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检索条件"主题词=Computer algorithms"

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An Intelligent System-Centric Control Approach to Power System Stabilization using Linear Adaptive and Optimal DHP Controller

An Intelligent System-Centric Control Approach to Power Syst...

引用

IEEE Power and Energy Society General Meeting

作者： Gerald Swann Sukumar Kamalasadan University of West Florida University of North Carolina

ISBN: (纸本)9781457710001

In this paper, we propose an intelligent approach to power system stabilization using a system-centric controller. This architecture uses a control algorithm based on a supervisory loop concept implemented with a system centric controller combining both a Dual Heuristic Programming (DHP) and Model Reference Adaptive Controller (MRAC) controller. The controller performance is tested on a Single Machine Infinite Bus (SMIB) power network and also on a five generator, eight bus, two area power network. Simulation studies indicate that the proposed controller is capable of improving the stabilization of the generator over the use of MRAC alone while continuously improving its performance through the use of online learning.

关键词： Intelligent Adaptive Control Power System Stabilization Intelligent controllers Intelligent supervisory loop System-centric controller intelligent controller Controllers Intelligent systems computer algorithms e-learning dynamos power systems model reference adaptive control Power grids

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An Algorithm for Stopping a Class of Underactuated Nonlinear Mechanical Robotic Systems

An Algorithm for Stopping a Class of Underactuated Nonlinear...

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Mediterranean Conference on Control & Automation

作者： Jason Nightingale Bill Goodwine Department of Aerospace and Mechanical Engineering and the Department of Mathematics University of Notre Dame Department of Aerospace and Mechanical Engineering University of Notre Dame

ISBN: (纸本)9781479909964

We provide a constructive global discontinuous control law with state dependent switches for a class of under-actuated nonlinear mechanical robotic systems that will drive the system to an arbitrarily small neighborhood of rest from all initial configurations and velocities in arbitrarily small time. Because all physical mobile robotic systems are mechanical in nature, control methodologies which exploit the fact that the system is governed by principles of mechanics which are particularly important for robotic engineers. The philosophy of the approach is that instead of using control algorithms which start with a completely generic dynamical system, we constrain the structure of the system to be one which is a Lagrangian control system. To the extent the structure of the mechanical system can be exploited, stronger control results are possible to obtain, such as the stopping algorithm in this paper. Specifically, for control of general nonlinear systems, there are many unsolved problems for the case when the system is not at an equilibrium, and the results in this paper are an initial contribution to this area. The robot is assumed to be underactuated by one in the configuration space;hence, in the state space it is underactuated by twice the dimension of the configuration space plus two. Our method can easily be extended to construct a global discontinuous control law with state dependent switches that will drive the system to an arbitrarily small neighborhood of any velocity from any initial configuration and velocity in arbitrarily small time.

关键词： configuration space discontinuous control Mechanical state space stopping Mechanical systems computer algorithms Nonlinear systems Switches

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Congestion Window Scaling Method for Inter-protocol Fairness of BBR

Congestion Window Scaling Method for Inter-protocol Fairness...

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Consumer Communications and Networking Conference, CCNC IEEE

作者： Yeong-Jun Song Geon-Hwan Kim You-Ze Cho School of Electronics Enginerring Kyungpook National University Daegu Korea

ISBN: (数字)9781728138930

ISBN: (纸本)9781728138947

Unlike the existing loss-based and delay-based congestion control algorithms, the Bottleneck Bandwidth Round-trip propagation time (BBR) congestion control algorithm determines the amount of sending data to be transferred at a specific time by calculting BDP (Bandwidth Delay Product). However, when BBR competes with loss-based congestion control algorithms, such as Reno and CUBIC, most of the bottleneck bandwidth is occupied by specific flows or excessive packet loss occurs. In previous work, we proposed an improved loss recovery mechanism in order to address above problems. Through the previous proposal, the fairness between BBR and loss-based algorithms was improved if the buffer size was larger than 2 BDP. However, if the buffer size was smaller than 2 BDP, the performance imbalance and continuous packet retransmission still occurred. In this paper, we propose a congestion window upper scaling method that complements the previously proposed loss recovery mechanism. In addition, we conduct an experiment and evalute its enhanced performance in a Mininet emulator.

关键词： computer network performance evaluation delays telecommunication congestion control transport protocols burnt beyond repair telecommunication congestion control transport protocols computer algorithms scaling method PPM1K gene ARID3B gene Beclomethasone delay Packet loss

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Some Results on Design of Second-Order Sliding Mode Controller for Nonlinear Systems

Some Results on Design of Second-Order Sliding Mode Controll...

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IEEE International Symposium on Circuits and Systems

作者： Shihong Ding Wei Xing Zheng School of Electrical and Information Engineering Jiangsu University Zhenjiang Jiangsu 210003 P. R. China School of Computing Engineering and Mathematics University of Western Sydney Penrith NSW 2751 Australia

ISBN: (纸本)9781479983926

In this paper the problem of designing a second-order sliding mode controller for nonlinear systems with bounded uncertainties is addressed. The adding a power integrator technique is applied to develop a new second-order sliding mode control algorithm. It is shown that under the controller thus designed, the resulting closed-loop system can achieve the finite-time Lyapunov stability, which is superior to the similar results in the literature that can only give the finite-time convergence. The performance of the new second-order sliding mode control algorithm is demonstrated by an illustrative example.

关键词： Controllers Sliding mode fuzzy sliding mode controllers Variable structure systems computer algorithms Induction loop systems

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Distributed Parameter e-modification for an Aeroelastic Torsion Model

Distributed Parameter e-modification for an Aeroelastic Tors...

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IEEE Annual Conference on Decision and Control

作者： Abraham K. Ishihara Nhan Nguyen Carnegie Mellon University Silicon Valley NASA Research Park Moffett Field CA 94035 1000 NASA Ames Research Center Moffett Field CA

ISBN: (纸本)9781467360890

In this note we consider the closed-loop control of an aeroelastic torsion model where the control objective is to track a desired shape. A Lyapunov approach is utilized and an adaptive control algorithm using e-modification is proposed. The entire analysis is confined to the underlying infinite dimensional space and uniform ultimate boundedness of the closed-loop system is proved. Numerical simulation is provided to illustrate the performance.

关键词： Aeroelastics uniform ultimate boundedness distributed parameter computer algorithms Closed loop systems numerical simulation CLOSED LOOP CONTROL Note Taking

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Roll Prediction-based Optimal Control for Safe Path Following

Roll Prediction-based Optimal Control for Safe Path Followin...

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American Control Conference

作者： Sanghyun Hong J. Karl Hedrick Department of Mechanical Engineering University of California Berkeley CA 94720 USA

ISBN: (纸本)9781479917730

Autonomous vehicles can risk dangerous rollover if they corner without taking roll motion into consideration. This paper proposes a control algorithm to follow a curved road while simultaneously preventing rollover. Model predictive control is applied to minimize roll motion throughout cornering. The prediction of vehicle state is based on a four-wheel nonlinear vehicle model with roll dynamics and a tire brush model. Full braking is utilized as a control actuator to achieve an optimal balance in the trade-off between vehicle speed and roll motion. CarSim simulations show the performance of the proposed control approach and the influence of vehicle parameters on control performance.

关键词： computer algorithms Road Curves Autonomous Vehicles Vehicle model Vehicle speed control performance corners Rolling motion Optimal control

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A traffic overload control approach to new generation electric communication networks based on IP-RAN

A traffic overload control approach to new generation electr...

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10th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM 2014)

作者： Nan Jiang Fanbo Meng Honghao Zhao Fei Xia Zongze Xia Xiaoxu Yu Zhigang Qi State Grid Huludao Electric Power Supply Company China State Grid Liaoning Electric Power Company Limited Shenyang China State Grid Liaoyang Electric Power Supply Company China Liaoning Planning and Designing Institute of Post and Telecommunication Company Limited Shenyang China

ISBN: (纸本)9781510804166

This paper studies the traffic overload control issue in the new generation electric communication network. We propose an energy-efficient traffic overload control algorithm based on genetic algorithm and hybrid particle swarm optimization. We simultaneously consider the traffic overload control and energy efficiency in the soft-switch server of new generation electric communication networks. Then the rate allocation method is used to construct the control input rate. The energy-efficient traffic overload control model is built. And we use the hybrid particle swarm optimization to solve the model, the initial solution is obtained, and then genetic algorithm is used to handle the initial solution, and obtain the exact optimal solution. Finally, the simulation results show that the proposed algorithm is feasible and effective.

关键词： Application Server Electric Communication Energy Efficiency Network Traffic Overload Control Energy efficiency traffic network Particle swarm optimization application servers networks(communications) telecommunication traffic Genetic Algorithm (GA) Standing Orders computer algorithms

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Backstepping PWM Control for Maximum Power Tracking in Photovoltaic Array Systems

Backstepping PWM Control for Maximum Power Tracking in Photo...

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American Control Conference

作者： E. Iyasere E. Tatlicioglu D. M. Dawson College of Engineering and Science Clemson University Clemson SC 29631 USA Department of Electrical and Electronics Engineering Izmir Institute of Technology Izmir Turkey

ISBN: (纸本)9781424474264

A power system consisting of a photovoltaic (PV) array panel, dc-to-dc switching converter and a battery is considered in this paper. A backstepping PWM controller is developed to maximize the power of the solar generating system. The controller tracks a desired array voltage, designed online using an incremental conductance extremum-seeking algorithm, by varying the duty cycle of the switching converter. The stability of the control algorithm is demonstrated by means of Lyapunov analysis.

关键词： computer algorithms photovoltaic array Backstepping Maximum power tracking PWM controller switching converters DUTY CYCLE power systems Batteries Incremental conductance

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Short-circuit Fault-tolerant Control of Bearingless Permanent Magnet Slice Machine

Short-circuit Fault-tolerant Control of Bearingless Permanen...

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IEEE Energy Conversion Congress and Exposition

作者： Xiaolin Wang Xinyu Ren Julia Y. Zhang Department of Electrical Engineering Nanjing University of Aeronautics and Astronautics School of Electrical Engineering and Computer Science Oregon State University

ISBN: (纸本)9781479903375

This paper investigates the controllability of a 6-phase single winding bearingless permanent magnet (PM) slice machine drive system under a variety of power electronic short-circuit conditions and the proper control algorithms to accomplish the successful rotor levitation under these short-circuit faults. Analysis shows that the bearingless PM slice machine drive system is only controllable under the following short-circuit fault conditions: 1) short circuit in one single phase winding, 2) short circuit in two adjacent phase windings, and 3) short circuit in two opposite phase windings. Experiments are performed for the above three short-circuit fault conditions to verify the proposed control algorithms.

关键词： Short circuits computer algorithms Circuit faults single phase slicing machine controllability fault-tolerant control MAGNETS drive train windings winding (process)

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Effects of Different PHEV Control Strategies on Vehicle Performance

Effects of Different PHEV Control Strategies on Vehicle Perf...

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2009 American Control Conference (ACC 2009)

作者： P. Tulpule V. Marano G. Rizzoni Pinak Tulpule The Ohio State University Columbus Ohio Center for Automotive Research The Ohio State University

ISBN: (纸本)9781424445233

Foreign oil dependence, increased cost of fuel, pollution, global warming are buzz words of today's era. Automobiles have a large impact on increasing energy demand, pollution and related issues. As a consequence, many efforts are being concentrated on innovative systems for transportation that could replace petroleum with cleaner fuel, i.e. electricity from the power grid. The use of plug-in hybrid electric vehicles (PHEVs) can become a very important change in this direction, since such vehicles could benefit from the increasing availability of renewable energy. PHEVs requires new control and energy management algorithms, that are crucial for vehicle performance. This paper deals with evaluation of two modes, Electric Vehicle (EV) mode and Blended mode, for plug-in hybrid electric vehicles and their comparison with conventional and hybrid electric vehicle performance. In this paper two PHEV architectures are considered: through road parallel plug-in hybrid and series plug-in hybrid. Similar models have been developed to evaluate vehicle performance for conventional and hybrid architectures. Both PHEV architectures are analyzed with two different modes- EV and Blended;a modified version of ECMS (Equivalent Consumption Minimization Strategy) is used for both algorithms. Various standard as well as custom designed driving cycles are used in this analysis. The paper provides quantitative analysis of the control algorithms to analyze their effects on fuel economy, use of electric energy, cost of operation, etc.;these results are compared with the simulations for hybrid and conventional vehicles. Some important relationships between fuel economy, design architectures and control strategies are shown and can be useful in the design of the optimal control algorithms for PHEVs. As shown in the results, the control problem for PHEVs is not limited to fuel economy but it also involves external factors, such as price of electricity, energy market and regulations, charging ava

关键词： Vehicle performance computer algorithms Fuel economy Hybrid electric vehicles HYBRID Clean fuels Electric vehicles Energy costs ARCHITECTURE vehicle Electricity

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