired performance levels. The response time is also very fast despite the fact that the control strategy is based on bounded rationality.

关键词： Velocity control Induction motors Robust control Programmable control Adaptive control Intelligent sensors Sensorless control Artificial neural networks Artificial intelligence Torque

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Multispectral Landsat image classification using a data clustering algorithm

Multispectral Landsat image classification using a data clus...

引用

International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Yan Wang Mo Jamshidi P. Neville C. Bales S. Morain Department of Electrical and Computer Engineering and Autonomous Control Engineering (ACE) Center University of New Mexico Albuquerque NM USA The Earth Data Analysis Center (EDAC) University of New Mexico Albuquerque NM USA

This work presents a new application of a data-clustering algorithm in Landsat image classification, which improves on conventional classification methods. Neural networks have been widely used in Landsat image classification because they are unbiased by data distribution. However, they need long training times for the network to get satisfactory classification accuracy. The data-clustering algorithm is based on fuzzy inferences using radial basis functions and clustering in input space. It only passes training data once so it has a short training tune. It can also generate fuzzy classification, which is appropriate in the case of mixed, intermediate or complex cover pattern pixels. This algorithm is applied in the land cover classification of Landsat 7 ETM+ over the Rio Rancho area, New Mexico. It is compared with back-propagation neural network (BPNN) to illustrate its effectiveness and concluded that it can get a better classification using shorter training time.

关键词： Satellites Remote sensing Image classification Neural networks Clustering algorithms Humans Content addressable storage Gaussian distribution Self organizing feature maps Indexing

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Power system transient stabilization and voltage regulation based on simple neuron structure

Power system transient stabilization and voltage regulation ...

引用

International Conference on Mechatronics (ICM)

作者： R. Mohammadi-Milasi P. Jabehdar-Maralani Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Iran

A global power system transient stabilizer and voltage regulator based on a simple neuron structure is proposed in this paper. Two independent controllers i.e. transient controller and voltage regulator are designed. To this end, a simple structure controller that consists of only one neuron is used. The proposed neuro-controller does not need any offline training and the parameters can be determined on-line. To achieve the global control action that guarantees both transient stability and voltage regulation, we used a membership function that was a function of measurable parameters of the system. The proposed global control law acts in a manner in which in the transient period, the transient stabilizer is the dominant controller and in the post transient period, the voltage controller is the dominant one. The effectiveness of the proposed global control action is demonstrated through some computer simulations on a single machine infinite-bus (SMIB) power system.

关键词： Power system transients Voltage control Neurons Regulators control systems Stability computer simulation Power system simulation Power system control Power systems

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Strategies for and analytical solutions to near-optimal formation control of nonholonomic mobile vehicles

Strategies for and analytical solutions to near-optimal form...

引用

Collection of Technical Papers - AIAA Guidance, Navigation, and control Conference

作者： Qu, Zhihua Wang, Jing Plaisted, Clinton E. Electrical and Computer Engineering Department University of Central Florida Orlando FL 32816 United States A.I. Solutions Inc. NASA ELV Mission Analysis Branch Kennedy Space Center FL 32899 United States

ISBN: (纸本)1563476703

The formation control of a group of mobile vehicles has been an active research topic. In this paper, new near-optimal formation controls are proposed for the tracking control of multi mobile vehicles while maintaining a required formation. The coordination in the presence of environment change is possible due to the utilization of the proposed formation control strategies. Design of the proposed controls starts with the chained form systems and explicitly takes the nonholonomic constraints into account. The proposed controls are near optimal in the sense that the distance to optimal control is minimized as much as possible in closed form. The controls are real-time implementable, globally and exponentially stabilizing. Copyright © 2004 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

关键词： Unmanned vehicles

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A new approach to commutation in predictive control of switch reluctance motor

A new approach to commutation in predictive control of switc...

引用

IEEE International Conference on Industrial Technology (ICIT)

作者： A. Sadeghzadeh B.N. Araabi Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran

This paper provides a model predictive approach to control switched reluctance motors (SRM's). A local linear neuro-fuzzy model is used to model SRM. Then a predictive control schema is devised considering an appropriate energy term in the optimization phase. Commutation occurs naturally as an outcome of the predictive control design process, not as an extra step added to the control policy. From a computational view point, we use locally linear model predictive control that with a quadratic cost and linear constraints reduces to a simple quadratic program, which can be solved very fast in a closed form. Simulation studies justify applicability of our proposed method to SRM applications.

关键词： Switches Commutation Predictive control Reluctance motors Predictive models Reluctance machines Magnetic materials Photonic crystals Costs Strontium

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Robust H/sub /spl infin// congestion control in differentiated services networks

Robust H/sub /spl infin// congestion control in differentiat...

引用

International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA

作者： M. Jalili-Kharaajoo Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran

A robust active queue management system is designed to secure high utilization, bounded delay and loss, while the network complies with the demands each traffic class sets. To this end, we use the H/sub /spl infin// control theory. Simulation results of the proposed control action demonstrate the effectiveness of the controller in providing robust queue management system.

关键词： Robust control Intelligent networks Diffserv networks Internet TCPIP Communication system traffic control Traffic control Protocols IP networks Streaming media

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An experimental study of subsonic cavity flow - physical understanding and control

An experimental study of subsonic cavity flow - physical und...

引用

2nd AIAA Flow control Conference 2004

作者： Debiasi, M. Yan, P. Little, J. Özbay, H. Myatt, J. Samimy, M. Gas Dynamics and Turbulence Laboratory Collaborative Center of Control Science The Ohio State University GDTL/AARL2300 West Case Road Columbus OH 43235 United States Department of Mechanical Engineering United States Department of Electrical and Computer Engineering United States Air Force Research Laboratory United States

ISBN: (纸本)9781624100307

We present the results of an experimental investigation that uses two different techniques for controlling a shallow cavity flow in the Mach number range 0.25-0.5. The first method is basically an open-loop design that relies on zero-net-mass forcing at an optimal frequency for suppressing the cavity flow resonance. The second method is a parallel-proportional with time delay controller, a linear control design that relies on real-time feedback from the flow to counteract the resonance. With properly tuned parameters, both methods are successful in reducing the cavity resonance for flows in the Mach number range explored. However the parallel-proportional controller exhibits a superior robustness with respect to departure of the Mach number from the design conditions, a signature of feedback control designs that are naturally more capable to handle changes of the open-loop plant. An additional benefit of the feedback control method is the lower power requirement to achieve comparable suppression of the resonance. An interpretation is presented of the physical mechanisms by which the optimal forcing frequency and the parallel-proportional with time delay controller reduce the cavity flow resonance. The results support the idea that the optimal forcing frequency control induces in the system a rapid switching between modes competing for the available energy that can be extracted from the mean flow. In the case of parallel- proportional control mode switching is also observed which involves a larger range of frequencies and spreads more the extracted energy thus producing a flow with a quieter, more broadband spectral signature.

关键词： Mach number

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Path-following for a class of nonlinear systems with unstable zero dynamics

Path-following for a class of nonlinear systems with unstabl...

引用

IEEE Conference on Decision and control

作者： D.B. Dacic M.V. Subbotin P.V. Kokotovic Center for Control Engineering and Computation Electrical and Computer Engineering Department University of California슠Santa Barbara Santa Barbara CA USA

In the practical path-following problem formulated in this paper, it is required that the error between the system output and the desired geometric path be less then any prespecified constant. If in a nonlinear MIMO system the output derivatives do not enter the zero dynamics, a geometric condition on the path is given under which a solution to this problem exists. The solution is obtained by combining input-to-state stability and switched-system methodology.

关键词： Nonlinear systems Nonlinear dynamical systems Output feedback Optical character recognition software Sufficient conditions MIMO Stability Humans Linear systems Vectors

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Protein metal binding residue prediction based on neural networks

引用

11th International Conference on Neural Information Processing, ICONIP 2004

作者： Lin, Chin-Teng Lin, Ken-Li Yang, Chih-Hsien Chung, I-Fang Huang, Chuen-Der Yang, Yuh-Shyong Department of Electrical and Control Engineering Chiao-Tung University HsinChu Taiwan Computer Center Chung-Hua University HsinChu Taiwan Inst. of Medical Science University of Tokyo Tokyo Japan Department of Electrical Engineering HsiuPing Institute of Technology Dali Taichung Taiwan Inst. of Bioinformatics Chiao-Tung University HsinChu Taiwan

ISBN: (纸本)3540239316

It is known that over one-third of protein structures contain metal ions, and they are the necessary elements in life system. Traditionally, structural biologists used to investigate properties of metalloproteins (proteins which bind with metal ions) by physical means and interpret the function formation and reaction mechanism of enzyme by their structures and observation from experiments in vitro. Most of proteins have primary structures (amino acid sequence information) only;however, the 3-dimension structures are not always available. In this paper, a direct analysis method is proposed to predict protein metalbinding amino acid residues only from its sequence information by neural network with sliding window-based feature extraction and biological feature encoding techniques and it can successfully detect 15 binding elements in protein, and 6 binding elements in enzyme. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Metal ions

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