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All Journal International Journal of Evaluation and Research in Education (IJERE) Transmisi: Jurnal Ilmiah Teknik Elektro GEMA TEKNOLOGI Mechatronics, Electrical Power, and Vehicular Technology TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Informatika INVOTEK: Jurnal Inovasi Vokasional dan Teknologi JTERA (Jurnal Teknologi Rekayasa) Prosiding Seminar Nasional Teknoka Techne : Jurnal Ilmiah Elektroteknika Indonesian Journal of Electrical Engineering and Computer Science JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Industrial Research Workshop and National Seminar Jurnal Rekayasa elektrika
Noor Cholis Basjaruddin
Politeknik Negeri Bandung
Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation Other

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Journal : Mechatronics, Electrical Power, and Vehicular Technology

 1 
Hardware simulation of automatic braking system based on fuzzy logic control Basjaruddin, Noor Cholis; Kuspriyanto, Kuspriyanto; Suhendar, Suhendar; Saefudin, Didin; Azis, Virna Apriani
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 7, No 1 (2016)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (268.928 KB) | DOI: 10.14203/j.mev.2016.v7.1-6

Abstract

In certain situations, a moving or stationary object can be a barrier for a vehicle. People and vehicles crossing could potentially get hit by a vehicle. Objects around roads as sidewalks, road separator, power poles, and railroad gates are also a potential source of danger when the driver is inattentive in driving the vehicle. A device that can help the driver to brake automatically is known as Automatic Braking System (ABS). ABS is a part of the Advanced Driver Assistance Systems (ADAS), which is a device designed to assist the driver in driving the process. This device was developed to reduce human error that is a major cause of traffic accidents. This paper presents the design of ABS based on fuzzy logic which is simulated in hardware by using a remote control car. The inputs of fuzzy logic are the speed and distance of the object in front of the vehicle, while the output of fuzzy logic is the intensity of braking. The test results on the three variations of speed: slow-speed, medium-speed, and high-speed shows that the design of ABS can work according to design.
Penggunaan Extended Kalman Filter Sebagai Estimator Sikap pada Sistem Kendali Servo Visual Robot Basjaruddin, Noor Cholis
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 2, No 1 (2011)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (417.011 KB) | DOI: 10.14203/j.mev.2011.v2.23-30

Abstract

Extended Kalman Filter (EKF) is the non-linear version of Kalman filter and the said filter is usually used in nonlinear state estimation. In this study EKF is applied to process the image features of a single camera mounted on the end effector of a robot. Data generated by the EKF then is to be processed to obtain the motion parameters. Simulation of visual servo control system was built with the aim to examine the use of the EKF as a pose estimator. The simulation results using Matlab show that the EKF is able to well estimate the robot pose. 
Hardware simulation of automatic braking system based on fuzzy logic control Noor Cholis Basjaruddin; Kuspriyanto Kuspriyanto; Suhendar Suhendar; Didin Saefudin; Virna Apriani Azis
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 7, No 1 (2016)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2016.v7.1-6

Abstract

In certain situations, a moving or stationary object can be a barrier for a vehicle. People and vehicles crossing could potentially get hit by a vehicle. Objects around roads as sidewalks, road separator, power poles, and railroad gates are also a potential source of danger when the driver is inattentive in driving the vehicle. A device that can help the driver to brake automatically is known as Automatic Braking System (ABS). ABS is a part of the Advanced Driver Assistance Systems (ADAS), which is a device designed to assist the driver in driving the process. This device was developed to reduce human error that is a major cause of traffic accidents. This paper presents the design of ABS based on fuzzy logic which is simulated in hardware by using a remote control car. The inputs of fuzzy logic are the speed and distance of the object in front of the vehicle, while the output of fuzzy logic is the intensity of braking. The test results on the three variations of speed: slow-speed, medium-speed, and high-speed shows that the design of ABS can work according to design.
Penggunaan Extended Kalman Filter Sebagai Estimator Sikap pada Sistem Kendali Servo Visual Robot Noor Cholis Basjaruddin
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 2, No 1 (2011)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2011.v2.23-30

Abstract

Extended Kalman Filter (EKF) is the non-linear version of Kalman filter and the said filter is usually used in nonlinear state estimation. In this study EKF is applied to process the image features of a single camera mounted on the end effector of a robot. Data generated by the EKF then is to be processed to obtain the motion parameters. Simulation of visual servo control system was built with the aim to examine the use of the EKF as a pose estimator. The simulation results using Matlab show that the EKF is able to well estimate the robot pose. 
Co-Authors Agi Muhammad Ramdani Aldi Lugina Alditama Rachman Anggun Pancawati Arif Rahman Arif Rahman Azis, Virna Apriani Bagenda, Dadan Nurdin Bisma Ferriand Bulan Fatimah Rahmat Danang Aji Pangestu Darwati, Endang Didin Saefudin Didin Saefudin Didin Saefudin Diki Nurul Fajrin Dimas Mulya Putra Dinda Fatihana Dwi Intan Chairunnisa Edi Rakhman Edi Rakhman Edi Rakhman Edi Rakhman Ediana Sutjiredzeki Elisa Hariyanti FENI ISDARYANI Ganda Putra Gumelar Tambunan Hanni Novitasari Tandiari Haura Fikriyah Hakimah Herlan Sutisna, Herlan Irfan Maulana Shidik Ivan Yuda Prasetya KUSPRIYANTO Kuspriyanto Kuspriyanto Mikhael Bagus Renardi Mochammad Rizky Lazuardi Muhammad Nauval Shidiq Muhammad Rafqi Azharfianto Putra, Ganda Rangga Vega Regi Adriana Saputra Richar Fredian Riko Hadiarto Sabar Pramono Suhendar Suhendar Suhendar Suhendar, Suhendar Supriyadi Supriyadi Supriyadi Supriyadi Supriyadi Supriyadi Suyanto Suyanto Suyanto Suyanto Virna Apriani Azis Vito Eka Pramudhita Susanto Yehezkiel Hansel Hendratno Yoga Priyana Yoshiadi Wicaksono Yusup Mulkan