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31,456 Article Results

Three-phase five-level CHB inverter fed induction motor for renewable applications

10.11591/ijpeds.v11.i3.pp1145-1152
G. V. V. Nagaraju , G. Sambasiva Rao
This paper presents the three-phase CHB inverter fed induction motor suitable for renewable energy source applications. Normally, all present existing multilevel inverters produce multilevel output, but the number of components required is more, bulk in size, more in cost. Which are more burdens to small capacity renewable sources. These challenges are eliminated in CHB inverter. This CHB mainly consisting of one DC source, one capacitor and eight switches in each phase. To generate a five-level output in phase to ground voltage, it is required to maintain the capacitor voltage (V2) at fifty percent of the DC source voltage (V1). This capacitor voltage is regulated by a sensor less voltage regulating technique. The sensor less voltage regulation works without any sensor devices. We can implement this technique with very less cost compared to other techniques. The sensor less voltage regulation is realized by level-shifted sinusoidal pulse width modulation. The simulation results show a very good dynamic performance. Controller maintains the capacitor voltage at fifty percent of the source voltage irrespective of main source voltage changes and load changes. Inverter generates a five-level wave at the output from line to ground and seven-level wave from line to line with fewer Harmonic. It is implemented in matlab/simulink and showing good dynamic performance.
Volume: 11
Issue: 3
Page: 1145-1152
Publish at: 2020-09-01

Fuzzy time series forecasting in determining inventory policy for a small medium enterprise (SME) company

10.11591/ijeecs.v19.i3.pp1654-1660
S.Sarifah Radiah Shariff , Nurul Nadiah Abdul Halim , Siti Meriam Zahari , Zuraidah Derasit
Fuzzy time series models have been widely used to handle forecasting problems, such as forecasting consumer demand and production volume. It is of greater benefits if we have good forecasting accuracy rates especially in managing inventory in a Small and Medium Enterprise (SME) company.  This study focuses on multiple products with single production line.  The aims of this study are to propose the appropriate the forecasting method for the products, to develop new inventory policy that minimizes the total inventory cost for the company.  Simple forecasting methods like trend line, three month moving average (MA (3) and fuzzy time series forecasting are used in this study.  The result shows that fuzzy time series forecasting model is suitable to be used in forecasting future demand for all products.  The proposed inventory policy is based on the number of cycle per year and the number of production for each product has helped the company to minimize total inventory cost and schedule the production process accordingly.  The proposed inventory policy resulted in lower total inventory cost when compared to current practice. 
Volume: 19
Issue: 3
Page: 1654-1660
Publish at: 2020-09-01

Sensorless dual axis solar tracker using improved sun position algorithm

10.11591/ijpeds.v11.i3.pp1305-1312
Chan Men Loon , Muhamad Zalani Daud
This paper presents development of a prototype sensorless dual axis solar tracker for maximum extraction of solar energy. To prove the concept and evaluate the proposed algorithm, a low cost widely availabe materials were used which was programmed based on Arduino microcontroller. The porposed algorithm works based on two search methods namely the global search that approximates the best point location in a region, and local search that further determines the actual sun’s position. Experimental results showed that the proposed algorithm gives better performance compared to the existing sun position algorithm (SPA) - based method as well as the fixed panel system. In terms of total output power, the proposed algorithm gives 17.96% more efficient than the fixed system and 6.38% better than the SPA-based system. Furthermore, the percentage error of the experimental measured angle to the actual sun azimuth angle was relatively minimal (less than 3%) during clear day operation. The system was proven to be effective in tracking the sun for improved energy production of solar PV panels and the proposed algorithm also can be used for designing the tracker with larger size of solar PV systems.
Volume: 11
Issue: 3
Page: 1305-1312
Publish at: 2020-09-01

Survey on computational intelligence based image encryption techniques

10.11591/ijeecs.v19.i3.pp1428-1435
Thirumalaimuthu Ramanathan , Md. Jakir Hossen , Md. Shohel Sayeed , Joseph Emerson Raja
Image encryption is an important area in visual cryptography that helps in protecting images when shared through internet. There is lot of cryptography algorithms applied for many years in encrypting images. In the recent years, artificial intelligence techniques are combined with cryptography algorithms to support image encryption. Some of the benefits that artificial intelligence techniques can provide are prediction of possible attacks on cryptosystem using machine learning algorithms, generation of cryptographic keys using optimization algorithms, etc. Computational intelligence algorithms are popular in enhancing security for image encryption. The main computational intelligence algorithms used in image encryption are neural network, fuzzy logic and genetic algorithm. In this paper, a review is done on computational intelligence-based image encryption methods that have been proposed in the recent years and the comparison is made on those methods based on their performance on image encryption.
Volume: 19
Issue: 3
Page: 1428-1435
Publish at: 2020-09-01

Review of fast square root calculation methods for fixed point microcontroller-based control systems of power electronics

10.11591/ijpeds.v11.i3.pp1153-1164
Anton Dianov , Aleksey Anuchin
Square root calculation is a widely used task in real-time control systems especially in those, which control power electronics: motors drives, power converters, power factor correctors, etc. At the same time calculation of square roots is a bottle-neck in the optimization of code execution time. Taking into account that for many applications approximate calculation of a square root is enough, calculation time can be decreased with the price of precision of calculation. This paper analyses existing methods for fast square root calculation, which can be implemented for fixed point microcontrollers. It discusses algorithms’ pros and cons, analyses calculation errors and gives some recommendations on their use. The paper also proposes an original method for fast square root calculation, which does not use hardware acceleration and therefore, is suitable for implementation at a variety of modern Digital Signal Processors, which have high-speed hardware multipliers, but do not have effective dividers. The maximum relative error of the proposed method is 3.36% for calculation without division, and can be decreased to 0.055% using one division operation. Finally, the most promising methods are compared and results of their performance comparisons are depicted in tables. 
Volume: 11
Issue: 3
Page: 1153-1164
Publish at: 2020-09-01

Development and analysis of VAWT offgrid in ducting system

10.11591/ijpeds.v11.i3.pp1298-1304
Irni Hamiza Hamzah , M. H. Roslan , A. A. Malik , N. W. M. Saad , A. F. A. Rahim
Horizontal Axis Wind Turbine (HAWT) had been widely used in Malaysia, however, research concluded that the power produced is still low which approximately 0.02% from the wind turbine input is. The average wind speed in Penang, Malaysia, is recorded between 1.0 m/s to 2.5 m/s whereby to produce 2.7 kW of power by HAWT, 12.0 m/s of average wind speed is needed. Therefore, the main objective in this project is to develop and analyse the suitability on the Vertical Axis Wind Turbine (VAWT) to be used for power generation with the wind speed in between 0.5 m/s to 3.0 m/s. Ducting system is chosen rather than the open air since commercial buildings used Heat Ventilation Air Conditioning (HVAC) system. Arduino microcontroller and LabVIEW is used as interfaced to setup two types of sensors that is temperature sensor and anemometer.
Volume: 11
Issue: 3
Page: 1298-1304
Publish at: 2020-09-01

3D model retrieval using MeshSIFT descriptor and fuzzy C-means clustering

10.11591/ijeecs.v19.i3.pp1452-1460
Najlaa Abd Hamza , Shatha Habeeb Jafer , Raghad Mohammed Hadi
A huge number of three-dimensional models exists on the internet, due to the fact that there are now more three-dimensional modelling and digitizing tools available for ever-increasing applications. The procedures for retrieval of three-dimensional models have thus become even more essential. The subject of this paper is a shape retrieval of 3D models that are signified as triangle meshes. We propose a new method which first computes the descriptor of 3D models through extracting its features, and then divides a model into clusters depending on a descriptor which is invariant to scale and orientation. A Fuzzy C-means clustering method is utilized for dividing the model into clusters. The superior performance and benefits of our method are shown in the results.
Volume: 19
Issue: 3
Page: 1452-1460
Publish at: 2020-09-01

Point forecasts of mortality rates in Malaysia: a comparison of principal component methods

10.11591/ijeecs.v19.i3.pp1661-1669
Wan Zakiyatussariroh Wan Husin , Nazatul Shahreen Zainal Abidin
The problem of forecasting mortality has been widely discussed and is being considered as an important issue among actuaries and demographers. Using age and sex-specific mortality data in Malaysia, we compare and evaluate the point forecast accuracy of six principal component methods.  These six methods are the lee-carter (LC) method, the unadjusted LC method (LCnone), the lee-miller (LM) variant, the booth-mandonald-smith variant (BMS) and the two versions of the hyndman-ullah (HU). The overall performance of all methods was evaluated using out-sample forecasts based on the six error measures of three different data spanning with three different step-ahead forecasts. The data set consists of annual age-specific death rates (ASDR) for 17 age groups for both genders for the years 1980 to 2011.  Results show that when the fitted period is longer, the LM method exhibits a better fit in Malaysia male ASDR and the HU6 method attains a better fit in Malaysia female ASDR. When the fitted period becomes shorter, the BMS method outperforms for male and HU1 for female ASDR. However, for overall performance, the LM method consistently outperforms others for Malaysia male ASDR and the LM and HU methods are the best good of fit for Malaysia ASDR.
Volume: 19
Issue: 3
Page: 1661-1669
Publish at: 2020-09-01

Study and analysis the effect of variable applied voltage on SCIM performances based on FEA

10.11591/ijpeds.v11.i3.pp1230-1240
Waleed Khalid Shakir Al-Jubori , Yasir Abdulhafedh Ahmed
Study and analysis the effect of variable applied voltage on SCIM performances based on FEA is presented. Three phase squirrel cage induction motor SCIM has been investigated and numerically simulated using finite element method (FEM) with the aid of ANSYS software (RMxprt and Maxwell 2D/3D). This research presents study and analysis of the effects of the voltage variation on performance and efficiency of the three-phase induction motor of the squirrel cage type. The Finite Elements Analysis Method FEA is used as one of the best methods for analysis and simulation of electrical motors in addition to the possibility of dealing with nonlinear equations, Since the induction motor is a complex electromagnetic reaction, the researchers used the ANSYS program to represent and analyze the performance of the motor under variable supply voltage. The case studied in this research is three phases, 380V, 50Hz, 2.2kW, induction motor that widely use in industrial application. The aim of this research is to study the effect of voltage variation on efficiency, current value, power factor and torque of SCIM.  The RMxprt software has been used for modeling and simulating the induction motor and calculating the values of phases currents, input and output power in additional of overall efficiency at steady state condition. The next stage of the research is creating Maxwell 2-D design from the base model of RMxprt software, Maxwell 2-D model has the ability to computing the distribution of magnetic field and explaining the performance under steady-state operation. The obtained results show significant reduction of motor performance due to the effect of variation of apply voltage.
Volume: 11
Issue: 3
Page: 1230-1240
Publish at: 2020-09-01

Optimal extraction of photovoltaic energy using fuzzy logic control for maximum power point tracking technique

10.11591/ijpeds.v11.i3.pp1628-1639
Kadhim Hamzah Chalok , Mohammad Faridun Naim Tajuddin , Thanikanti Sudhakar Babu , Shahrin Md Ayob , Tole Sutikno
In photovoltaic (PV) systems, maximum power point tracking (MPPT) techniques are used to track the maximum power from the PV array under the change in irradiance and temperature conditions. The perturb and observe (P&O) is one of the most widely used MPPT techniques in recent times due to its simple implementation and improved performance. However, the P&O has limitations such as oscillation around the MPP during which time the P&O algorithm will become confused due to rapidly changing atmospheric conditions. To overcome the above limitation, this paper uses the fuzzy logic controller (FLC) to track the maximum power from the PV system under different irradiance, integrates it with a DC-DC boost converter as a tracker. The result of the FLC performance is compared with the traditional P&O method and shows the MPPT algorithm based on FLC ensures continuous tracking of the maximum power within a short period compared with the traditional P&O method. Besides that, the proposed method (FLC) has a faster dynamic response and low oscillations at the operating point around the MPP under steady-state conditions and dynamic change in irradiance.
Volume: 11
Issue: 3
Page: 1628-1639
Publish at: 2020-09-01

Design and analysis of a novel quasi Z source based asymmetric multilevel inverter for PV applications

10.11591/ijpeds.v11.i3.pp1368-1378
Deepa Sankar , C. A. Babu
A novel Quasi Z source (QZS) based Asymmetric Multilevel Inverter for Photovoltaic application is proposed in this paper. It consists of an Impedance source-based dc-dc converter and Asymmetric Multilevel Inverter (AMLI). QZS network can buck/boost the input DC voltage eliminating separate DC-DC boost converter. MLI topology with reduced switches and DC input provide high quality output with large levels. DC input magnitude of the inverter is based on an algorithm. The system ensures high voltage gain, low switching stress, lessened gate circuitry, high reliability and better harmonic profile. Low THD values ensures reduced filter size and hence cost. The theoretical concepts and parameter design of the proposed topology is illustrated in detail. The performance analysis is verified using Matlab/Simulink environment.
Volume: 11
Issue: 3
Page: 1368-1378
Publish at: 2020-09-01

Comparison of CNNs and SVM for voice control wheelchair

10.11591/ijai.v9.i3.pp387-393
Mohammad Shahrul Izham Sharifuddin , Sharifalillah Nordin , Azliza Mohd Ali
In this paper, we develop an intelligent wheelchair using CNNs and SVM voice recognition methods. The data is collected from Google and some of them are self-recorded. There are four types of data to be recognized which are go, left, right, and stop. Voice data are extracted using MFCC feature extraction technique. CNNs and SVM are then used to classify and recognize the voice data. The motor driver is embedded in Raspberry PI 3B+  to control the movement of the wheelchair prototype. CNNs produced higher accuracy i.e. 95.30% compared to SVM which is only 72.39%. On the other hand, SVM only took 8.21 seconds while CNNs took 250.03 seconds to execute. Therefore, CNNs produce better result because noise are filtered in the feature extraction layer before classified in the classification layer. However, CNNs took longer time due to the complexity of the networks and the less complexity implementation in SVM give shorter processing time.
Volume: 9
Issue: 3
Page: 387-393
Publish at: 2020-09-01

Harmonic minimization of a single-phase asymmetrical TCHB multilevel inverter based on nearest level control method

10.11591/ijpeds.v11.i3.pp1406-1414
Wail Ali Ali Saleh , Nurul Ain Mohd Said , Wahidah Abd Halim
Multilevel inverters are gaining special interest among researchers and in the industry due to their widespread applications and numerous merits. Obtaining high quality, more reliable output while using a reduced number of electronic components is the main purpose of most of the research conducted in this area of study. The purpose of this study is to apply the nearest level control (NLC) method to a 13-level transistor-clamped H-bridge (TCHB) inverter with unequal DC voltage supplies. The NLC method operates at the fundamental frequency, thus reducing switching losses, and can reduce the harmonic content significantly. The adopted multilevel inverter consists of two TCHB cells supplied with two asymmetrical DC input sources with a voltage ratio of 1:2. This structure reduces the number of electronic components, and the asymmetry in the DC input voltages results in a higher number of levels. The adopted topology and its proposed control method were simulated in Matlab/Simulink, and the simulation results were verified through experiments using an Altera field-programmable gate array (FPGA) board. The results showed that the topology and its control method are efficient in obtaining a high-quality output with an improved total harmonic distortion (THD).
Volume: 11
Issue: 3
Page: 1406-1414
Publish at: 2020-09-01

Finite frequency H∞ control for wind turbine systems in T-S form

10.11591/ijpeds.v11.i3.pp1313-1322
Salma Aboulem , Abderrahim EL-Amrani , Ismail Boumhidi
In this work, we study H∞ control wind turbine fuzzy model for finite frequency(FF) interval. Less conservative results are obtained by using Finsler’s lemma technique, generalized Kalman Yakubovich Popov (gKYP), linear matrix inequality (LMI) approach and added several separate parameters, these conditions are given in terms of LMI which can be efficiently solved numerically for the problem that such fuzzy systems are admissible with H∞ disturbance attenuation level. The FF H∞ performance approach allows the state feedback command in a specific interval, the simulation example is given to validate our results.
Volume: 11
Issue: 3
Page: 1313-1322
Publish at: 2020-09-01

Real power loss reduction by hyena optimizer algorithm

10.11591/ijaas.v9.i3.pp186-191
Lenin Kanagasabai
To solve optimal reactive power problem this paper projects Hyena Optimizer (HO) algorithm and it inspired from the behaviour of Hyena. Collaborative behaviour & Social relationship between Hyenas is the key conception in this algorithm. Hyenas a form of carnivoran mammal & deeds are analogous to canines in several elements of convergent evolution. Hyenas catch the prey with their teeth rather than claws – possess hardened skin feet with large, blunt, no retractable claws are adapted for running and make sharp turns. However, the hyenas' grooming, scent marking, defecating habits, mating and parental behaviour are constant with the deeds of other feliforms. Mathematical modelling is formulated for the basic attributes of Hyena. Standard IEEE 14,300 bus test systems used to analyze the performance of Hyena Optimizer (HO) algorithm. Loss has been reduced with control variables are within the limits.
Volume: 9
Issue: 3
Page: 186-191
Publish at: 2020-09-01
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