DESIGN AND IMPLEMENTATION OF NON LINEAR CONTROLLER WITH PHYSICS INFORMED NEURAL NETWORK APPROACH FOR GANTRY CRANE PROTOTYPE

DESIGN AND IMPLEMENTATION OF NON LINEAR CONTROLLER WITH PHYSICS INFORMED NEURAL NETWORK APPROACH FOR GANTRY CRANE PROTOTYPE

The cargo handling and logistics industry experiences a high rate of activity. Gantry cranes are essential instruments in the container loading and unloading processes at ports. However, gantry crane control often faces challenges when dealing with changes in system parameters and unexpected environ...

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Main Author: Ash Shiddieqy, Shabri
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/83873
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:83873
spelling id-itb.:838732024-08-13T10:53:13ZDESIGN AND IMPLEMENTATION OF NON LINEAR CONTROLLER WITH PHYSICS INFORMED NEURAL NETWORK APPROACH FOR GANTRY CRANE PROTOTYPE Ash Shiddieqy, Shabri Indonesia Final Project PINN IDA-PBC, Non-linear control, gantry crane INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/83873 The cargo handling and logistics industry experiences a high rate of activity. Gantry cranes are essential instruments in the container loading and unloading processes at ports. However, gantry crane control often faces challenges when dealing with changes in system parameters and unexpected environmental disturbances. This research examines the application of non-linear control using the Physics Informed Neural Network (PINN) method, where the control law model is created using the Interconnection Damping Assignment-Passivity Based Control (IDA-PBC) algorithm. This control system was tested through simulation and direct implementation on a gantry crane prototype. The Proportional Integral Derivative (PID) controller was used as a performance comparison for the control system. The result of this research shows that PINN controller have advantage in minimizing sway with root mean square 1,9 degree compared to PID with rms sway 2,6 degree. Keywords: PINN IDA-PBC, Non-linear control, gantry crane text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description The cargo handling and logistics industry experiences a high rate of activity. Gantry cranes are essential instruments in the container loading and unloading processes at ports. However, gantry crane control often faces challenges when dealing with changes in system parameters and unexpected environmental disturbances. This research examines the application of non-linear control using the Physics Informed Neural Network (PINN) method, where the control law model is created using the Interconnection Damping Assignment-Passivity Based Control (IDA-PBC) algorithm. This control system was tested through simulation and direct implementation on a gantry crane prototype. The Proportional Integral Derivative (PID) controller was used as a performance comparison for the control system. The result of this research shows that PINN controller have advantage in minimizing sway with root mean square 1,9 degree compared to PID with rms sway 2,6 degree. Keywords: PINN IDA-PBC, Non-linear control, gantry crane
format Final Project
author Ash Shiddieqy, Shabri
spellingShingle Ash Shiddieqy, Shabri
DESIGN AND IMPLEMENTATION OF NON LINEAR CONTROLLER WITH PHYSICS INFORMED NEURAL NETWORK APPROACH FOR GANTRY CRANE PROTOTYPE
author_facet Ash Shiddieqy, Shabri
author_sort Ash Shiddieqy, Shabri
title DESIGN AND IMPLEMENTATION OF NON LINEAR CONTROLLER WITH PHYSICS INFORMED NEURAL NETWORK APPROACH FOR GANTRY CRANE PROTOTYPE
title_short DESIGN AND IMPLEMENTATION OF NON LINEAR CONTROLLER WITH PHYSICS INFORMED NEURAL NETWORK APPROACH FOR GANTRY CRANE PROTOTYPE
title_full DESIGN AND IMPLEMENTATION OF NON LINEAR CONTROLLER WITH PHYSICS INFORMED NEURAL NETWORK APPROACH FOR GANTRY CRANE PROTOTYPE
title_fullStr DESIGN AND IMPLEMENTATION OF NON LINEAR CONTROLLER WITH PHYSICS INFORMED NEURAL NETWORK APPROACH FOR GANTRY CRANE PROTOTYPE
title_full_unstemmed DESIGN AND IMPLEMENTATION OF NON LINEAR CONTROLLER WITH PHYSICS INFORMED NEURAL NETWORK APPROACH FOR GANTRY CRANE PROTOTYPE
title_sort design and implementation of non linear controller with physics informed neural network approach for gantry crane prototype
url https://digilib.itb.ac.id/gdl/view/83873
_version_ 1822282652805234688

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