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All Journal Mechatronics, Electrical Power, and Vehicular Technology Jurnal Algoritma Journal of ICT Research and Applications Omega: Jurnal Fisika dan Pendidikan Fisika JPPPF (Jurnal Penelitian dan Pengembangan Pendidikan Fisika) Momentum: Physics Education Journal Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Systemic: Information System and Informatics Journal TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Jurnal Rupa Journal of Information Systems and Informatics Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pedagogi dan Pembelajaran Journal of Software Engineering, Information and Communication Technology Jurnal Algoritma Makara Journal of Technology Electrician : Jurnal Rekayasa dan Teknologi Elektro International Journal of Applied Research and Sustainable Sciences (IJARSS) Journal of Applied Science and Advanced Engineering SNTE
Ary Setijadi Prihatmanto
School of Electrical Engineering and Informatics, Institut Teknologi Bandung Jalan Ganesha 10, Bandung 40132,
Religion Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Other

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Journal : Mechatronics, Electrical Power, and Vehicular Technology

 1 
Design and implementation of hardware in the loop simulation for electric ducted fan rocket control system using 8-bit microcontroller and real-time open source middleware Yulnandi, Reza Aulia; Machbub, Carmadi; Prihatmanto, Ary Setijadi; Hidayat, Egi Muhammad Idris
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 8, No 1 (2017)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (920.001 KB) | DOI: 10.14203/j.mev.2017.v8.60-69

Abstract

Hardware in the Loop Simulation (HILS) is intended to reduce time and development cost of control system design. HILS systems are mostly built by integrating both controller hardware and simulator software where the software is not an open source. Moreover, implementing HILS by using manufactured system is costly. This paper describes the design and implementation of HILS for Electric Ducted Fan (EDF) rocket by using open-source platform for development with middleware. This middleware system is used to bridge the data flow between controller hardware and simulator software. A low-cost ATMEGA 2560 8-bit microcontroller is used to calculate rocket’s attitude with Direction Cosine Matrix (DCM) algorithm and PID controller is employed to regulate rocket’s dynamics based on desired specifications. X-Plane 10 simulator software is used for generating simulated sensory data. The test results validate that HILS design meets the defined specifications, i.e. angle difference of 0.3 degrees and rise time of 0.149 seconds on pitch angle.
Object Recognition System in Remote Controlled Weapon Station using SIFT and SURF Methods Mirdanies, Midriem; Prihatmanto, Ary Setijadi; Rijanto, Estiko
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 4, No 2 (2013)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2092.691 KB) | DOI: 10.14203/j.mev.2013.v4.99-108

Abstract

Object recognition system using computer vision that is implemented on Remote Controlled Weapon Station (RCWS) is discussed. This system will make it easier to identify and shoot targeted object automatically. Algorithm was created to recognize real time multiple objects using two methods i.e. Scale Invariant Feature Transform (SIFT) and Speeded Up Robust Features (SURF) combined with K-Nearest Neighbors (KNN) and Random Sample Consensus (RANSAC) for verification. The algorithm is designed to improve object detection to be more robust and to minimize the processing time required. Objects are registered on the system consisting of the armored personnel carrier, tanks, bus, sedan, big foot, and police jeep. In addition, object selection can use mouse to shoot another object that has not been registered on the system. Kinectâ„¢ is used to capture RGB images and to find the coordinates x, y, and z of the object. The programming language used is C with visual studio IDE 2010 and opencv libraries. Object recognition program is divided into three parts: 1) reading image from kinectâ„¢ and simulation results, 2) object recognition process, and 3) transfer of the object data to the ballistic computer. Communication between programs is performed using shared memory. The detected object data is sent to the ballistic computer via Local Area Network (LAN) using winsock for ballistic calculation, and then the motor control system moves the direction of the weapon model to the desired object. The experimental results show that the SIFT method is more suitable because more accurate and faster than SURF with the average processing time to detect one object is 430.2 ms, two object is 618.4 ms, three objects is 682.4 ms, and four objects is 756.2 ms. Object recognition program is able to recognize multi-objects and the data of the identified object can be processed by the ballistic computer in realtime.
Design and implementation of hardware in the loop simulation for electric ducted fan rocket control system using 8-bit microcontroller and real-time open source middleware Reza Aulia Yulnandi; Carmadi Machbub; Ary Setijadi Prihatmanto; Egi Muhammad Idris Hidayat
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 8, No 1 (2017)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2017.v8.60-69

Abstract

Hardware in the Loop Simulation (HILS) is intended to reduce time and development cost of control system design. HILS systems are mostly built by integrating both controller hardware and simulator software where the software is not an open source. Moreover, implementing HILS by using manufactured system is costly. This paper describes the design and implementation of HILS for Electric Ducted Fan (EDF) rocket by using open-source platform for development with middleware. This middleware system is used to bridge the data flow between controller hardware and simulator software. A low-cost ATMEGA 2560 8-bit microcontroller is used to calculate rocket’s attitude with Direction Cosine Matrix (DCM) algorithm and PID controller is employed to regulate rocket’s dynamics based on desired specifications. X-Plane 10 simulator software is used for generating simulated sensory data. The test results validate that HILS design meets the defined specifications, i.e. angle difference of 0.3 degrees and rise time of 0.149 seconds on pitch angle.
Object Recognition System in Remote Controlled Weapon Station using SIFT and SURF Methods Midriem Mirdanies; Ary Setijadi Prihatmanto; Estiko Rijanto
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 4, No 2 (2013)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2013.v4.99-108

Abstract

Object recognition system using computer vision that is implemented on Remote Controlled Weapon Station (RCWS) is discussed. This system will make it easier to identify and shoot targeted object automatically. Algorithm was created to recognize real time multiple objects using two methods i.e. Scale Invariant Feature Transform (SIFT) and Speeded Up Robust Features (SURF) combined with K-Nearest Neighbors (KNN) and Random Sample Consensus (RANSAC) for verification. The algorithm is designed to improve object detection to be more robust and to minimize the processing time required. Objects are registered on the system consisting of the armored personnel carrier, tanks, bus, sedan, big foot, and police jeep. In addition, object selection can use mouse to shoot another object that has not been registered on the system. Kinect™ is used to capture RGB images and to find the coordinates x, y, and z of the object. The programming language used is C with visual studio IDE 2010 and opencv libraries. Object recognition program is divided into three parts: 1) reading image from kinect™ and simulation results, 2) object recognition process, and 3) transfer of the object data to the ballistic computer. Communication between programs is performed using shared memory. The detected object data is sent to the ballistic computer via Local Area Network (LAN) using winsock for ballistic calculation, and then the motor control system moves the direction of the weapon model to the desired object. The experimental results show that the SIFT method is more suitable because more accurate and faster than SURF with the average processing time to detect one object is 430.2 ms, two object is 618.4 ms, three objects is 682.4 ms, and four objects is 756.2 ms. Object recognition program is able to recognize multi-objects and the data of the identified object can be processed by the ballistic computer in realtime.
Co-Authors Achmad Furqon Idrus, Achmad Furqon Adi Indrayanto Agus Sukoco Ahmad Luthfi Hadiyanto Andhy Setiawan Arief Syaichu Rohman Carmadi Machbub Carmadi Machbub Carmadi Machbub Dedi Irawadi Dewi Tresnawati DIAN ANGGRAINI Dimitri Mahayana Dwi Puspita Anggraeni Egi Muhammad Idris Hidayat Eko Nugroho Estiko Rijanto Estiko Rijanto Fatma Hamid, Fatma Hamid, Fatma Harnios Arief Hendy Hertiasa I Putu Satwika Ivany Sarief, Ivany Izzuddin, Muhammad Andik Ketut Wikantika Lestari, Nina Lidwina Ayu Andarini, Lidwina Ayu Liliasari , Masayu Leylia Khodra Midriem Mirdanies Midriem Mirdanies Nurjanna Joko Trilaksono Nurman Hariyanto Putra, Risaldi Angga Buana Putro, Haryanto R Reza Aulia Yulnandi Reza Darmakusuma, Reza Rina Ristiana Sahertian, Grace Caroline Saprudin Saprudin Saprudin, Saprudin Supriyanto Supriyanto Supriyanto Tati Latifah Mengko, Tati Latifah Vidya Ikawati, Vidya Wahyudi Wahyudi Widiyarti Widiyarti Yoeni, Indrasary Yomi Guno Yulnandi, Reza Aulia Yusuf, Rahadian