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检索条件"主题词=Computer Algorithms"

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Intelligent Mechanical Sensorless MPPT Control for Wind Energy Systems

Intelligent Mechanical Sensorless MPPT Control for Wind Ener...

引用

IEEE Power and Energy Society General Meeting

作者： Wei Qiao Department of Electrical Engineering University of Nebraska-Lincoln Lincoln NE 68588-0511 USA

ISBN: (纸本)9781467327275

Wind energy systems (WESs) are usually equipped with mechanical sensors to measure wind speed, rotor shaft speed, and generator rotor position/speed for system monitoring, control, and protection. The use of these sensors increases cost, size, weight, and hardware wiring complexity and reduces reliability of WESs. The problems incurred in using mechanical sensors can be solved through mechanical sensorless control. This paper presents the principles of mechanical sensorless maximum power point tracking (MPPT) control for WESs based on an overview of existing work on the subject. Several intelligent mechanical sensorless control algorithms for WESs are presented, including: 1) a hill-climb search (HCS)-based wind speed sensor-less MPPT control algorithm, 2) various artificial neural network (ANN)-based wind speed sensorless MPPT control algorithms, and 3) an ANN-sliding mode observer (SMO)-based wind speed, generator rotor position and shaft speed sensorless MPPT control algorithm. The effectiveness of these intelligent mechanical sensorless MPPT control algorithms are demonstrated by computer simulations as well as experiments on practical WESs.

关键词： Index Terms-Artificial neural network (ANN) intelligent control maximum power point tracking (MPPT) sensorless control wind energy system (WES). maximum power point trackers Mechanical sensors Sensors computer algorithms wind power system wind speed Mechanical shaft speed Wind energy

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Fault tolerant control for non-Gaussian stochastic systems using RBF neural networks approximation model

Fault tolerant control for non-Gaussian stochastic systems u...

引用

UKACC International Conference on Control 2010

作者： Z. Skaf A. H. Al-Bayati H. Wang Control Systems Center University of Manchester Manchester UK

ISBN: (纸本)9781627481199

In this paper, a new fault tolerant controller (FTC) algorithm for general stochastic nonlinear systems is studied. Different from the existing FTC methods, the measured information is the probability density functions (PDFs) of the system output rather than its value, where the radial basis functions (RBFs) neural network technique is proposed so that the output PDFs can be formulated in terms of the dynamic weighings, so that the problem is transformed into a nonlinear FTC problem subject to the weight dynamical systems. The main objective of FTC requires detecting the occurrence of faults and maintaining the performance of the system in the presence of faults at a satisfying level. The FTC design consists of two steps. The first step is fault detection and diagnosis (FDD), which can produce an alarm when there is a fault in the system and also locate which component has a fault. The second step is to adapt the controller to the faulty case so that the system is able to achieve its target. A linear matrix inequality (LMI) based feasible FTC method is applied such that the fault can be detected and diagnosed. An illustrated example is included to demonstrate the use of control algorithm, and satisfactory results have been obtained.

关键词： Probability density functions Nonlinear stochastic systems Fault tolerant control Coviracil faults fault-tolerant control output(systems) Neural network Controllers computer algorithms stochastic systems Alarm

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Phase-Staggered Multiple ZVS Inverters For Grid-Connected PV Systems

Phase-Staggered Multiple ZVS Inverters For Grid-Connected PV...

引用

IEEE Energy Conversion Congress and Exposition

作者： Vidisha Gupta S. Ali Khajehoddin Praveen Jain Electrical and Computer Engineering Queen's University Kingston Canada Electrical and Computer Engineering University of Alberta Edmonton Canada

ISBN: (纸本)9781479903375

Power switches in many DC/AC inverter designs are hard switched, which generates EMI noise and losses in the inverter. A relatively low switching frequency may be used to increase the inverter efficiency;however, this imposes a compromise in the size of the inverter components. In this paper, switching losses have been minimized by incorporating Zero Voltage Switching (ZVS) in a full-bridge topology, at switch turn-on and an adaptive Variable Dead-time Control at switch turn-off. Since the soft switching technique is based on control algorithms, there is no additional cost and size involved with the use of any extra auxiliary circuits. Further, the size of the output filter is reduced without increasing the switching frequency, by connecting multiple grid-tied inverters in parallel. This interleaving technique also improves the quality of the current fed into the utility grid. The proposed method was implemented on a 250W micro-inverter prototype to validate the superior performance of the proposed concept and to compare the experimental results with those of the existing methods of soft switching.

关键词： Inventors output filter electro magnetic interference noise soft switching Softswitch Switching frequency computer algorithms

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Stochastic Model Predictive Control with Driver Behavior Learning for Improved Powertrain Control

Stochastic Model Predictive Control with Driver Behavior Lea...

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2010 49th IEEE Conference on Decision and Control

作者： M. Bichi G. Ripaccioli S. Di Cairano D. Bernardini A. Bemporad I.V. Kolmanovsky Dept. Information Engineering University of Siena Italy Powertrain Control R&A Ford Research and Adv. Engineering Dept. Mechanical and Structural Engineering University of Trento Italy Dept. Aerospace Engineering the University of Michigan Ann Arbor MI

ISBN: (纸本)9781424477456

In this paper we advocate the use of stochastic model predictive control (SMPC) for improving the performance of powertrain control algorithms, by optimally controlling the complex system composed of driver and vehicle. While the powertrain is modeled as the deterministic component of the dynamics, the driver behavior is represented as a stochastic system which affects the vehicle dynamics. Since stochastic MPC is based on online numerical optimization, the driver model can be learned online, hence allowing the control algorithm to adapt to different drivers and drivers' behaviors. The proposed technique is evaluated in two applications: adaptive cruise control, where the driver behavioral model is used to predict the leading vehicle dynamics, and series hybrid electric vehicle (SHEV) energy management, where the driver model is used to predict the future power requests.

关键词： Vehicle dynamics Driver Behavior computer algorithms series hybrid power Predictive control Stochastic models Complex systems vehicle

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Gait-controlled Mobility-aid Robot: Treadmill Motor Current Based Anteroposterior Force Estimation Using Frictional Model Reflects Characteristics of Ground Reaction Force

Gait-controlled Mobility-aid Robot: Treadmill Motor Current ...

引用

IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics

作者： Yasutaka Nakashima Takeshi Ando Yo Kobayashi Masakatsu G. Fujie Graduate School of Advanced Science and Engineering Waseda University Dept. of Robotics & Design for Innovative Healthcare (Panasonic) Graduate School of Medicine Osaka University Faculty of Science and Engineering Waseda University

ISBN: (纸本)9781457711992

We have been developing a new mobility-aid robotic vehicle, "Tread-Walk 2 (TW-2)", which supports walking for the elderly. TW-2 is controlled by the natural walking movement, especially using ground reaction force during gait. In our previous work, we tried to estimate the user's anteroposterior force from the motor current value without a force sensor. But, a user of this vehicle experienced some discomfort both when he started walking and when he stopped walking. This problem is caused by inaccurate estimation of the user's anteroposterior force at the heel contact and the toe off. The estimation of the user's anteroposterior force is greatly related to inaccurate estimation of the vertical component of the ground reaction force, which is approximated by the square waveform in the stance phase. In this paper, we proposed the new approximation that reflects the characteristics of the ground reaction force during the human gait. This paper describes the novel method to approximate the waveforms of the vertical forces as isosceles trapezoidal waves. By comparing the estimated anteroposterior force using the new method with the measured value using the force plate, for two young subjects whose physical characteristics were different, the waveform pattern of the estimated force was found to be similar to that of the measured force. This showed that the proposed method could possibly be useful for accurate estimation of anteroposterior force. The technology to estimate the user's anteroposterior force accurately is a key to construct a control algorithm to improve the operability of TW-2.

关键词： ground reaction force Force walking motor current force plate force sensors Consumers friction force model computer algorithms SQUARE WAVE Locomotion

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An Improved MCVideo System Video Stream Adaptive Control Algorithm

An Improved MCVideo System Video Stream Adaptive Control Alg...

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International Conference on Intelligent Computing, Automation and Systems (ICICAS)

作者： Yongfeng He Jun Wang School of Electronic and Information Engineering Beijing Jiaotong University Beijing China

ISBN: (数字)9781728161068

ISBN: (纸本)9781728161075

When the number of video group call users increases dramatically, existing TEAR algorithm cannot adjust congestion windows in time, causing network congestion, and its congestion window control does not meet the MCVideo system control level requirements. Aiming to solve the uncertainty about the number of users of MCVideo system video group calls, the paper proposes an adaptive MCVideo system video stream congestion window control algorithm. This algorithm uses an additive logarithmic growth factor in the congestion avoidance phase to control the congestion window of the video stream, thereby automatically adjusting the congestion window of the video stream according to the number of users to avoid network congestion. Theoretical analysis and experimental results show that the algorithm has higher throughput and lower packet loss rates than the TEAR algorithm.

关键词： adaptive control telecommunication congestion control video communication video streaming video communications telecommunication congestion control adaptive control Video streaming Video stream Network Congestion computer algorithms congestion avoidance windows windows algorithms Consumers Tearing window

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Control Algorithm for a SSSC

Control Algorithm for a SSSC

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International Conference-Workshop on Compatibility and Power Electronics (CPE)

作者： Pablo Fernandez Francisco D. Freijedo Jesus Doval-Gandoy Jano Malvar Electronics Technology Department University of Vigo

ISBN: (纸本)9781424428557

The power grid in most of the countries is aging and under increasing stress. The modern industrial infrastructure demands increasing amounts of affordable and reliable electricity. Solutions based on Flexible AC Transmission Systems (FACTS) can be used to control power flow on the grid. Shunt VARs compensators provide grid voltage support, while series VARs compensators are required to control active power flow. The Synchronous Static Series Compensator (SSSC) controls the active power flow by altering the impedance of the power lines or changing the angle of the voltage applied across the line. This paper presents a control algorithm for a SSSC which injects a voltage in series with the line in order to control the power flow. The amplitude and angle of the injected voltage is calculated as a function of the compensation rate and in order to control the DC bus voltage of the converter. A predictive synchronization algorithm is used to obtain the phase of the line current.

关键词： Static synchronous series compensator computer algorithms Power flow line current dc bus voltage Power grids Power cables VOLTAGE flexible AC transmission systems COMPENSATORS gate voltage active power

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Modular Robot Based on 3 Rotational DoF Modules

Modular Robot Based on 3 Rotational DoF Modules

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2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, Pages 526-1042

作者： Ariadna Yerpes Jose Baca Juan A. Escalera Manuel Ferre Rafael Aracil Group of Intelligent Machines Universidad Politecnica de Madrid Madrid Spain

ISBN: (纸本)9781424420575

This paper shows the advantages of having a modular system with 3-DoF spherical actuator in the base module to perform tasks that require displacement and object manipulation. Having 3-DoF actuator improves the complexity of coordination patterns and control algorithms of the modular system more relevantly as compared to having only 1 or 2DoF actuator in the module. Nevertheless, modules with actuators of only 1 or 2DoF require more modules to be assembled together in order to achieve complex tasks. Experiments performed with RobMAT modular system proves that a 3DoF actuator in the module is better, because tasks such as displacement, obstacle climbing and object manipulation, can be efficiently carried out with systems of 2 modules, 4 modules and 6 (maximum) modules connected together.

关键词： Modular robots Object Manipulation Modular systems actuators Religious Missions computer algorithms

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UAV Attack and Defense Optimization Guidance Method Based on Target Trajectory Prediction

UAV Attack and Defense Optimization Guidance Method Based on...

引用

IEEE International Symposium on Parallel and Distributed Processing with Applications and IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC)

作者： Guanglei Meng Cheng Zhang Shouye Liu Runnan Zhao Shenyang Aerospace University Shenyang China

ISBN: (纸本)9781728152103

Aiming at the problems of poor adaptability of the UAV during air combat and unreasonable decision-making mode, an optimal air combat decision-making method based on target trajectory prediction is proposed. Firstly, according to the non-empty air combat situation, different performance index functions are set, and then the target trajectory prediction is used to identify the enemy's intentions. According to the real-time situation analysis results, different performance index functions are selected to perform optimal control solution. Compared with other traditional methods, this method adopts the optimal control algorithm, and each maneuver made by the drone is optimal, which greatly improves the combat capability of the drone.

关键词： autonomous aerial vehicles decision making military aircraft optimal control target tracking Optimal control military aircraft drone honey bees Target tracking decision making Unmanned Aerial Vehicle trajectory computer algorithms Fighter performance indicators

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Myopic Control of Systems with Unknown Dynamics

Myopic Control of Systems with Unknown Dynamics

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American Control Conference

作者： Melkior Ornik Steven Carr Arie Israel Ufuk Topcu University of Illinois at Urbana-Champaign University of Texas at Austin Oden Institute for Computational Engineering and Sciences University of Texas at Austin

ISBN: (纸本)9781538679012;9781538679265

This paper introduces a strategy for satisfying basic control objectives for systems whose dynamics are almost entirely unknown. This setting is motivated by a scenario where a system undergoes a critical failure, thus significantly changing its dynamics. In such a case, retaining the ability to satisfy basic control objectives such as reach-avoid is imperative. To deal with significant restrictions on our knowledge of system dynamics, we develop a theory of myopic control. The primary goal of myopic control is to, at any given time, optimize the current direction of the system trajectory, given solely the limited information obtained about the system until that time. Building upon this notion, we propose a control algorithm which simultaneously uses small perturbations in the control effort to learn local system dynamics while moving in the direction which seems to be optimal based on previously obtained knowledge. We show that the algorithm results in a trajectory that is nearly optimal in the myopic sense, i.e., it is moving in a direction that seems to be nearly the best at the given time, and provide formal bounds for suboptimality. We demonstrate the usefulness of the proposed algorithm on a high-fidelity simulation of a damaged Boeing 747 seeking to remain in level flight.

关键词： dynamics System dynamics Level flight control systems computer algorithms Current direction Standing Orders trajectory Optimal Unknown high fidelity algorithms local system

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