Universiti Teknikal Malaysia Melaka: UTeM Open Journal System
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T-S Controllers For Photovoltaic-Grid Connected System Through DC-DC Boost Converter and Three Phase Inverter
Get PDFCe document présente deux contrôleurs flous TS en ligne pour contrôler l'extraction de puissance optimale et son transfert du système PV via deux convertisseurs statiques vers le réseau public. Le premier contrôleur est appliqué sur le convertisseur élévateur pour calculer, à chaque instant, le rapport cyclique permettant de suivre le point de puissance maximale du panneau sous les variations climatiques et d'atteindre un rendement élevé pour la récolte d'énergie solaire. Alors que le second ajuste les états de commutation des branches de l'onduleur triphasé à deux niveauxtransistors pour un transfert maximal de la puissance active produite par le panneau vers le réseau de distribution avec compensation de puissance réactive lors de l'établissement de la synchronisation.Après présentation de la structure du système de connexion au réseau et modélisation mathématique des convertisseurs côté PV et côté réseau, les contrôleurs flous TS sont détaillés. La synthèse de ces contrôleurs est basée sur la subdivision de l'espace d'états du système non linéaire à contrôler en un ensemble de sous-systèmes linéaires. Pour assurer le rejet des perturbations et garantir la stabilité du contrôleur flou, Le critère et la fonction de stabilité quadratique de Lyapunov sont considérés. Les gains du contrôleur sont calculés en utilisant la solution d'inégalité de matrice linéaire (LMI). Les résultats de la simulation numérique sur l'environnement Matlab-Simulink montrent l'efficacité et les performances des contrôleurs proposés
Characterization Of Major Intersections in Akure, Nigeria
Get PDFThree Tee intersection (RN1, RN2, RN3), and two Cross intersections (RN4, RN5) critical to traffic flow in the study area were selected. Data on geometric features were collected using odometer; while data on critical gap and follow up time were collected with video camera placed at an elevated vantage point from the selected intersections. Average carriageway width of 7.20 m, 7.0 m, and 7.15 m were obtained for RN1, RN3, and RN5 respectively which is less than 7.30 m, specified by the Nigerian Highway Capacity Manual 1976; which reduces the Level of Service (LOS). The operating LOS for the Tee and Cross intersections, were “LOS E” and “LOS F” respectively indicating that travel speeds were substantially restricted and roadway operations were with extreme delays when compared with the standard in Highway Capacity Manual 2000 (HCM 2000). The analysis of the critical gap using logit and Raff methods yielded average values of 7.46 sec, 8.02 sec, and 8.07 sec respectively for RN2, RN3 and RN4 which are higher than the recommended value for left turning in the HCM 2000; indicating that the subject vehicle drivers were conservatives and appeared to choose a gap that were sufficiently long to avoid a collision or major conflict. However, the values of 6.33 sec and 6. 87 sec were obtained for RN1 and RN5 respectively signifying that the drivers were aggressive at the intersections. Intelligent transport systems is recommended for traffic management in the study are
Position Control of IT-Robot manipulator using Multi–Loop FOPID
Get PDFPosition control of the manipulator has been noted for its difficulty as the result of the so-called dynamic stability problem, parameter uncertainty and dynamic coupling. This work focused on position control of the first four degree of freedom (DOF) of IT-Robot manipulator using Fractional Order PID (FOPID) controller that can conquer this difficulty. All procedure description to model of the manipulator and control has been detailed and simulated using MATLAB R2015a/Simulink; from the mechanical model generation in SimMechanic where, the manipulator joint is moved using DC motor. Parameters of FOPID controller are optimized using GA. The controller effectiveness is analyzed for set point tracking. By simulation results, it was observed that FOPID controller give better response with minimum error than PID controller for the position control of the IT-robot manipulator
A Framework of Project-Based Learning for Enhancing Student Competencies through Digital Video Production
Get PDFThis study research was aims to provide a framework, a set of guideline for secondary school pedagogical change. Thus, project-based learning(PBL) is a key to support students more competitive in an external environment. Students produce an educational video based on the topic they are learning. Integrating technology in PBL to enhance student competencies based on education curriculum Malaysia, which consist of communication, collaboration, creation, critical thinking. The data were collected through a questionnaire for 63 respondents. The results show significant positive results in terms of student competencies. PBL framework provides appropriate structure for determining all level of student competencie
A development of mobile-based directory for UCSI University (UCSI Mobiletory)
Get PDFA directory can be known as the board of the organization or locations of certain departments, or certain shop in the context of a shopping mall (Hendriana, Pranolo, Sulaiman, & Fong, 2015). It is important to serves as a guide to people as it can provide locations and information of a mall, especially in the case of a large shopping mall, it is hard to find the directory board (Hendriana, et al., 2015). As the capital of Malaysia, Kuala Lumpur has been constructing many large-scale mall around the city, namely Sunway Pyramid mall, Pavillion mall. Without the implementation of a directory board, people could be lost or taking a lot of times in finding their preferred shop. In the modern society, most of the commerce, business, education and activities are conducted in indoor area. The space needed for these facilities are growing into bigger and buildings are becoming more complex, this has urge the need of localization and mapping services within the buildings. In fact, getting lost in indoors are just as common as getting lost at outdoors. In spite of current outdoor mapping services such as Waze and Google Map that are using satellite technology, a GPS (Global Positioning System) to locate a GPS receiver at the Earth, it cannot provide the same services in indoors. The application was designed to let users search and aware of the information provided to a particular location or facility apart from providing floor plan to them. The methodology used in the system development process is prototyping methodology. The languages involves in the development includes JAVA, PHP and SQL programming language.
Hand Parameters and Walking Stick Design: A Case Study among Elderly Malaysian
Get PDFAccording to the World Bank, in 2015, the elderly population reaches 8.5% of the world's population. This number grows at 0.13% per annum. In Malaysia, the growth reaches 0.2% of this population annually. Assistive tools such as a walking stick to support the elderly people have become necessary. However, much uncertainty still exists about the relation between the walking stick design and the Malaysian elderly. The objectives of the study were to measure hand dimension and hand grip strength of Malaysian elderly and to relate the hand dimension with the walking sticks being used. There were 50 Malaysian elderly participated in this study and three designs of walking stick available in the market were tested. The first design (handle A) was round and padded, the second design (handle B) was rectangular curve and the third design (Handle C) was round curve. Statistical analysis between hand size and hand surface area shows a linear relationship with R2 = 54% and significant with p-value < 0.05. As for the relationship between the contact area of stick handle and hand size, a linear relationship was found with R2 = 53.3% for handle A, R2 = 46.5% for handle B, and R2 = 36.6% for handle C. This study concluded that the walking stick with high contact area provides better grip and comfort
Study of EMG Feature Selection for Hand Motions Classification
Get PDFIn recent days, electromyography(EMG) pattern recognition has becoming one ofthe major interests in rehabilitation area. However, EMG feature set normally consists of relevant, redundant and irrelevant features. To achievehigh classification performance, the selection ofpotential features is critically important. Thus, this paper employs two recent feature selection methods namely competitive binary gray wolfoptimizer (CBGWO) and modified binary treegrowth algorithm (MBTGA) to evaluate the mostinformative EMG feature subset for efficient classification. The experimental results show thatCBGWO and MBTGA are not only improves theclassification performance, but also reduces thenumber of features.Keywords— Electromyography; feature extraction; time domain feature; featureselection; classificatio
Towards An Enhanced Backpropagation Network for Short-Term Load Demand Forecasting
Get PDFArtificial neural networks (ANNs) are ideal for the prediction and classification of non-linear relationships however they are also known for computational intensity and long training times especially when large data sets are used. A two-tiered approach combining data mining algorithms is proposed in order to enhance an artificial neural network’s performance when applied to a phenomenon exhibits predictable changes every calendar year such as that of electrical load demand. This approach is simulated using the French zonal load data for 2016 and 2017. The first tier performs clustering into seasons and classification into day-types. The second tier uses artificial neural networks to forecast 24-hour loads. The first tier results are the focus of this. The K-means algorithm is first applied to the morning slope feature of the data set and a comparison is then made between the Naïve Bayes algorithm and the k-Nearest Neighbors algorithm to determine the better classifier for this particular data set. The first tier results show that calendar-based clustering does not accurately reflect electrical load behavior. The results also show that k-Nearest Neighbors is the better classifier for this particular data set. It is expected that by optimizing the data set and reducing training time, the learning performance of ANN-based short-term load demand forecasting
DRIVER RESPOND TO PRE-COLLISION SCENARIO AT INTERSECTION IN AUTONOMOUS VEHICLE
Get PDFResearch on automation system development is attracting a lot of attention from researchers, automotive industry manufacturers and leading technology brands. This study focus is on SAE level 3, the vehicle steering, accelerator pedal and brake pedal are controlled autonomously. The decrement in controlling vehicle and driving task has the possibility to reduce the road crash resulted in an essential change in driver role from active to passive. The effect of role change leads to decrement of situation awareness and reduce driver abilities to control manual vehicle at the right time and manner. Therefore, research on recognition times in complex and actual situations are critical. The primary purpose was to analyze the driver’s ability to recognize pedestrian, bicycle and vehicle pre-collision at intersection in the automated vehicle. The road conditions were complicated and imitated a real driving scenario. The statistical tools used for analysis were the F-test, t-test and ANOVA method. This finding shows that the subject can instantaneously recognize unintended acceleration at a low velocity and relative velocity in a pre-collision scenario with pedestrian. The implication of these results is in developing an automated vehicle system related to driver recognition. These findings provide insights that can be useful in developing autonomous vehicles
