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Journal : IPTEK Journal of Proceedings Series

Self Tuning Sliding Mode Control for Quadrotor Waypoint Tracking Istiqphara, Swadexi; Agustinah, Trihastuti; Fatoni, Ali
IPTEK Journal of Proceedings Series No 1 (2015): 1st International Seminar on Science and Technology (ISST) 2015
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2015i1.1045

Abstract

In this paper, self-tuning sliding mode control is proposed to control quadrotor with mass parameter uncertainty on waypoint trajectory tracking. Parameter uncertainty is one of the factor that cause instability of quadrotor. Self-tuning sliding mode control is used to maintain the stability of quadrotor in this parametric uncertainties condition. The simulation results show that the quadrotor can track the waypoint trajectory in the presence of parameter uncertainty.
Design of Tracking System and Disturbance Rejection using Neural Networks for Autonomous Underwater Vehicle (AUV) Abdul Muis Prasetia; Trihastuti Agustinah; Joko Susila
IPTEK Journal of Proceedings Series No 1 (2015): 1st International Seminar on Science and Technology (ISST) 2015
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2015i1.1141

Abstract

Autonomous Underwater Vehicle (AUV) is under-actuated system with highly nonlinear dynamic and Multi Input Multi Output (MIMO). AUV has stability problem due to external disturbance. These characteristics cause the AUV is difficult to be controlled and to track the reference signal automatically. Based on these problems, this paper present tracking control design and disturbance rejection using Neural Networks for AUV with 6 Degree of Freedom (DOF). The proposed control system is used to generate control signals to overcome the nonlinear dynamics of AUV. The reference signal is processed using Line of Sight (LOS) method to obtain the desired yaw of AUV. Simulation results show that the AUV is able to track the reference signal even in the presence of ocean current disturbance.
Design Fuzzy Disturbance Observer with Neuro-Fuzzy Invers Model for Parallel Hybrid Electric Vehicle Speed Controller Yoga Alif Kurnia Utama; Trihastuti Agustinah; Josaphat Pramudijanto
IPTEK Journal of Proceedings Series No 1 (2015): 1st International Seminar on Science and Technology (ISST) 2015
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2015i1.1051

Abstract

In this paper, fuzzy disturbance observer with neuro-fuzzy invers model is proposed to control speed of parallel hybrid electric vehicle (PHEV) with change in disturbance. Disturbance make unstable speed so that actual speed of PHEV is not equal to reference speed. Fuzzy disturbance observer is used to make actual speed of PHEV is equal to reference speed when disturbance applied on it. The result show that fuzzy disturbance observer can reject the disturbance so that so its speed has more stable .