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Articles 2551 - 2580 of 3106
Full-Text Articles in Computer Sciences
Controlling The Chaotic Discrete-Hénon System Using A Feedforward Neural Network With An Adaptive Learning Rate, Kürşad Gökce, Yilmaz Uyaroğlu
Controlling The Chaotic Discrete-Hénon System Using A Feedforward Neural Network With An Adaptive Learning Rate, Kürşad Gökce, Yilmaz Uyaroğlu
Turkish Journal of Electrical Engineering and Computer Sciences
This paper proposes a feedforward neural network-based control scheme to control the chaotic trajectories of a discrete-Hénon map in order to stay within an acceptable distance from the stable fixed point. An adaptive learning back propagation algorithm with online training is employed to improve the effectiveness of the proposed method. The simulation study carried in the discrete-Hénon system verifies the validity of the proposed control system.
A New Morse Code Scheme Optimized According To The Statistical Properties Of Turkish, Emrah Çi̇çek, Asim Egemen Yilmaz
A New Morse Code Scheme Optimized According To The Statistical Properties Of Turkish, Emrah Çi̇çek, Asim Egemen Yilmaz
Turkish Journal of Electrical Engineering and Computer Sciences
Morse code has been in use for more than 180 years, even though its currently known form is slightly different than the form defined by Morse and Vail. The code book constructed by Vail was optimized according to the statistical properties of English. In this study, we propose a new code book optimized for Turkish and demonstrate that it is information-theoretically possible to achieve about a 10% improvement throughout the coding of Turkish texts by means of our proposal. The outcomes of this might serve as a basis for potential (academic and/or applied) Turkish language-specific lossless data compression studies.
Optimal Sizing And Siting Distributed Generation Resources Using A Multiobjective Algorithm, Seyed Amir Hosseini, Seyed Siavash Karimi Madahi, Farzad Razavi, Mohsen Karami, Ali Asghar Ghadimi
Optimal Sizing And Siting Distributed Generation Resources Using A Multiobjective Algorithm, Seyed Amir Hosseini, Seyed Siavash Karimi Madahi, Farzad Razavi, Mohsen Karami, Ali Asghar Ghadimi
Turkish Journal of Electrical Engineering and Computer Sciences
The restructuring of the electrical market, improvement in the technologies of energy production, and energy crisis have paved the way for increasing applications of distributed generation (DG) resources in recent years. Installing DG units in a distribution network may result in positive impacts, such as voltage profile improvement and loss reduction, and negative impacts, such as an increase in the short-circuit level. These impacts depend on the type, capacity, and place of these resources. Therefore, finding the optimal place and capacity of DG resources is of crucial importance. Accordingly, this paper is aimed at finding the optimal place and capacity …
An Automated Signal Alignment Algorithm Based On Dynamic Time Warping For Capillary Electrophoresis Data, Fethullah Karabi̇ber
An Automated Signal Alignment Algorithm Based On Dynamic Time Warping For Capillary Electrophoresis Data, Fethullah Karabi̇ber
Turkish Journal of Electrical Engineering and Computer Sciences
Correcting the retention time variation and measuring the similarity of time series is one of the most popular challenges in the area of analyzing capillary electrophoresis (CE) data. In this study, an automated signal alignment method is proposed by modifying the dynamic time warping (DTW) approach to align the time-series data. Preprocessing tools and further optimizations were developed to increase the performance of the algorithm. As a demonstrative case study, the developed algorithm is applied to the analysis of CE data from a selective 2'-hydroxyl acylation analyzed by primer extension (SHAPE) evaluation of the RNA secondary structure. The time-shift problem …
Simulation Of A Large Electric Distribution System Having Intensive Harmonics In The Industrial Zone Of Konya, Hasan Eroğlu, Musa Aydin
Simulation Of A Large Electric Distribution System Having Intensive Harmonics In The Industrial Zone Of Konya, Hasan Eroğlu, Musa Aydin
Turkish Journal of Electrical Engineering and Computer Sciences
In this study, measurements were taken at different points of a sample distribution system in order to analyze the levels of harmonics that appear as a day-to-day increasing problem in electrical distribution systems. According to the measurement values, the dominant harmonics have been determined and an electrical model of the system has been prepared using the SimPowerSystems toolbox from MATLAB and Simulink. The accuracy of the electrical model has been verified by the measurement and simulation values. In addition, the transformer connection types' and impedances' simulations have been presented to understand and solve the harmonic problems in electrical distribution systems. …
A Blind Digital Signature Scheme Using Elliptic Curve Digital Signature Algorithm, İsmai̇l Bütün, Mehmet Demi̇rer
A Blind Digital Signature Scheme Using Elliptic Curve Digital Signature Algorithm, İsmai̇l Bütün, Mehmet Demi̇rer
Turkish Journal of Electrical Engineering and Computer Sciences
In this study, we propose a blind digital signature (BDS) scheme based on the elliptic curve digital signature algorithm that increases the performance significantly. The security of our scheme is based on the difficulty of the elliptic curve discrete algorithm problem. Therefore, it offers much smaller key lengths for the desired security levels, along with much faster cryptographic processes, leading to fewer hardware and software requirements. According to our simulation results, the relative performance improvement of our proposed BDS scheme is up to 96% when compared with previously proposed schemes.
On-Line Self-Learning Pid Controller Design Of Sssc Using Self-Recurrent Wavelet Neural Networks, Soheil Ganjefar, Mojtaba Alizadeh
On-Line Self-Learning Pid Controller Design Of Sssc Using Self-Recurrent Wavelet Neural Networks, Soheil Ganjefar, Mojtaba Alizadeh
Turkish Journal of Electrical Engineering and Computer Sciences
Conventionally, FACTS devices employ a proportional-integral (PI) controller as a supplementary controller. However, the conventional PI controller has many disadvantages. The present paper aims to propose an on-line self-learning PI-derivative (PID) controller design of a static synchronous series compensator for power system stability enhancement and to overcome the PI controller problems. Unlike the PI controllers, the proposed PID controller has a local nature because of its powerful adaption process, which is based on the back-propagation (BP) algorithm that is carried out through an adaptive self-recurrent wavelet neural network identifier (ASRWNNI). In fact, the PID controller parameters are updated in on-line …
A Computer-Aided Diagnosis System For Breast Cancer Detection By Using A Curvelet Transform, Nebi̇ Gedi̇k, Ayten Atasoy
A Computer-Aided Diagnosis System For Breast Cancer Detection By Using A Curvelet Transform, Nebi̇ Gedi̇k, Ayten Atasoy
Turkish Journal of Electrical Engineering and Computer Sciences
The most common type of cancer among women worldwide is breast cancer. Early detection of breast cancer is very important to reduce the fatality rate. For the hundreds of mammographic images scanned by a radiologist, only a few are cancerous. While detecting abnormalities, some of them may be missed, as the detection of suspicious and abnormal images is a recurrent mission that causes fatigue and eyestrain. In this paper, a computer-aided diagnosis system using the curvelet transform (CT) algorithm is proposed for interpreting mammograms to improve the decision making. The purpose of this study is to develop a method for …
Actor-Critic-Based Ink Drop Spread As An Intelligent Controller, Hesam Sagha, Iman Esmaili Paeen Afrakoti, Saeed Bagherishouraki
Actor-Critic-Based Ink Drop Spread As An Intelligent Controller, Hesam Sagha, Iman Esmaili Paeen Afrakoti, Saeed Bagherishouraki
Turkish Journal of Electrical Engineering and Computer Sciences
This paper introduces an innovative adaptive controller based on the actor-critic method. The proposed approach employs the ink drop spread (IDS) method as its main engine. The IDS method is a new trend in soft-computing approaches that is a universal fuzzy modeling technique and has been also used as a supervised controller. Its process is very similar to the processing system of the human brain. The proposed actor-critic method uses an IDS structure as an actor and a 2-dimensional plane, representing control variable states, as a critic that estimates the lifetime goodness of each state. This method is fast, simple, …
A Real-Time Extraction Of Active And Reactive Current Using Microcontrollers For A Multipulse Statcom, Mehmet Ali̇ Anadol, Musa Aydin, Tankut Yalçinöz
A Real-Time Extraction Of Active And Reactive Current Using Microcontrollers For A Multipulse Statcom, Mehmet Ali̇ Anadol, Musa Aydin, Tankut Yalçinöz
Turkish Journal of Electrical Engineering and Computer Sciences
In power transmission and distribution systems, the design of a compensator that adjusts the power factor without causing additional power losses requires the determination of the reactive current components that are going to be supplied into the system. In this study, the determination of the active and reactive current components is achieved via the use of the nonactive power theory and a microcontroller-based control system. The control system has been implemented with low-cost 16-bit microcontrollers. This system was used to control a 3-phase, 12-pulse laboratory-size prototype of a static synchronous compensator (STATCOM) with the structure of a voltage source converter. …
Multiobjective Differential Evolution-Based Performance Optimization For Switched Reluctance Motor Drives, Hedi Yahia, Noureddine Liouane, Rachid Dhifaoui
Multiobjective Differential Evolution-Based Performance Optimization For Switched Reluctance Motor Drives, Hedi Yahia, Noureddine Liouane, Rachid Dhifaoui
Turkish Journal of Electrical Engineering and Computer Sciences
The simple structure, low manufacturing cost, rugged behavior, high torque per unit volume, and wide torque-speed range make a switched reluctance motor (SRM) very attractive for industrial applications. However, these advantages are overshadowed by its inherent high torque ripple, acoustic noise, and difficulty to control. The controlled parameters in SRM drives can be selected as the turn-on angle, the turn-off angle, and the current reference. This paper investigates the problem of optimal control parameters considering the maximum average torque, minimum copper losses, and minimum torque ripple as the main objectives in SRM drives. The use of evolutionary algorithms (EAs) to …
Implementation Of An Ac Model For Transmission Expansion Planning Considering Reliability Constraints, Amin Mahmoudabad, Masoud Rashidinejad, Majid Zeinaddini-Meymand, Mohsen Rahmani
Implementation Of An Ac Model For Transmission Expansion Planning Considering Reliability Constraints, Amin Mahmoudabad, Masoud Rashidinejad, Majid Zeinaddini-Meymand, Mohsen Rahmani
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a hybrid heuristic methodology that employs fuzzy logic for solving the AC transmission network expansion planning (AC-TEP) problem is presented. An enhanced constructive heuristic algorithm aimed at obtaining a significant quality solution for such complicated problems considering contingency is proposed. In order to indicate the severity of the contingency, 2 performance indices, namely the line flow performance index and voltage performance index, are calculated. An interior point method is applied as a nonlinear programming solver to handle such nonconvex optimization problems, while the objective function includes the costs of the new transmission lines as well as the …
Comparison Study Of Computational Parameter Values Between Lrn And Narx In Identifying Nonlinear Systems, Farah Hani Nordin, Farrukh Hafiz Nagi, Aidil Azwin Zainul Abidin
Comparison Study Of Computational Parameter Values Between Lrn And Narx In Identifying Nonlinear Systems, Farah Hani Nordin, Farrukh Hafiz Nagi, Aidil Azwin Zainul Abidin
Turkish Journal of Electrical Engineering and Computer Sciences
To determine the nonlinear autoregressive model with exogenous inputs (NARX) parameter values is not an easy task, even though NARX is reported to successfully identify nonlinear systems. Apart from the activation functions, number of layers, layer size, learning rate, and number of epochs, the number of delays at the input and at the feedback loop need to also be determined. The layer recurrent network (LRN) is seen to have the potential to outperform NARX. However, not many papers have reported on using the LRN to identify nonlinear systems. Therefore, it is the aim of this paper to investigate and analyze …
Shape Control Of Cyclic Networks In Multirobot Formations, Tolga Eren
Shape Control Of Cyclic Networks In Multirobot Formations, Tolga Eren
Turkish Journal of Electrical Engineering and Computer Sciences
The first part of this paper examines cycles at the network level of sensing and control architectures that are needed to maintain the shape of a multiagent formation in 2-dimensional space, while the formation moves as a cohesive whole. The key tools used in the paper are rigidity theory and graph theory. The second part of the paper focuses on the planner level and controller level of the architecture by designing the fuzzy planner and fuzzy controller of individual agents. This permits the decomposition of the complex coordination problem into a series of smaller ones. The fuzzy planner and the …
An Automated Prognosis System For Estrogen Hormone Status Assessment In Breast Cancer Tissue Samples, Fati̇h Sarikoç, Adem Kalinli, Hülya Akgün, Fi̇gen Öztürk
An Automated Prognosis System For Estrogen Hormone Status Assessment In Breast Cancer Tissue Samples, Fati̇h Sarikoç, Adem Kalinli, Hülya Akgün, Fi̇gen Öztürk
Turkish Journal of Electrical Engineering and Computer Sciences
Estrogen receptor (ER) status evaluation is a widely applied method in the prognosis of breast cancer. However, testing for the existence of the ER biomarker in a patient's tumor sample mainly depends on the subjective decisions of the doctors. The aim of this paper is to introduce the usage of a machine learning tool, functional trees (FTs), to attain an ER prognosis of the disease via an objective decision model. For this aim, 27 image files, each of which came from a biopsy sample of an invasive ductal carcinoma patient, were scanned and captured by a light microscope. From these …
A Rule Induction Algorithm For Knowledge Discovery And Classification, Ömer Akgöbek
A Rule Induction Algorithm For Knowledge Discovery And Classification, Ömer Akgöbek
Turkish Journal of Electrical Engineering and Computer Sciences
Classification and rule induction are key topics in the fields of decision making and knowledge discovery. The objective of this study is to present a new algorithm developed for automatic knowledge acquisition in data mining. The proposed algorithm has been named RES-2 (Rule Extraction System). It aims at eliminating the pitfalls and disadvantages of the techniques and algorithms currently in use. The proposed algorithm makes use of the direct rule extraction approach, rather than the decision tree. For this purpose, it uses a set of examples to induce general rules. In this study, 15 datasets consisting of multiclass values with …
Topology And Control Design Of A Sinusoidal Very Low Frequency High Voltage Generator, Zhigang Liu, Guofeng Li, Ninghui Wang
Topology And Control Design Of A Sinusoidal Very Low Frequency High Voltage Generator, Zhigang Liu, Guofeng Li, Ninghui Wang
Turkish Journal of Electrical Engineering and Computer Sciences
To reduce the volume and the structural complexity of a very low frequency (VLF) high voltage (HV) generator, this paper introduces a novel sinusoidal VLF HV generator with 2 high frequency HV (HFHV) transformers and 2 metal-oxide semiconductor field-effect transistor cascaded HV bridge arms. Series-parallel resonant converter technology is applied to reduce the impact of the distributed parameters, decreasing the power loss and the volume of the transformer. Both the switching frequency and the duty cycle are utilized as actuating variables to cope with the large ranges of output. Simultaneously, the principle of segmental data processing is proposed to obtain …
Operational Characteristics Of A Filtering Rectifier Transformer For Industrial Power Systems, Zhiyu Zhao, Longfu Luo, Jiazhu Xu, Thanhngoc Tran, Zhiwen Zhang
Operational Characteristics Of A Filtering Rectifier Transformer For Industrial Power Systems, Zhiyu Zhao, Longfu Luo, Jiazhu Xu, Thanhngoc Tran, Zhiwen Zhang
Turkish Journal of Electrical Engineering and Computer Sciences
Many conventional methods focus on reducing the harmful impact of the poor power quality in industrial rectifier systems, but they focus more on the harmonic problems of the utility grid than they do on that of the rectifier transformer; hence, the rectifier transformer would still be adversely affected by harmonic pollution. In order to solve the problem, a filtering rectifier transformer is proposed that adopts a harmonic current drainage system that incorporates tertiary winding and tuned harmonic filters. The impedance of the tertiary winding is specially designed and the tuned harmonic filters work together to restrain the harmonic current and …
Unscented Transformation-Based Probabilistic Optimal Power Flow For Modeling The Effect Of Wind Power Generation, Morteza Aien, Mahmood Fotuhi-Firuzabad, Farrokh Aminifar
Unscented Transformation-Based Probabilistic Optimal Power Flow For Modeling The Effect Of Wind Power Generation, Morteza Aien, Mahmood Fotuhi-Firuzabad, Farrokh Aminifar
Turkish Journal of Electrical Engineering and Computer Sciences
The unprecedented increasing penetration of distributed energy resources, mainly harvesting renewable energies, is a direct result of environmental concerns. These types of energy resources bring about more uncertainties in the power system and, consequently, necessitate probabilistic analyses of the system performance. This paper develops a new approach for probabilistic optimal power flow (P-OPF) by adapting the unscented transformation (UT) method. The heart of the proposed method lies in how to produce the sampling points. Appropriate sample points are chosen to perform the P-OPF with a high degree of accuracy and less computational burden in comparison with the features of other …
Antiwindup Design For The Speed Loop Pi Controller Of A Pmsm Servo System, Ming Yang, Li Niu, Dian-Guo Xu
Antiwindup Design For The Speed Loop Pi Controller Of A Pmsm Servo System, Ming Yang, Li Niu, Dian-Guo Xu
Turkish Journal of Electrical Engineering and Computer Sciences
A novel antiwindup (AW) strategy for a proportional-integral (PI) regulator based on the back-calculation method is presented. The proposed method will calculate the gain of the back-calculation based on the input and output status of the PI regulator without the requirement of motor parameters, such as the inertial and torque-current coefficient, and the back-calculation gain will vary with the speed command in order to obtain the optimal dynamic performance. The proposed method avoids the problem caused by the fixed back-calculation gain in the classical AW strategy, and prevents the system from untimely saturation withdrawing or an unexpected overshoot due to …
Feature-Based Fault Detection Of Industrial Gas Turbines Using Neural Networks, Abbas Rasaienia, Behzad Moshiri, Mohammadamin Moezzi
Feature-Based Fault Detection Of Industrial Gas Turbines Using Neural Networks, Abbas Rasaienia, Behzad Moshiri, Mohammadamin Moezzi
Turkish Journal of Electrical Engineering and Computer Sciences
Gas turbine (GT) fault detection plays a vital role in the minimization of power plant operation costs associated with power plant overhaul time intervals. In other words, it is helpful in generating pre-alarms and paves the way for corrective actions in due time before incurring major equipment failures. Hence, finding an efficient fault detection technique that is applicable in the online operation of power plants involved with minor computations is an urgent need in the power generation industry. Such a method is studied in this paper for the V94.2 class of GTs. As the most leading stage for developing a …
Shifted-Modified Chebyshev Filters, Meti̇n Şengül
Shifted-Modified Chebyshev Filters, Meti̇n Şengül
Turkish Journal of Electrical Engineering and Computer Sciences
This paper introduces a new type of filter approximation method that utilizes shifted-modified Chebyshev filters. Construction of the new filters involves the use of shifted-modified Chebyshev polynomials that are formed using the roots of conventional Chebyshev polynomials. The study also includes 2 tables containing the shifted-modified Chebyshev polynomials and the normalized element values for the low-pass prototype filters up to degree 6. The transducer power gain, group delay, and impulse and step responses of the proposed filters are compared with those of the Butterworth and Chebyshev filters, and a sixth-order filter design example is presented to illustrate the implementation of …
Big Bang-Big Crunch Optimization Algorithm With Local Directional Moves, Hakki Murat Genç, İbrahi̇m Eksi̇n, Osman Kaan Erol
Big Bang-Big Crunch Optimization Algorithm With Local Directional Moves, Hakki Murat Genç, İbrahi̇m Eksi̇n, Osman Kaan Erol
Turkish Journal of Electrical Engineering and Computer Sciences
The big bang--big crunch (BB--BC) algorithm has been proposed as a novel optimization method that relies on one of the theories of the evolution of the universe, namely the big bang and big crunch theory. It has been shown that this algorithm is capable of quick convergence, even in long, narrow parabolic-shaped flat valleys or in the existence of several local extremes. In this work, the BB--BC optimization algorithm is hybridized with local search moves in between the ``banging'' and ``crunching'' phases of the algorithm. These 2 original phases of the BB--BC algorithm are preserved, but the representative point (``best'' …
Lightweight Wireless Protocol Based On Ieee 802.11 For Delay Sensitive Telerobotic Systems, Onur Toker, Haluk Gümüşkaya, Ci̇han Ulaş, Bora Tamer Yilmaz
Lightweight Wireless Protocol Based On Ieee 802.11 For Delay Sensitive Telerobotic Systems, Onur Toker, Haluk Gümüşkaya, Ci̇han Ulaş, Bora Tamer Yilmaz
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, we consider wireless telerobotic systems and protocol development for low-delay wireless communication. Telerobotics can be defined as the control of robot arms from a remote location. In a telerobotic system, there is a robot arm to be controlled that is identified as the `slave arm', and a remote operator at a distant location using a robotic manipulator that is called the `master arm'. In the control system measurements, actuator delays do degrade the system's performance. Therefore, communication delays between the master and slave arms, and their minimization, are of extreme importance in telerobotics. In this paper, we …
Efficient Feature Integration With Wikipedia-Based Semantic Feature Extraction For Turkish Text Summarization, Aysun Güran, Ni̇lgün Güler Bayazit, Mustafa Zahi̇d Gürbüz
Efficient Feature Integration With Wikipedia-Based Semantic Feature Extraction For Turkish Text Summarization, Aysun Güran, Ni̇lgün Güler Bayazit, Mustafa Zahi̇d Gürbüz
Turkish Journal of Electrical Engineering and Computer Sciences
This study presents a novel hybrid Turkish text summarization system that combines structural and semantic features. The system uses 5 structural features, 1 of which is newly proposed and 3 are semantic features whose values are extracted from Turkish Wikipedia links. The features are combined using the weights calculated by 2 novel approaches. The first approach makes use of an analytical hierarchical process, which depends on a series of expert judgments based on pairwise comparisons of the features. The second approach makes use of the artificial bee colony algorithm for automatically determining the weights of the features. To confirm the …
Review Of Distinctive Phonetic Features And The Arabic Share In Related Modern Research, Yousef Alotaibi, Ali Meftah
Review Of Distinctive Phonetic Features And The Arabic Share In Related Modern Research, Yousef Alotaibi, Ali Meftah
Turkish Journal of Electrical Engineering and Computer Sciences
Most research in the field of digital speech technology has traditionally been conducted in only a few languages, such as English, French, Spanish, or Chinese. Numerous studies using distinctive phonetic features (DPFs) with different techniques and algorithms have been carried out during the last 3 decades, mainly in English, Japanese, and other languages of industrialized countries. DPF elements are based on a technique used by linguists and digital speech and language experts to distinguish between different phones by considering the lowest level of actual features during phonation. These studies have investigated the best performances, outcomes, and theories, especially those regarding …
A Linearly Slotted Waveguide Antenna And Comparison Of It With A Sinusoidal One, Alp Oral Salman
A Linearly Slotted Waveguide Antenna And Comparison Of It With A Sinusoidal One, Alp Oral Salman
Turkish Journal of Electrical Engineering and Computer Sciences
A linearly slotted waveguide antenna (LSWA) is investigated. The slot is placed in one of the narrow faces of a rectangular waveguide, which operates at Ka-band (26.5--40 GHz), which is in a frequency range including upper microwaves and the lower edge of millimeter waves. Analytically, the magnetic current approach is applied. Some antenna parameters of this structure are experimentally measured and it is observed that the antenna radiates a single transversal-polarized beam that scans with frequency. The experimentally obtained patterns in 2 perpendicular planes are also correlated with analytical and numerical patterns that use the magnetic current model and HFSS, …
A Learning Approach In Link Adaptation For Mimo-Ofdm Systems, Hali̇l Yi̇ği̇t, Adnan Kavak
A Learning Approach In Link Adaptation For Mimo-Ofdm Systems, Hali̇l Yi̇ği̇t, Adnan Kavak
Turkish Journal of Electrical Engineering and Computer Sciences
We propose a neural network (NN)-based adaptive modulation and coding (AMC) for link adaptation in MIMO-OFDM systems. The AMC optimizes the best modulation and coding scheme (MCS) under a packet error rate (PER) constraint. In our approach, a NN with a multilayer perceptron (MLP) structure is applied for the AMC and its performance is compared with the k-nearest neighbor (k-NN) algorithm under the frequency-flat (1-tap) and frequency-selective (4-tap) wireless channel conditions. The simulation results show that the NN classifier outperforms the k-NN algorithm, especially in terms of the PER, due to the fact that the MLP guarantees a MCS with …
Economic Power Dispatch Of Power Systems With Pollution Control Using Artificial Bee Colony Optimization, Linda Slimani, Tarek Bouktir
Economic Power Dispatch Of Power Systems With Pollution Control Using Artificial Bee Colony Optimization, Linda Slimani, Tarek Bouktir
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents a solution for the emission-controlled economic dispatch (ECED) problem of medium-sized power systems via an artificial bee colony algorithm. The ECED problem, which accounts for the minimization of both the fuel cost and the emission, is a multiple objective function problem. The objective is to minimize the total fuel cost of the generation and environmental pollution caused by fossil-based thermal generating units and to also maintain an acceptable system performance in terms of the limits on the generator's real and reactive power outputs, bus voltages, shunt capacitors/reactors, and power flow of transmission lines. The proposed algorithm is …
Robust Sensorless Predictive Control Of Induction Motors With Sliding Mode Voltage Model Observer, Seyed Alireza Davari, Davood Arab Khaburi, Fengxiang Wang, Ralph Kennel
Robust Sensorless Predictive Control Of Induction Motors With Sliding Mode Voltage Model Observer, Seyed Alireza Davari, Davood Arab Khaburi, Fengxiang Wang, Ralph Kennel
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a robust sliding mode prediction model is combined with a sliding mode voltage model observer to achieve a sensorless predictive torque control method. In order to compensate the uncertainties of the stator and rotor resistances and the offset of measured current, sliding mode feedbacks were added to the voltage model observer. To reduce the effect of the errors that are injected from the observer to the prediction model in the sensorless application, the prediction model was also reinforced by a sliding mode feedback. The feedback gains for the prediction and observer models are assigned by a robustness …