detailkolabprosiding

No	Nama	Judul	Publikasi	Tahun	Detail
1	ILMIRRIZKI IMADUDDIN, M.T	Identification Of Automatic Guided Vehicle (Agv) Based On Magnetic Guided Sensor For Industrial Material Transfer	Terindek	2021	Detail Penelitian Kolaborasi Prosiding Judul Identification Of Automatic Guided Vehicle (Agv) Based On Magnetic Guided Sensor For Industrial Material Transfer Jenis Publikasi Terindek Peringkat Teknik Elektro Ketua Peneliti ILMIRRIZKI IMADUDDIN, M.T Nomer Prosiding 10 Anggota Peneliti Abstrak Automatic Guided Vehicle (AGV) is a material transfer tool that is now widely used in the industry. One of the advantages is that it can transfer material automatically without the need for an operator who has to drive it. AGV using a magnetic guided sensor is one of the most widely used types. So that the tool can run according to the planned trajectory, it is necessary to design a controller that matches its characteristics. The design of the controller is needed identification of the model of the plant to know the characteristics of the plant. Identification with the Extended Least Square method is a form of parameter estimation recursively through a quadratic error gradient formulation with a criterion function involving all errors. The structural approach model used linearly uses Auto-Regressive eXogenous (ARX) and Auto-Regressive Moving Average eXogenous (ARMAX). The validation process of the model uses the Means Square Error (MSE) criteria and the FIT percentage. Based on the results obtained by the best plant with ARMAX model structure with MSE values 82.14 and percentage of FIT value 89.98%.

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