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Contact Name
Taufik Hidayat
Contact Email
ijecsultan@gmail.com
Phone
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Journal Mail Official
ijecsultan@gmail.com
Editorial Address
Jl. Nyi Ageng Serang, Kota Baru Keandra, Cirebon, Indonesia
Location
Kab. cirebon,
Jawa barat
INDONESIA
International Journal of Engineering Continuity
Published by Sultan Publisher
ISSN : -     EISSN : 29632390     DOI : https://doi.org/10.58291/ijec
The International Journal of Engineering Continuity is peer-reviewed, open access, and published twice a year online with coverage covering engineering and technology. It aims to promote novelty and contribution followed by the theory and practice of technology and engineering. The expansion of these concerns includes solutions to specific challenges of developing countries and addresses science and technology problems from a multidisciplinary perspective. Published papers will continue to have a high standard of excellence. This is ensured by having every papers examined through strict procedures by members of the international editorial board. The aim is to establish that the submitted paper meets the requirements, especially in the context of proven application-based research work.
Articles 5 Documents
Search results for , issue "Vol. 1 No. 2 (2022): ijec" : 5 Documents clear
Reliability Evaluation of Transformer Oil Insulation with H2O Water and Super O2 Water Contaminants Disaster Mitigation Electrical Engineering Christiono R; Iwa Garniwa; Miftahul Fikri; Andi Amar Thahara
International Journal of Engineering Continuity Vol. 1 No. 2 (2022): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (394.015 KB) | DOI: 10.58291/ijec.v1i2.46

Abstract

Transformer oil insulation failure is one of them that can cause water to penetrate through the mechanical acrylic cap on the OLTC (on load tap changer) which causes contaminants in the transformer insulation oil which affects the reliability of the transformer until there is damage to the transformers widely. For this reason, research was carried out to evaluate the reliability of transformer oil insulation with contaminants of H2O water and Super O2 water. This study is to evaluate the effect of water contaminants with experimental methods using BAUR Oil Tester test equipment, with H2O water and super O2 as samples of water contaminants on transformer oil insulation. According to SPLN 49-1: 1982, the standard value of breakdown voltage in insulating oil is ≥30kV/2.5mm. Then, 1ml of H2O water will be given so that a decrease in the breakdown voltage value of 31.5% is obtained and this experiment is carried out up to 10ml, which means that the more H2O is given, the value of the breakdown voltage is further away from the SPLN standard. Meanwhile, insulating oil contaminated with super O2 water obtained a breakdown voltage of 68% which means that the more super O2 water, the more the reliability of transformer oil insulation decreases, and the breakdown voltage value also decreases which adversely affects the reliability of the transformer.
Attitude Estimation of Four-Rotor UAV Based on Extended Kalman Filter Wang Miao Hui; Michael Thompson
International Journal of Engineering Continuity Vol. 1 No. 2 (2022): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (600.768 KB) | DOI: 10.58291/ijec.v1i2.52

Abstract

Quadrotor unmanned aerial vehicle (UAV) is a typical multi-input multi-output (MIMO), nonlinear and strong coupling underactuated system. In the working process of the system, it is necessary to perform information fusion on the attitude detected by the sensor to achieve accurate measurement of attitude angle and angular velocity. Accurate and efficient measurement of UAV attitude angle is the basis of UAV flight control. In this paper, the extended Kalman filter (EKF) algorithm is used to estimate the attitude information of the four-rotor UAV. Firstly, a four-rotor UAV simulation model is established on Simulink in Matlab, and then the attitude information of the UAV is measured and estimated. The results show that the extended Kalman filter algorithm can effectively estimate the attitude information of UAV.
A Mixed Fast-RRT*-A* To Solve the Problem of Generating Nodes near Obstacles for Optimal Paths Suwoyo, Heru; Alfiani, Raudah
International Journal of Engineering Continuity Vol. 1 No. 2 (2022): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (726.407 KB) | DOI: 10.58291/ijec.v1i2.53

Abstract

In the robot environment with static obstacles, robots designed to avoid obstacles and move from the initial position to the destination position, the consumption of the minimum value and the search for the shortest path as the current research, most of the studies are based on obstacle detection to search for more than one path planning. The path using path planning has two sampling methods based on which by working according to random nodes while searching based on using heuristics to find the path. Fast-RRT*-A* were to optimize a path with fast time intensity. From Fast-RRT* developed with improvement-RRT with optimal fast, namely fast optimal in an unreachable space from random trees introduced for speed and algorithm stability; (2) Random steering is used in expansion to solve performance problems in tight spaces; (3) Path fusion path adjustments are obtained quickly. The results of this study are in the form of a profit map comparing the three PRC algorithms* with a time of 48.6474, A* with a time of 38.7527, and FastRRT*-A* with a time of 10.1411, So these three steps make Fast- RRT*-A*.
Study on USV Cluster Formation Control and Cooperative Obstacle Avoidance Yuan Hsiang Chen; Alex Paul
International Journal of Engineering Continuity Vol. 1 No. 2 (2022): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (913.736 KB) | DOI: 10.58291/ijec.v1i2.54

Abstract

With the deepening of research on unmanned vehicles, research on USV (Unmanned Surface Vehicle) has gradually become extensive. In order to cope with complex Marine operations, the study of USV cluster collaborative operations has been emphasized. Therefore, this paper explores USV cluster formation and collaborative obstacle avoidance. In this paper, a formation control method of USV cluster is proposed based on the leader-follower architecture and the consistency algorithm. To solve the problem of formation cooperative obstacle avoidance, the traditional APF (APF method) is improved to avoid falling into the local optimal, and the cluster cooperative obstacle avoidance method is proposed. Finally, the simulation results show that the USV cluster formation control and obstacle avoidance methods are effective.
The Feasibility of Trajectory Controller by SS Equation of an Error Model in WMR Yang Qev; Mesho Meshach
International Journal of Engineering Continuity Vol. 1 No. 2 (2022): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (363.8 KB) | DOI: 10.58291/ijec.v1i2.55

Abstract

There has been an increasing amount of research on WMRs. The WMRs have lots of advantages: their mechanical system is usually simple; the whole movement mostly contains two dependent motors; and their motions in two-dimensional space are quite adaptable. At the same time, the WMRs have better power efficiency. WMRs have been studied from many points of view, such as modelling control, obstacle avoidance, localization, tip-over stability, and so on. This paper discusses the control algorithm. WMRs have nonholonomic constraints. That is, the mobile robot may not be able to reach a specific position and angle in a specific time; however, the robot can reach the target in a different motion or within a limited time. In this paper, an error model based on the WMR is introduced. The model explains the error between the actual position and the ideal or target position in the continuous motion of WMRs. The error model will be transformed into a state-space equation in order to demonstrate that the algorithm that controls the WMR`s movement is controllable. By splitting the inputs  into  and , the whole equation is transformed into a zero-input state-space system. Then, the errors can be minimized with the optimization of the feedback. The results show that by optimizing the time-varying feedback matrix, the error is asymptotically stable and close to zero. Therefore, by adding this control law to the controller, an approach to making mobile robots follow the planned trajectory is obtained.

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