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All Journal International Journal of Electrical and Computer Engineering Mechatronics, Electrical Power, and Vehicular Technology Jurnal Ilmiah Kursor Jurnal technoscientia Journal of Engineering and Technological Sciences Journal of ICT Research and Applications Jurnal Edukasi dan Penelitian Informatika (JEPIN) Proceeding of the Electrical Engineering Computer Science and Informatics JTRM (Jurnal Teknologi dan Rekayasa Manufaktur) JURNAL TEKNOLOGI TECHNOSCIENTIA Jurnal Nasional Teknik Elektro dan Teknologi Informasi Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Bambang Riyanto Trilaksono
Institut Teknologi Bandung
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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Journal : mechatronics electrical power and vehicular technology

 1 
Obstacle Avoidance Method for a Group of Humanoids Inspired by Social Force Model Sadiyoko, Ali; Trilaksono, Bambang Riyanto; Mutijarsa, Kusprasapta; Adiprawita, Widyawardana
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 6, No 2 (2015)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (873.965 KB) | DOI: 10.14203/j.mev.2015.v6.67-74

Abstract

This paper presents a new formulation for obstacle and collision behavior on a group of humanoid robots that adopts walking behavior of pedestrian crowd. A pedestrian receives position information from the other pedestrians, calculate his movement and then continuing his objective. This capability is defined as socio-dynamic capability of a pedestrian. Pedestrian’s walking behavior in a crowd is an example of a sociodynamics system and known as Social Force Model (SFM). This research is trying to implement the avoidance terms in SFM into robot’s behavior. The aim of the integration of SFM into robot’s behavior is to increase robot’s ability to maintain its safety by avoiding the obstacles and collision with the other robots. The attractive feature of the proposed algorithm is the fact that the behavior of the humanoids will imitate the human’s behavior while avoiding the obstacle. The proposed algorithm combines formation control using Consensus Algorithm (CA) with collision and obstacle avoidance technique using SFM. Simulation and experiment results show the effectiveness of the proposed algorithm.
Nonlinear Dynamic Modeling of a Fixed-Wing Unmanned Aerial Vehicle: a Case Study of Wulung Triputra, Fadjar Rahino; Trilaksono, Bambang Riyanto; Adiono, Trio; Sasongko, Rianto Adhy; Dahsyat, Mohamad
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 6, No 1 (2015)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3378.418 KB) | DOI: 10.14203/j.mev.2015.v6.19-30

Abstract

Developing a nonlinear adaptive control system for a fixed-wing unmanned aerial vehicle (UAV) requires a mathematical representation of the system dynamics analytically as a set of differential equations in the form of a strict-feedback systems. This paper presents a method for modeling a nonlinear flight dynamics of the fixed-wing UAV of BPPT Wulung in any conditions of the flight altitude and airspeed for the first step into designing a nonlinear adaptive controller. The model was formed into 10-DOF differential equations in the form of strict-feedback systems which separates the terms of elevator, aileron, rudder and throttle from the model. The model simulation results show the behavior of the flight dynamics of the Wulung UAV and also prove the compliance with the actual flight test results.
Obstacle Avoidance Method for a Group of Humanoids Inspired by Social Force Model Ali Sadiyoko; Bambang Riyanto Trilaksono; Kusprasapta Mutijarsa; Widyawardana Adiprawita
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 6, No 2 (2015)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2015.v6.67-74

Abstract

This paper presents a new formulation for obstacle and collision behavior on a group of humanoid robots that adopts walking behavior of pedestrian crowd. A pedestrian receives position information from the other pedestrians, calculate his movement and then continuing his objective. This capability is defined as socio-dynamic capability of a pedestrian. Pedestrian’s walking behavior in a crowd is an example of a sociodynamics system and known as Social Force Model (SFM). This research is trying to implement the avoidance terms in SFM into robot’s behavior. The aim of the integration of SFM into robot’s behavior is to increase robot’s ability to maintain its safety by avoiding the obstacles and collision with the other robots. The attractive feature of the proposed algorithm is the fact that the behavior of the humanoids will imitate the human’s behavior while avoiding the obstacle. The proposed algorithm combines formation control using Consensus Algorithm (CA) with collision and obstacle avoidance technique using SFM. Simulation and experiment results show the effectiveness of the proposed algorithm.
Nonlinear Dynamic Modeling of a Fixed-Wing Unmanned Aerial Vehicle: a Case Study of Wulung Fadjar Rahino Triputra; Bambang Riyanto Trilaksono; Trio Adiono; Rianto Adhy Sasongko; Mohamad Dahsyat
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 6, No 1 (2015)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2015.v6.19-30

Abstract

Developing a nonlinear adaptive control system for a fixed-wing unmanned aerial vehicle (UAV) requires a mathematical representation of the system dynamics analytically as a set of differential equations in the form of a strict-feedback systems. This paper presents a method for modeling a nonlinear flight dynamics of the fixed-wing UAV of BPPT Wulung in any conditions of the flight altitude and airspeed for the first step into designing a nonlinear adaptive controller. The model was formed into 10-DOF differential equations in the form of strict-feedback systems which separates the terms of elevator, aileron, rudder and throttle from the model. The model simulation results show the behavior of the flight dynamics of the Wulung UAV and also prove the compliance with the actual flight test results.
Design and application of models reference adaptive control (MRAC) on ball and beam Muhammad Zakiyullah Romdlony; Muhammad Ridho Rosa; Edwin Muhammad Puji Syamsudin; Bambang Riyanto Trilaksono; Agung Surya Wibowo
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 13, No 1 (2022)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2022.v13.15-23

Abstract

This paper presents the implementation of an adaptive control approach to the ball and beam system (BBS). The dynamics of a BBS are non-linear, and in the implementation, the uncertainty of the system's parameters may occur. In this research, the linear state-feedback model reference adaptive control (MRAC) is used to synchronize the states of the BBS with the states of the given reference model. This research investigates the performance of the MRAC method for a linear system that is applied to a non-linear system or BBS. In order to get a faster states convergence response, we define the initial condition of the feedback gains. In addition, the feedback gains are limited to get less oscillation response. The results show the error convergence is improved for the different sets of the sinusoidal reference signal for the MRAC with modified feedback gains. The ball position convergence improvement of MRAC with modified feedback gains for sinusoidal reference with an amplitude of 0.25, 0.5, and 0.75 are 35.1 %, 36 %, and 52.4 %, respectively.
Co-Authors Abdurrahman - Abikarami Anandadiga Adi Trisna Nurwijaya Adit Kurniawan Agung Surya Wibowo Ali Sadiyoko Anandadiga, Abikarami Arief Syaichu Rohman, Arief Syaichu Arief Syaichu-Rohman Arief Syaichu-Rohman Armein Z.R. Langi Arry Akhmad Arman Bambang Bagus Harianto Bomo S. Wibowo Bomo S. Wibowo Budi Rahardjo Dwi H. Widyantoro Dwi Hendratmo Widyantoro E. Aminudin Aziz E. Aminudin Aziz E. Aminudin Aziz Edvin Ramadhan Edvin Ramadhan Edwin Muhammad Puji Syamsudin Eko Marpanaji Enda Esyudha Pratama, Enda Esyudha Fadjar Rahino Triputra Fadjar Rahino Triputra, Fadjar Rahino Fiqqih Faizah Gede Agus Andika Sani Iping Supriana Suwardi Irani Hoeronis Kusprasapta Mutijarsa Lady Silk Moonlight Langi, Armein ZR Masayu L. Khodra Masayu Leylia Khodra Modestus Oliver Asali Mohamad Dahsyat Mohamad Dahsyat, Mohamad Mohammad Dimas Muhammad Adi Khairul Anshary Muhammad Nur Kholish Abdurrazaq Muhammad Ridho Rosa Muhammad Riyansyah Muhammad Zakiyullah Romdlony Nurwijaya, Adi Trisna Pramayudo, Azarya Pratama Budi Wijayanto Rajesri Govindaraju Ramadhan, Edvin Rianto Adhy Sasongko Rianto Adhy Sasongko, Rianto Adhy Rila Mandala Riyansyah, Muhammad Sani, Gede Agus Andika Saripudin Saripudin Seno Adi Putra Tjong Wan Sen Toto Indriyanto Trio Adiono Widyawardana Adiprawita Widyawardana Adiprawita, Widyawardana Wijayanto, Pratama Budi Wrastawa Ridwan