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Induction in Optimal control of Multiple-Kite Airborne Wind Energy systems

IFAC-PapersOnLine 2017年第1期50卷 153-158页

作者： Leuthold R. Gros S. Diehl M. Systems Control and Optimization Laboratory Dept. of Microsystems Engineering Dept. of Mathematics University of Freiburg Germany Department of Signals and System Chalmers University Freiburg Institute for Advanced Studies Sweden

Multiple-kite Airborne Wind Energy systems (MAWES) aim to decrease inter-mittency and cost over conventional wind turbines, while generating more power than other airborne wind energy systems. The purpose of this work is to estimate whether axial and angular induction are relevant phenomena in the modelling of pumping-cycle MAWES with two or more kites. Considering the modelling assumptions, axial induction is a relevant phenomenon and leads to significant changes in design-point, especially with respect to kite mass and secondary tether length. However, angular induction can be neglected in modelling for optimal design and control problems. © 2017

关键词： airborne wind energy blade-element momentum method induction model reduction optimum power generation systems design windmills

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Development of Quadcopter for Tracking Object Using Image Processing

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IOP Conference Series: Materials Science and engineering 2019年第1期619卷

作者： Muhammad Ifan Nugraha Ardiansyah Tri Utomo Akhmad Taufik Remigius Tandioga Rafiuddin Syam Center for Mechatronics and Control System Departement of Mechatronics Engineering State Polytechnic of Ujung Pandang Makassar Indonesia Mechanical Engineering Dept. Hasanuddin University Indonesia

Quadcopter is an unmanned aircraft that could be used as an image recorder at various view angle that can't be placed by a human. This research is done to planning, building and implement a quadcopter that is equipped with a camera. Then, we apply for a tracking object program in the quadcopter which is called image processing. Therefore, this research begins by designing the mechanical and electrical of the quadcopter. While the designing of the software is done by making image processing program using C++. Data collection is done by testing the device in each section. Based on the result of research and testing, the result shows that quadcopter could follow a straight moving human, then it turns 90° to right as far as 10 meters. But, there are any movements that we did not expect before, which is in the altitude of the quadcopter, it because of the instability of the loiter flight mode.

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Development of Constrained Predictive Functional control using Laguerre Function Based Prediction

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IFAC-PapersOnLine 2017年第1期50卷 10705-10710页

作者： Abdullah M. Rossiter J.A. Haber R. Department of Automatic Control and System Engineering University of Sheffield Mappin StreetS1 3JD United Kingdom Dept. of Mech. Engin. International Islamic University Malaysia Institute of Process Engineering and Plant Design Cologne University of Applied Sciences Köln D-50679 Germany

This work presents a novel constraint handling strategy for Predictive Functional control (PFC). First, to improve prediction consistency, the constant input assumption of nominal PFC approaches is replaced with Laguerre based prediction. This substitution improves the effectiveness of using a constrained solution to prevent long-term constraint violations. Secondly, for state constraints, a simpler single regulator approach is proposed instead of switching between regulators, an approach common in the PFC literature. Simulation results verify that the proposed method manages the constraints better than the traditional approach. Moreover, despite all the modifications, the controller formulation and framework remain simple and straightforward which thus are in line with the key ethos of PFC. © 2017

关键词： Constrained PFC Effective Constraint Technique Predictive control

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On the coupling of model predictive control and robust kalman filtering

arXiv

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arXiv 2018年

作者： Zenere, Alberto Zorzi, Mattia Division of Automatic Control Dept. of Electrical Engineering Linköping University LinköpingSE-58183 Sweden Dipartimento di Ingegneria dell'Informazione University of Padova via Gradenigo 6/B Padova35131 Italy

Model Predictive control (MPC) represents nowadays one of the main methods employed for process control in industry. Its strong suits comprise a simple algorithm based on a straightforward formulation and the flexibility to deal with constraints. On the other hand it can be questioned its robustness regarding model uncertainties and external noises. Thus, a lot of efforts have been spent in the past years into the search of methods to address these shortcomings. In this paper we propose a robust MPC controller which stems from the idea of adding robustness in the prediction phase of the algorithm while leaving the core of MPC untouched. More precisely, we consider a robust Kalman filter that has been recently introduced and we further extend its usability to feedback control systems. Overall the proposed control algorithm allows to maintain all of the advantages of MPC with an additional improvement in performance and without any drawbacks in terms of computational complexity. To test the actual reliability of the algorithm we apply it to control a servomechanism system characterized by nonlinear dynamics. Copyright © 2018, The Authors. All rights reserved.

关键词： Model predictive control

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Conducting Online Lab Experiments with Blockly

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IFAC-PapersOnLine 2017年第1期50卷 13474-13479页

作者： Galan, Daniel Heradio, Ruben de la Torre, Luis Dormido, Sebastian Esquembre, Francisco Dept. of Computer Science and Automatic Control Universidad Nacional de Educación a Distancia Juan del Rosal 16 MadridE-28040 Spain Dept. of Software Engineering and Computer Systems Universidad Nacional de Educación a Distancia Juan del Rosal 16 MadridE-28040 Spain Dept. of Mathematics Universidad de Murcia Campus de Espinardo MurciaE-30071 Spain

Laboratory experimentation plays an essential role in control education. To reduce the high costs of maintaining apparatus in traditional labs and to support distance and blended learning, online laboratories are used as a possible alternative to conventional hands-on labs. In these labs it is often desirable to allow students to define their own experiments. This paper presents the definition and implementation of a generic experimentation language for conducting automatic experiments on existing online laboratories. The main objective is to use an online lab, created independently, as a component in which users can perform experiments. To achieve it, authors present the Experiment Application. It is composed by Blockly, to define and design the experiments, and Google Chart, review and visualize the experiment results. This tool offers benefits to students, teachers and, even, lab designers. For the moment, it can be used with any existing lab or simulation created with the authoring tool Easy Java(script) Simulations. Since there are repositories with hundreds of free available labs created with this tool, the potential applicability of the described tool is considerable. To illustrate the utility of the Experiment Application a very well-known system is used: the Simple Harmonic Oscillator system. © 2017

关键词： Computer software Experiments Research laboratories Teaching Blockly Easy java(script) Simulations Experimentation Language Javascript Remote laboratories Virtual laboratories

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Current-limiting droop control with virtual inertia and self-synchronization properties

Current-limiting droop control with virtual inertia and self...

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Annual Conference of Industrial Electronics Society

作者： Alexandros G. Paspatis George C. Konstantopoulos Dept. of Automatic Control and Systems Engineering The University of Sheffield Sheffield UK

In this paper a current-limiting droop control of grid-tied inverters that introduces virtual inertia and operates without a phase locked loop unit is proposed. The proposed controller inherits a self-synchronization function and can guarantee tight bounds for the inverter frequency. In addition, using nonlinear Lyapunov theory, it is analytically proven that the inverter current never violates a given maximum value. Compared to the original current-limiting droop controller, the maximum capacity of the inverter is utilized at all times using the proposed strategy, even under grid faults. It is also proven that the proposed controller significantly reduces the resonance problem of the LCL filter. Extended simulation results are presented to verify the performance of the proposed controller under normal and faulty grid conditions.

关键词： Inverters Frequency control Phase locked loops Voltage control Closed loop systems Synchronous generators

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Wind farm active voltage regulation strategy of transient support improvement

Wind farm active voltage regulation strategy of transient su...

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8th Renewable Power Generation Conference (RPG 2019)

作者： Cui Yang Song Peng Cheng Xuekun Qiao Ying Wang Xiaosheng Liu Jingbo State Grid Jibei Electric Power Co. Ltd. Research Institute North China Electric Power Research Institute Co. Ltd. Xicheng District Beijing China Grid-connected Operation Technology For Wind-Solar-Storage Hybrid System State Grid Corporation Key Laboratory Xicheng District Beijing China State Key Lab of Control and Simulation of Power Systems and Generation Equipment Dept. of Electrical Engineering Tsinghua University Haidian District Beijing China

ISBN: (数字)9781839531248

ISBN: (纸本)9781839531255

The cumulative installed capacity of wind power worldwide has grown rapidly in recent years. Fixed reactive power control is adopted by wind turbines (WTs) to receive cycle instruction of wind farm (WF) automatic voltage control system (AVCS). It does not have active voltage regulation (AVR) capability, which reduces the reliability of power system operation. Firstly, two ways of WTs AVR which QV droop control and Vac control mode are introduced in this paper. On the basis, the problems of reactive power circulation and control points inconsistency during multi-WTs voltage regulation are discussed. The problems are solved by coordination of WTs of WF AVR strategy. WF voltage transient support capability is promoted by the strategy. Effectiveness is verified by simulation case of the proposed method.

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PI-IMC control for frequency deviation control in Islanded micro gric 21

PI-IMC control for frequency deviation control in Islanded m...

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21st International Conference on system Theory, control and Computing, ICSTCC 2017

作者： Vilanova, R. Pedret, C. Barbu, M. Department of Telecomunications and Systems Engineering School of Engineering. Universitat Autonoma Barcelona Bellaterra Barcelona08193 Spain Dept. Automatic Control and Electrical Eng. Dunarea de Jos University of Galati. Galati800008 Romania

ISBN: (纸本)9781538638422

This work faces the problem of frequency deviation in microgrid systems. The considered microgrid includes renewable energy sources such as wind and solar photovoltaic. As long as these sources provide an irregular power supply or there is a sudden change in the system load, the power system frequency deviates. In order to compensate such deviations, alternative, conventional energy sources should be commanded in order to provide the corresponding power deficit. In this paper a very simple and of common industrial practice control approach such as the Internal Model control based on first order plus time delay models is proposed to tune a PI controller. As the commanded energy sources are based on fuel consumption, the control usage has to be maintained at low levels. It is shown that the PI control approach is able to provide accurate frequency deviation control with very low movements for the control signal. Time domain simulations show the effectiveness of the approach as compared with other more sophisticated controllers (Fractional order PID) already proposed in the literature. © 2017 IEEE.

关键词： controllers

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A neural network for predicting unintentional lane departures

A neural network for predicting unintentional lane departure...

引用

2017 IEEE International Conference on Industrial Technology, ICIT 2017

作者： Ambarak, Jamaa M. Ying, Hao Syed, Fazal Filev, Dimitar Dept. of Electrical and Computer Engineering Wayne State University DetroitMI United States Hybrid Electric Vehicle Control System Ford Motor Company DearbornMI United States

ISBN: (纸本)9781509053209

Unintended lane departure accidents are due to driver's inattention, incapacitation, and drowsiness. Lane departure warning systems have been developed to enhance traffic safety by predicting/detecting driving situation and alerting drivers to avoid or mitigate traffic accidents. This paper explores effectiveness of a three-layer perceptron neural network in predicting an unintentional lane departure, which to the best of our knowledge has not been reported in the literature. This study used driver experiment data generated by VIRTTEX, a hydraulically powered 6-degrees-of-freedom moving base driving simulator at Ford Motor Company. The experimental data represented 16 drowsy drivers who drove a simulated 2000 Volvo S80 (three hours per driver), which consisted of a total of 3,508 lane departure occurrences. Two-third of the lane departures were randomly selected to generate training examples for the network (82,040 examples for a 0.2-second prediction horizon and 171,112 for a 0.5-second horizon). The number of hidden neurons as well as the input vehicle variables were optimized experimentally through the training process. The optimized network was then used to predict lane departure by processing the entire driving time series of the 16 drivers one by one after all the training data was removed from the time series. The network made a prediction at each sampling moment of the time series and there were over 6.3 million predictions. The overall recall and precision of the optimized network for the 0.2-second horizon were 99.74% and 99.66%, respectively, which degraded to 99.23% and 85.49%, respectively, when the horizon increased to 0.5 s. © 2017 IEEE.

关键词： Forecasting

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Performance Evaluation of Lazy and Decision Tree Classifier: A Data Mining Approach for Global Celebrity's Death Analysis

Performance Evaluation of Lazy and Decision Tree Classifier:...

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International Conference on Research in Intelligent and Computing in engineering (RICE)

作者： Vivek Kumar Roman Zinovyev Abhishek Verma Prayag Tiwari Dept. of Automated Control System National University of Science & Technology-MiSiS Moscow Russian Federation Dept.of Semiconductor Electronic National University of Science & Technology-MiSiS Moscow Russian Federation Dept.of CSE Malaviya National Institute of Technology Jaipur India Dept.of Information Engineering University of PaPadova Italy

In present world data is a valuable asset. The best utilization of this asset by means of technology gives an upper hand to an organization. Technologies like machine learning, data mining, and artificial intelligence are no exception to this either. Celebrities influence common people behaviors through biological, psychological and social processes to a great extent. Simultaneously there is vast disparity amongst their demise over the cause, region, and age. Therefore, it is a challenging and interesting endorsement to work upon. The objective of this work is to come up with the comprehensive result to understand the celebrity deaths by investigating the incidence happened over the decade. The database for training is created from the public and open access databases for years 2006-2016 comprising of 11, 200 reported deaths over the globe. Findings of the work are year by year extraction of death, the cause behind it, age, gender, and place. Lazy and decision tree classifier model of data mining is being used for the analysis based on the profession as evaluation class.

关键词： Decision trees Entropy Support vector machines Text mining Information retrieval Machine learning

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