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Hasil Pencarian

Ditemukan 3 dokumen yang sesuai dengan query
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Andi Adriansyah
Wall-following behavior-based mobile robot using particle swarm fuzzy controller./ Andi Adriansyah, Shamsudin H. Mohd. Amin
" Behavior-based control architecture has been broadly recognized due to their compentence in mobile robot development. Fuzzy logic system characteristics are appropriate to address the behavior design problems. Nevertheless, there are problems encountered when setting fuzzy variables manually. Consequently, most of the efforts in the field, produce certain works for the study of fuzzy systems with added learning abilities. This paper presents the improvement of fuzzy behavior-based control architecture using Particle Swarm Optimization (PSO). A wall-following ... "
Universitas Mercu Buana, Departement of Electrical Engineering, Faculty of Engineering, 2016
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Artikel Jurnal  Universitas Indonesia Library
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Harland Fitriadi Amin
Soft driving mobile robot dengan kompensasi kecepatan = Soft driving mobile robot with velocity compensation
" Tujuan dari skripsi ini untuk merancang metode kompensasi untuk mengurangi sentakan yang terjadi pada saat robot bergerak di lintasannya. Sensor accelerometer digunakan untuk membaca percepatan selama robot bergerak. Pada saat percepatan meningkat dalam waktu singkat, terjadi efek sentakan. Efek dari sentakan ini adalah gerakan robot terlihat tidak halus. Untuk tujuan itu dirancang suatu metode dan diujikan dengan lintasan lurus dan berbelok-belok. Strategi yang di usulkan adalah dengan metode kompensasi waktu,yaitu dengan memperlama waktu tempuh robot, ... "
Depok: Fakultas Teknik Universitas Indonesia, 2013
S45165
UI - Skripsi Membership  Universitas Indonesia Library
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Osama Elshazly
Dynamic based control of a skid steering mobile robot./ Osama Elshazly, Hossam S. Abbas, Zakarya Zyada
" In this paper, development of a reduced order, augmented dynamics-drive model that combines both the dynamics and drive subsystems of the skid steering mobile robot (SSMR) is presented. A Linear Quadratic Regulator (LQR) control algorithm with feed-forward compensation of the disturbances part included in the reduced order augmented dynamics-drive model is designed. The proposed controller has many advantages such as its simplicity in terms of design and implementation in comparison with complex nonlinear control schemes ... "
Egypt-Japan University of Science and Technology, 1Mechatronics and Robotics Eng. Dept, 2016
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Artikel Jurnal  Universitas Indonesia Library