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Sliding mode control design for autonomous surface vehicle motion under the influence of environmental factor Nurhadi, Hendro; Apriliani, Erna; Herlambang, Teguh; Adzkiya, Dieky
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 5: October 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (341.862 KB) | DOI: 10.11591/ijece.v10i5.pp4789-4797

Abstract

Autonomous Surface Vehicle (ASV) is a vehicle that is operated in the water surface without any person in the vehicle. Since there is no person in the ASV, a motion controller is essentially needed. The control system is used to make sure that the water vehicle is moving at the desired speed. In this paper, we use a Touristant ASV with the following specifications: the length is 4 meters, the diameter is 1.625 meters, and the height is 1.027 meters. The main contribution of this paper is applying the Sliding Mode Control system to the Touristant ASV model under the influence of environmental factors. The environmental factors considered in this work are wind speed and wave height. The Touristant ASV model is nonlinear and uses three degree of freedom (DOF), namely surge, sway and yaw. The simulation results show that the performance of the closed-loop system by using the SMC method depends on the environmental factors. If environmental factors are higher, then the resulting error is also higher. The average error difference between those resulted from the simulation without environmental factors and those with the influence of environmental factors is 0.05% for surge, sway and yaw motions.
PRELIMINARY EXPERIMENTAL STUDY ON DESIGNING BALLAST SYSTEM FOR AUTONOMOUS UNDERWATER VEHICLE Herlambang, Teguh; Subchan, Subchan; Nurhadi, Hendro
INTERNATIONAL JOURNAL OF ASRO - STTAL Vol 10 No 1 (2019): International Journal of ASRO
Publisher : Indonesian Naval Technology College - STTAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (424.184 KB)

Abstract

ABSTRACT Unmanned submarine commonly called Autonomous Underwater Vehicle (AUV) is one type of underwater robots used for underwater mapping. AUV is an underwater vehicle capable of automatically moving in water, controlled by humans on vessel. To build AUV is not easy as many components play important roles in the operation of AUV, one of which is active ballast. Calculations on the making and benchmarks of active ballast systems are still very rare. Active ballast is a set of equipment used to fill its tanks with seawater and to empty sea water from the tanks on submarines. These tanks are intended to balance submarines and for active ballast systems on submarines so as to be able to dive and float as needed. In this paper an experimental study was carried out on a tube resembling AUV with both fresh water and sea water to obtain ballast volume in AUV.  Keywords: AUV, Active ballast, Experimental study
ESTIMASI GERAK SURGE, HEAVE DAN PITCH AUTONOMOUS UNDERWATER VEHICLE DENGAN ENSEMBLE KALMAN FILTER (EnKF) Herlambang, Teguh; Subchan, Subchan; Nurhadi, Hendro
Teknika: Engineering and Sains Journal Vol 3, No 1 (2019): Juni 2019
Publisher : Universitas Maarif Hasyim Latif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.3552071

Abstract

Autonomous Underwater Vehicle (AUV) atau wahan air tanpa awak merupakan salah satu jenis robot bawah air yang relatif flexibel untuk eksplorasi bawah laut dan peralatan sistem pertahanan bawah laut. AUV dapat dikendalikan untuk bergerak dengan enam derajat kebebasan (6-DOF). Pengendalian AUV dibagi menjadi dua yaitu kendali kecepatan dan kendali agar mengikuti lintasan yang diinginkan.  Kendali AUV agar mengikuti trajectory yang diinginkan ini biasa disebut dengan sistem navigasi atau Estimasi trajectory.  Pada penelitian ini dikembangkan sistem navigasi untuk gerak menyelam dengan model 3-DOF yaitu gerak surge, heave dan pitch dengan metode Ensemble Kalman Filter (EnKF). Hasil simulasi menunjukkan bahwa metode EnKF dapat digunakan sebagai estimator gerak 3-DOF dengan menghasilkan error 0.011 m/s untuk gerak surge dan 0.009 m/s untuk gerak heave serta 0.004 rad/s untuk gerak pitch, sedangkan error posisi menyelam 0.01 m.
Estimasi Lintasan AUV 3 Dimensi (3D) Dengan Ensemble Kalman Filter Ngatini, Ngatini; Nurhadi, Hendro
INOVTEK Polbeng - Seri Informatika Vol 4, No 1 (2019)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (527.033 KB) | DOI: 10.35314/isi.v4i1.774

Abstract

AUV (Autonomous Underwater Vehicle) merupakan kapal selam tanpa awak yang sistem geraknya dikemudikan (dikendalikan) oleh perangkat komputer. Sistem gerak dari AUV membutuhkan sebuah navigasi dan guidance control yang mampu mengarahkan gerak AUV, sehingga dibutuhkan sebuah estimasi posisi AUV sesuai dengan lintasan yang diberikan. Penelitian ini mengembangkan estimasi posisi dari AUV Segorogeni ITS menggunakan metode atau algoritma Ensemble Kalman Filter (EnKF) karena EnKF mampu mengestimasi persoalan berbentuk model sistem non linier dimana persamaan gerak dari AUV berbentuk non linear. Estimasi posisi dilakukan pada lintasan atau trayektori 3 dimensi (3D) yang dibangun dengan bantuan program Octave. Simulasi menampilkan hasil estimasi posisi AUV menggunakan algoritma EnKF dengan beberapa jumlah ensemble yang berbeda yaitu 50, 100, 200 dan 300 ensemble. Akurasi dari estimasi tersebut diukur dari nilai error hasil estimasi yaitu nilai RMSE (Root Mean Square Error). Hasil simulasi menunjukan rata-rata error estimasi yaitu 0.4 m posisi-x, 0.46 m posisi-y, 0.08 m posisi-z dan 0.1 m error sudut.
OPTIMIZATION OF TOURISTANT ASV WITH JACOBIAN APPROACH Herlambang, Teguh; Adzkiya, Diecky; Nurhadi, Hendro
INTERNATIONAL JOURNAL OF ASRO - STTAL Vol 10 No 2 (2019): International Journal of ASRO
Publisher : Indonesian Naval Technology College - STTAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (276.803 KB)

Abstract

An Autonomous Surface Vehicle (ASV) is an unmanned ship that can automatically navigate itself in watery area. ASV can be utilized as tourism modes, transportation modes, Indonesian military (TNI) fleets or warships. In this paper, the study used a Touristant ASV prototype with a length of 3 meters, a diameter of 1.5 meters, and a height of 1.3 meters. The ASV motion system is a linear model with 3-DOF (surge, sway and yaw), resulted from the linearization of the ASV nonlinear model into a linear model which, then, was optimized as the basis of the navigation and guidance control system. The objective of this paper is to check the controllability and observability of the ASV Touristant linear model. The contribution of this paper is to provide numeric study on the controllability and observability of the model. Keyword: ASV, 3-DOF, linear model, Optimization, Controlable, Observable
Estimasi Gerak Menyelam ITSUNUSA AUV dengan Metode Ensemble Kalman Filter Square Root (EnKF-SR) Herlambang, Teguh; Subchan, Subchan; Nurhadi, Hendro
Prosiding Seminar Nasional Sains dan Teknologi Terapan 2019: Menuju Penerapan Teknologi Terbarukan pada Industri 4.0: Perubahan Industri dan Transformasi P
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (371.327 KB)

Abstract

Autonomous Underwater Vehicle (AUV) merupakan salah satu jenis robot bawah air yang relatif flexibel untuk peralatan sistem pertahanan bawah laut dan eksplorasi sumber daya alam di bawah laut. AUV terdiri dari gerak translasi dan rotasi yan tergabung dalam 6 Degree of Freedom (DOF). Pengendalian AUV dibagi menjadi dua yaitu kendali kecepatan dan kendali agar mengikuti lintasan yang diinginkan. Kendali AUV agar mengikuti trajectory yang diinginkan ini biasa disebut dengan system navigasi atau Estimasi trajectory. Pada penelitian ini dikembangkan sistem navigasi untuk gerak menyelam dengan model 3-DOF yaitu gerak surge, heave dan pitch dengan metode Ensemble Kalman Filter Square Root (EnKF-SR). Hasil simulasi menunjukkan bahwa metode EnKF-SR dapat digunakan sebagai sistem system navigasi 3-DOF dengan menghasilkan error estimasi gerak menyelam untuk surge, heave dan pitch memiliki error yang cukup kecil yaitu 0.02 m/s untuk gerak translasi dan 0.005 rad/s untuk gerak rotasi. Sedangkan error posisi menyelam hanya 0.03 meter atau 3 cm dari lintasan yang ditentukan
SIMULASI DAN EKSPERIMEN KONTROL AUTOMATIC TURRET GUN Tamara, Mohamad Nasyir; Pramujati, Bambang; Nurhadi, Hendro; Pitowarno, Endra
JURNAL ELTEK Vol 16 No 1 (2018): ELTEK Vol 16 No 1
Publisher : P2M Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1410.9 KB) | DOI: 10.33795/eltek.v16i1.82

Abstract

This research presented Active Force Control (AFC) as a control method which is applied to Automatic Turret gun (ATG) in ground combat vehicles This method compares the reference force conducted by actuator with actual force of the mechanical systems that arise due to disturbances. The advantage of AFC method is its ability to handle disturbances effectively without complicated mathematical calculations. The AFC method uses Crude Approximation (CA) in the internal loop controller AFC as inertia matrix estimator as an important part in the control loop.  Simulation without load on the azimuth movement shows PID controller produces the best precision with MSE of 0 degrees while RACAFC and RAC method provide MSE 0.267 degrees. In simulation on the elevation movement, the RAC method showed the best results with an estimated MSE of the targets shot of 2.42 degrees, while the PID and RACAFC method are 2.5 and 2.46 degrees. When simulation is conducted with additional load RACAFC method gives the best precision with a MSE of 0.267 and 2:46 degrees, while the PID method was 4.24 and the 10.52 degrees. RAC method produces MSE of 0.7 and 2.87 degrees. With the added load the performance of PID controller decreases. In the experiment on the constructed rig, RAC and RACAFC scheme produce smoother movement trajectory and minimum oscillation compared to the PID controller. In loaded conditions these methods are able to maintain their performance. However, these three methods can still achieve a reference point with or without load in the end of travel time