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International Conference on Electrical engineering/Electronics, Computer, Telecommunications and Information Technology

作者： Pakorn Chottiyanont Mongkol Konghirun Wanchak Lenwari Department of Electrical Engineering King Mongkut's University of Technology Thonburi Department of Control System and Instrumentation Engineering King Mongkut's University of Technology Thonburi

ISBN: (纸本)9781479929948

In recent years, the development of the electrical vehicle (EV) in particular the performance enhancement of speed control has been widely attention. To ensure fast dynamic response and stable operation, the design of speed controller is critical and requires considerable effort. This paper proposes an automated design employed genetic algorithm (GA) to optimize PI speed controller of interior permanent magnet synchronous motor (IPMSM) used in the EV. The drive control system is designed on the basis of vector control scheme incorporated with the maximum torque per ampere (MTPA) control strategy to improve the drive performance. The optimization method provides an optimum solution in terms of both speed response and steady-state error. The simulation results verify the effectiveness of the proposed approach.

关键词： Genetic algorithm (GA) MTPA IPMSM Electric vehicle (EV)

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New approach for solving economic load dispatch problem

New approach for solving economic load dispatch problem

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2014 International Conference on Electrical Sciences and Technologies in Maghreb, CISTEM 2014

作者： Gherbi, Yamina Ahlem Bouzeboudja, Hamid Lakdja, Fatiha Gherbi, Fatima Zohra Ould-Abdeslam, Djaffar Electro Technical Department Faculty of Electrical Engineering USTO Oran Algeria Intelligent Control and Electrical Power System Laboratory Djillali Liabès University Sidi-Bel-Abbes Algeria Laboratory Haute Alsace University Mulhouse France

ISBN: (纸本)9781479973002

The goal of the economic load dispatch is to determine the optimal power outputs of on-line generating units in order to meet the load demand subject to satisfying various operational constraints over finite dispatch periods. Finding optimal solutions to these problems requires efficient optimization algorithms. Firefly algorithm and bat algorithm are the most recent methods and they already proved there efficient, but their aspect random present a disadvantage which is the instability of the results, indeed they depend on the random initial values generated by the program. To solve this problem, we tried to hybrid firefly algorithm and bat algorithm, and to test our new algorithm we applied it to a standard electric network of 5 buses with three buses generator and we compared the result obtained with those obtained by other methods. © 2014 IEEE.

关键词： Optimization

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Neural Network Evaluation of Combustion Process for Continuous control of Small Scale Biomass Fired Boilers

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IFAC Proceedings Volumes 2014年第3期47卷 1440-1445页

作者： Stanislav Vrána Viktor Plaček Cyril Oswald Bohumil Šulc Petr Neuman Czech Technical University in Prague Faculty of mechanical Engineering Department of Instrumentation & Control Engineering Prague Czech Republic (Tel: +420 2 2435 2769 NEUREG s.r.o. Prague Czech Republic

Boilers based on combustion of biomass become widely used as a heating source nowadays. The modern ones are typically controlled automatically. The control algorithm of those boilers is crucial in reaching optimal operational conditions by means of maximal efficiency and minimal environmental impact. On the other hand, the acquisition costs of these advanced devices should be maintained at reasonable level. This paper deals with implementation of modern proper control algorithm and obtaining the necessary input values that cannot be easily measured operationally by a direct measurement.

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A review of webapp authoring tools for e-learning

A review of webapp authoring tools for e-learning

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IEEE Global engineering Education Conference

作者： M. Latorre A. Robles-Gomez L. Rodriguez P. Orduna E. San Cristobal A. C. Caminero Ll. Tobarra I. Lequerica S. Ros R. Hernandez M. Castro D. Lopez-de-Ipina J. Garcia-Zubia Electrical and Computer Engineering Department UNED Control and Communication System Department UNED DeustoTech - Deusto Institute of Technology University of Deusto Faculty of Engineering University of Deusto

ISBN: (纸本)9781479931927

The lack of tracking and storing capabilities for the results of web-based learning activities is an issue that remains unsolved. Transitions or interactions defined by teachers through a set of conditions still require programming skills that stay far beyond the desired final results. In addition to this, authoring tools should bepowerful enough to let lecturers generate contents which are high-quality, interactive, and tuned to each student's cognitive preferences and progress. Availability and processing capabilities, or motivation, relevance, etc., must also be aspects to address in this context. For these reasons, this paper aims to review the existing web application authoring toolkits focusing on distance education. In particular, we analize their main features, requirements and issues, as well as the most promising areas for future improvemenst in this field.

关键词： Webapps Authoring tools E-learning Distance education Customization

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Erratum to: RETRACTED ARTICLE: Application of extreme learning machine for estimation of wind speed distribution

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Climate Dynamics 2015年第5期46卷 2025-2025页

作者： Shahaboddin Shamshirband Kasra Mohammadi Chong Wen Tong Dalibor Petković Emilio Porcu Ali Mostafaeipour Sudheer Ch Ahmad Sedaghat Department of Computer System and Technology Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia Faculty of Mechanical Engineering University of Kashan Kashan Iran Department for Mechatronics and Control Faculty of Mechanical Engineering University of Niš Nis Serbia Technical University Federico Santa Maria Valparaíso Chile Industrial Engineering Department Yazd University Yazd Iran Department of Civil and Environmental Engineering ITM University Gurgaon India Department of Mechanical Engineering School of Engineering Australian College of Kuwait Safat Kuwait

Unfortunately, the co-author affiliation Dalibor Petković has been incorrectly published in the original publication.

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Development of paraplegic quadriceps muscle model using ANN and ANFIS

Development of paraplegic quadriceps muscle model using ANN ...

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International Colloquium on Signal Processing & Its Applications, CSPA

作者： S. M. Salleh R. Jailani M. O. Tokhi Faculty of Electrical Engineering Universiti Teknologi MARA Malaysia Shah Alam Selangor Department of Automatic Control and System Engineering University of Sheffied United Kingdom

This paper presents the development of Quadriceps muscle model by using Artificial Neural Network (ANN) and Adaptive Neuro Fuzzy Inference system (ANFIS) based on Functional Electrical Stimulation (FES). The impacts of the output torque with different stimulation parameters (frequency, pulse width and sampling time) are investigated. These parameters will be used to develop the paraplegic muscle models. Muscle models developed are validated with the clinical data to evaluate the accuracy of the output torque predicted compare to the actual paraplegic muscle torque. From the study, ANN is found to be the most accurate model compare to ANFIS with the value of mean squared error of 0.3758. Both developed models in this study can be used in a various control strategies to control FES parameters during rehabilitation proses using FES.

关键词： Muscles Artificial neural networks Mathematical model Data models Force Biological system modeling Adaptation models

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Managed N-gram language model based on Hadoop framework and a Hbase tables

Managed N-gram language model based on Hadoop framework and ...

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The International Conference on Informatics and systems (INFOS)

作者： Tahani Mahmoud Allam Alsayed Abdelhameed Sallam Hatem M. Abdullkader Computer and Automatic Control Department Faculty of Engineering Tanta University Tanta Egypt Information System Department Faculty of Computers and Information Menofia University Menofia Egypt

N-grams are a building block in natural language processing and information retrieval. It is a sequence of a string data like contiguous words or other tokens in text documents. In this work, we study how N-gram can be computed efficiently using a MapReduce for distributed data processing and a distributed database named Hbase This technique is applied to construct the training and testing processes using Hadoop MapReduce framework and Hbase. We proposed to focus on the time cost and storage size of the model and exploring different structures of Hbase table. By constructing and comparing a different table structures on training 100 million words for unigram, bigram and trigram models we suggest a table based on half ngram structure is a more suitable choice for distributed language model. The results of this work can be applied in the cloud computing and other large scale distributed language processing areas.

关键词： Computational modeling Training Smoothing methods Context Testing Informatics Distributed computing

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Model-Free Observer for MIMO systems

Model-Free Observer for MIMO systems

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Conference on control Applications

作者： Younes A1 Younes Hassan Noura Abdelhamid Rabhi Ahmed El Hajjaji Mechanical Engineering Faculty at Higher Colleges of Technology Al Ain UAE and PhD student at the University of Picardie Jules Verne Amiens France PhD is Professor and Chairman of Electrical Engineering Department at United Arab Emirates University Al Ain UAE PhD is Assistant Professor in Modeling Information & System Lab - Control & Vehicle Group- at University of Picardie Amiens France PhD is Professor in Modeling Information & System Lab - Control & Vehicle Group- at University of Picardie Amiens France

ISBN: (纸本)9781479977970

In this paper, a novel observer design is introduced to estimate the outputs of a Multi-Input-Multi-Output (MIMO) system. From the synthesis of state observer and Model-Free technique, the Model-Free Observer (MFO) is proposed to compensate for the un-modeled dynamics, modeling errors, and the system uncertainties. The developed output estimation technique using MFO is validated using real flights of a quadrotor UAV. Two flight-test missions are conducted to validate the proposed observer performance, in the fault free case as well as in the presence of actuator faults.

关键词： MFO proposed actuator faults

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Simulation and experimental study on attitude control of quadrotor

Simulation and experimental study on attitude control of qua...

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IEEE International Conference on Robotics and Biomimetics

作者： Nuttakorn Trirattanawananon Benjamas Panomruttanarug Kohji Higuchi Félix Mora-Camino Department of Control System and Instrumentation Engineering King Mongkut's University of Technology Thonburi Bangkok Thailand Graduate School of Informatics and Engineering University of Electro-Communications Tokyo Japan French Civil Aviation Institute Toulouse France

ISBN: (纸本)9781479973989

This paper studies dynamic behavior of a quadrotor in both simulation and experiment when tracking desired attitude angles. The flight attitude control implemented in this research is designed based on a feedback control with an inner-loop structure as in the Aeroquad project. The feedback control configuration is applied to the dynamic model of a DIY qaudrotor UAV to simulate its attitude tracking behavior when tuning the PID gains based on a heuristic approach. The well-tuned PID controller is therefore applied to the experiment to validate the desired tracking response.

关键词： Attitude control Rotors Aerospace electronics DC motors Mathematical model Hardware Aerodynamics

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RETRACTED ARTICLE: Soft computing methodologies for estimation of bridge girder forces with perforations under tsunami wave loading

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Bulletin of Earthquake engineering 2014年第3期13卷 935-952页

作者： Akib, Shatirah Rahman, Sadia Shamshirband, Shahaboddin Petković, Dalibor Department of Civil Engineering University of Malaya Kuala Lumpur Malaysia Department of Computer System and Technology Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia Department of Computer Science Chalous Branch Islamic Azad University (IAU) Chalous Iran Department for Mechatronics and Control Faculty of Mechanical Engineering University of Niš Nis Serbia

Tsunamis pose a great threat to coastal infrastructures. Bridges without adequate provisions for earthquake and tsunami loading generally are vulnerable when a tsunami occurs. During the last two disastrous tsunami events (i.e., the tsunami in the Indian Ocean and the tsunami that struck Japan), many bridges were damaged by the waves created by the tsunamis. In this paper, in order to address this crucial problem, we used soft computing techniques to design and develop a process that simulates the effects of perforations in the girders of bridges on reducing the forces applied on the bridge when a tsunami occurs. Soft computing methods have very good learning and prediction capabilities, which make it an effective tool for dealing with the uncertainties encountered when waves are generated by a tsunami. Laboratory experiments were conducted to acquire a better understanding of the effects of the factors involved and to check the data required for the soft computing methods. In order to predict the effects of perforations in the girder of a bridge on force reduction, novel intelligent soft computing schemes, support vector regression (SVR), and adaptive neuro-fuzzy inference system (ANFIS) were investigated. In this study, the polynomial, linear, and radial basis function were used as the kernel function of the SVR to estimate the effects of perforations in a girder of a bridge. The performances of the proposed estimators were confirmed by simulation results. The SVR results were compared with the ANFIS results, and we observed that an improvement in predictive accuracy and the ability to generalize were achieved by the ANFIS approach.

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