Articles

Found 15 Documents
Search

Optimization of an Intelligent Controller for an Unmanned Underwater Vehicle Faruq, Amrul; Bin Abdullah, Shahrum Shah; Nor Shah, M. Fauzi
TELKOMNIKA Telecommunication, Computing, Electronics and Control Vol 9, No 2: August 2011
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (150.858 KB)

Abstract

Underwater environment poses a difficult challenge for autonomous underwater navigation. A standard problem of underwater vehicles is to maintain it position at a certain depth in order to perform desired operations. An effective controller is required for this purpose and hence the design of a depth controller for an unmanned underwater vehicle is described in this paper. The control algorithm is simulated by using the marine guidance navigation and control simulator. The project shows a radial basis function metamodel can be used to tune the scaling factors of a fuzzy logic controller. By using offline optimization approach, a comparison between genetic algorithm and metamodeling has been done to minimize the integral square error between the set point and the measured depth of the underwater vehicle. The results showed that it is possible to obtain a reasonably good error using metamodeling approach in much a shorter time compared to the genetic algorithm approach.
Performance Comparison of Fuzzy Logic and Proportional-integral for an Electronic Load Controller Irfan, Muhammad; Effendy, Machmud; Alif, Nur; Syafaah, Lailis; Pakaya, Ilham; Faruq, Amrul
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 8, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (468.022 KB) | DOI: 10.11591/ijpeds.v8.i3.pp1176-1183

Abstract

Generally, Electronic Load Control (ELC) used in micro hydro power plant (MHPP) to controls the voltage between consumer load and a dummy load, still detects one parameter voltage or frequency generator only. Whereas in reality, any changes in the load on consumers, generator voltage and frequency also changed. When the consumer load down the electric current will be supplied to the dummy load, amounting to decrease in consumer load. When there is a transfer load, there will be distortion voltage and frequency, thus a special methods to reduce distortions by speeding up the process of transferring the electric load is needed. The proposed of this study is using fuzzy logic algorithm.To realize such a system, a comparison tool model of load control digital electronic fuzzy logic controller (FLC) and Proportional Integrator (PI) is required. This modeling using matlab program to simulate, the simulation result shows that the ELC based  on fuzzy logic controller is better than conventional PI control, it seen from fast response to steady state condition.
Multi-objective Optimization of PID Controller using Pareto-based Surrogate Modeling Algorithm for MIMO Evaporator System Faruq, Amrul; Nor Shah, Mohd Fauzi; Abdullah, Shahrum Shah
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 1: February 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1291.069 KB) | DOI: 10.11591/ijece.v8i1.pp556-565

Abstract

Most control engineering problems are characterized by several objectives, which have to be satisfied simultaneously. Two widely used methods for finding the optimal solution to such problems are aggregating to a single criterion, and using Pareto-optimal solutions. This paper proposed a Pareto-based Surrogate Modeling Algorithm (PSMA) approach using a combination of Surrogate Modeling (SM) optimization and Pareto-optimal solution to find a fixed-gain, discrete-time Proportional Integral Derivative (PID) controller for a Multi Input Multi Output (MIMO) Forced Circulation Evaporator (FCE) process plant. Experimental results show that a multi-objective, PSMA search was able to give a good approximation to the optimum controller parameters in this case. The Non-dominated Sorting Genetic Algorithm II (NSGA-II) method was also used to optimize the controller parameters and as comparison with PSMA.
SOFTWARE DEFINED NETWORKS: A COMPARATIVE STUDY AND QUALITY OF SERVICES EVALUATION Nugroho, Herry Prasetyo; Irfan, Muhammad; Faruq, Amrul
Scientific Journal of Informatics Vol 6, No 2 (2019): November 2019
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v6i2.20585

Abstract

Software-Defined Network (SDN) as architecture network that separates the control and forwarding functions, so that network operators and administrators can configure the networks in a simple and centrally between thousands of devices. This study is designed and evaluate the Quality of Services (QoS) performances between the two networks employed SDN-based architecture and without SDN-based. MinNet as a software emulator used as a data plane in the network Software Define Network. In this study, comparison of the value of the QoS on the network based on Software Defined Network and traditional network during the test run from the source node is investigated. Network testing by using traffic loads. Traffic loads are used starting from 20Mbps-100Mbps. The result is verified that the QoS analysis of the Software-Defined Network architecture performed better than conventional network architectures. The value of the latency delay on the Software Define Network range between 0,019-0,084ms, and with 0% packet loss when addressed the network traffics of 10-100Mbps.
A DESIGN OF ELECTRICAL PERMANENT MAGNET GENERATOR FOR RURAL AREA WIND POWER PLANT Irfan, Muhammad; Azizul Hakim, Ermanu; Suhardi, Diding; Kasan, Nur; Effendy, Machmud; Pakaya, Ilham; Faruq, Amrul
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 9, No 1: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (633.22 KB) | DOI: 10.11591/ijpeds.v9.i1.pp269-275

Abstract

This paper aims to design and simulate an Electrical Permanent Magnet Generator (EPMG) for rural area wind power plant. The generators available in the market mostly are a kind of high speed induction generator which requires high rotational speed and an electricity to generate a magnetic field. In this project, a radial flux generator is designed to have a low speed rotation using permanent magnet type Neodymium Iron Boron (NdFeB). Software used for designing is Finite Element Method (FEM) Magnet software basis. The model also examined with Simulink/Matlab environment. Extensive modifications are applied to get optimum result by changing generator diameter, number of coils, the copper wire diameter, number of poles, and used slots. The simulation results obtained generator speed 500rpm, the average series voltage is 145 Vrms, the generator requires 18cm diameter, number of turn for each coil is 55, diameter of the copper wire used is 0.6mm, and number of poles is 8 pairs and 12 unit slots.
PLC Human Machine-Interfaces Based System for Vietnam Drip Coffee Maker Application Mardiyah, Nur Alif; Sudrajat, Akhmad Hakam; Faruq, Amrul
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 1, February-2018
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1436.908 KB) | DOI: 10.22219/kinetik.v3i1.272

Abstract

The most recent development of digital technology is rapidly growing having a strong impact in daily activities. Automation is a trend in society to make those activities become easier. Moreover, efficiency has played the main role in the automation concept. For example, when making a drink which requires to accurately mix all required ingredients, like sugar, tea, and also coffee, the process may take time. Meanwhile, other more important processes have waited to be carried out. The idea of fasten up these activities may be preferable, exemplified by making an automatic drink maker machine. Moreover, coffee has been popular drink fancied by most people on the society. Hence, due to the high load of the people’s activity, everything is required to be instant and efficient. According to this trend, to provide an efficient, easy, and good management, we need to create an automatic, fast, and accurate system control which can be implemented by using Programmable Logic Controller (PLC) and Human-Machine Interface (HMI). Meanwhile, in this research, Omron PLC and HMI are utilized to build an automatic drink maker device of Vietnamese Drip Coffee designed to resolve the society’s needs of coffee with higher efficiency of serving process. The automatic coffee maker device of Vietnamese Drip Coffee based on PLC and HMI is a device designed to simplify the making process of Vietnamese Drip Coffee in hot condition. This device can be operated by only touching/tapping on its coffee menu choices. The design of this device has the main purpose to operate and test the control system based on PLC and HMI to control and monitoring the automatic process of producing Vietnamese Drip Coffee started from choosing the coffee types until mixing process.
Application Monitoring Design of Water Tank Volume and Clarity System using LabView NI MYRIO Nurdiansyah, Erwin; Hasani, Chasrun; Faruq, Amrul
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 2, No 4, November-2017
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (159.187 KB) | DOI: 10.22219/kinetik.v2i4.206

Abstract

A traditional controlling and measuring system both in home industry and factory have many constraints especially in the field of quality and efficiency. Operators have to control and monitor while the tank is in the water filling mode. Consequently, an effective system is needed to increase the ease in industry operation. In this work, an application design of water volume in tank and clarity system has presented using RF04 ultrasonic sensor to detect water level; furthermore, a turbidity sensor was also employed to detect water clarity. Both of them were controlled by National Instrument (NI) myRIO-1900. NI myRIO was used in this work as a controller having automatic on/off relay module employed to the water tank and integrated with a personal computer as human machine interface system (HMI). NI LabView software used as HMI in this work was also connected to Wi-Fi module to establish a remote monitoring role. As a result, the simulation shows that water level can be measured utilizing ultrasonic sensor as well as turbidity sensor detection for water clarity.
A SIMPLE REAL-TIME ENERGY ANALYTICS MODEL FOR SMART BUILDING USING OPEN IOT PLATFORMS Nasar, Muhammad; Setyawan, Novendra; Faruq, Amrul; Sulistiyowati, Indah
Jurnal Elektronika dan Telekomunikasi Vol 19, No 2 (2019)
Publisher : Indonesian Institute of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v19.83-90

Abstract

Monitoring energy in buildings can ease us to have a better understanding of electricity consumption patterns to support efficiency and avoid potential damages. However, indoor installations are mostly unmonitored because their panel meters are usually difficult to access. Yet, indoor maintenance tends to be more difficult since the cables are inside the wall, ceiling, or concrete. Internet of Things and big data analytics can be used to track electricity usage either in residential, commercial, or industrial buildings. This paper presents how a simple real-time energy data analytics was built at a low cost and high accuracy to inspect energy fluctuations, anomaly, and its significant pattern. We proposed 3 layers of architecture namely acquisition, transportation, and application management. An electronic module named PZEM004T was used to sense voltage, current, and other electrical parameters. Through a microcontroller ESP8266, the data was processed and sent it to an application layer via an existing wireless network. The actual and historical data of electricity were visualized on high-resolution graphs. The experiment was conducted at our office building. The experimental results showed that data of electrical energy usage can be captured close to realtime and power anomaly and pattern can be figured. Performance and functionality testing showed acceptable use of this system with more than 99% accuracy. This system is intended to empower building managers in evaluating the electrical network balance as well as anticipating damage due to overload, overvoltage, and voltage drop. If this model is widely implemented it will produce big data that is useful for advanced analysis.
The use of radial basis function and non-linear autoregressive exogenous neural networks to forecast multi-step ahead of time flood water level Faruq, Amrul; Abdullah, Shahrum Shah; Marto, Aminaton; Abu Bakar, Mohd Anuar; Mohd Hussein, Shamsul Faisal; Che Razali, Che Munira
International Journal of Advances in Intelligent Informatics Vol 5, No 1 (2019): March 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v5i1.280

Abstract

Many different Artificial Neural Networks (ANN) models of flood have been developed for forecast updating. However, the model performance, and error prediction in which forecast outputs are adjusted directly based on models calibrated to the time series of differences between observed and forecast values, are very interesting and challenging task. This paper presents an improved lead time flood forecasting using Non-linear Auto Regressive Exogenous Neural Network (NARXNN), which shows better performance in term of forecast precision and produces minimum error compared to neural network method using Radial Basis Function (RBF) in examined 12-hour ahead of time. First, RBF forecasting model was employed to predict the flood water level of Kelantan River at Kuala Krai, Kelantan, Malaysia. The model is tested for 1-hour and 7-hour ahead of time water level at flood location. The same analysis has also been taken by NARXNN method. Then, a non-linear neural network model with exogenous input promoted with enhancing a forecast lead time to 12-hour. Both about the performance comparison has briefly been analyzed. The result verified the precision of error prediction of the presented flood forecasting model.
Analisis Quality of Services Jaringan VoIP pada VPN menggunakan InterAsteriks Exchange dan Session Initiation Protocol Heriyanto, Agus; Syafaah, Lailis; Faruq, Amrul
Techno.Com Vol 19, No 1 (2020): Februari 2020
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (494.72 KB) | DOI: 10.33633/tc.v19i1.2753

Abstract

Di dalam komunikasi Voice over Internet Protocol (VoIP) mengenal beberapa macam protocol tambahan selain protocol standar internet Transfer Control Protocol/Internet Protocol (TCP/IP), beberapa diantaranya adalah protocol Session Initation Protocol (SIP), Inter-Asterisk eXchange (IAX) dan H.323. Performansi perlu dijaga mengingat VoIP mempunyai kemungkinan melakukan berbagai cara kompresi untuk menciptakan efisiensi saluran dan pemilihan protocol yang tepat. Teknologi VoIP pada dasarnya tidak memiliki jaminan keamanan pada setiap komunikasi. Keamanan ketika melakukan komunikasi suara merupakan sesuatu yang sangat penting karena menyangkut privasi penggunanya. Penggunaan Virtual Private Network (VPN) merupakan salah satu solusi untuk menutup celah keamanan pada kasus di atas. Analisis yang dilakukan pada artikel ini adalah performa yang dihasilkan VoIP yang menggunakan protocol IAX dan SIP. Penelitian ini mengahasilkan kesimpulan bahwa performansi yang paling baik digunakan untuk membangun sistem komunikasi VoIP adalah protocol IAX dengan menggunakan sistem keamanan VPN Point to Point Protocol (PPTP) dikarenakan nilai Quality of Service (QoS)  lebih tinggi daripada protocol SIP dan juga terbukti lebih aman saat diterapkan sistem keamanan Virtual Private Network Point to Point Protocol (VPN PPTP).