Identification of Flip Folder Model on Folding Machine

Pambudi, Wahyu Setyo; Zuliari, Efrita Arfah; Firmansyah, Riza; Prabowo, Yuliyanto Agung; Syaifurrizal, A

doi:10.1088/1757-899x/462/1/012009

Cited by 4 publications

(5 citation statements)

References 1 publication

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“…Based on the response of control simulation, the flip folder model has a time constant response () = 0.510s, rise time = 1.501s, settling time = 1.5320s and delay time = 0.353s. The flip folder model is achieved using stochastic approximation called ARX [14]. While implementing Fuzzy-PD control in folding machines, 5 flip folders might be moved alternately.…”

Section: Discussionmentioning

confidence: 99%

“…In fuzzy control, there is a rule evaluation function to produce output values as listed in Table 1 The first stage of testing performance of Fuzzy-PD control on a folding machine involves examining a Fuzzy-PD simulation approach using a folding machine model with ARX approach. The plant parameters are collected through measuring input and output data in offline mode [14]. Based on the ARX process, a folding machine model is obtained, as shown in equation 1 and simulated using Fuzzy PD control.…”

Section: Fig 3 Block Control Of Folding Machinementioning

confidence: 99%

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An Implementation of Fuzzy PD Control Design for Five Flip Folders Folding Machine Using Arduino Mega2560

Pambudi

Zuliari

Firmansyah

et al. 2019

Int. J. Art. Intell. Research

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The arm manipulator application that has 1 degree of freedom (DOF) can be used to flip folders in folding machines. The used actuator in folding machine is a Brushed DC motor. The Fuzzy-PD control system in this application is using Arduino Mega2560 microcontroller. Application of Fuzzy-PD control system on folding machine is able to move 5 flip folders. This Fuzzy-PD control system is able to improve the system response when there is a load, where the difference is only 7.73% from the no load condition. In addition, to implement this flip folder, a stochastic based method (ARX) is also applied on this system so it can be simulated directly. The simulation results from this folding machine model have a time constant of 0.510s, rise time of 1.501s, settling time of 1.5320s and delay time of 0.353s.

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Section: Discussionmentioning

confidence: 99%

Section: Fig 3 Block Control Of Folding Machinementioning

confidence: 99%

An Implementation of Fuzzy PD Control Design for Five Flip Folders Folding Machine Using Arduino Mega2560

Pambudi

Zuliari

Firmansyah

et al. 2019

Int. J. Art. Intell. Research

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show abstract

“…In this study, the tool consists of 5 flip folders that will be arranged in such a way that they will form a fold of clothing. Each flip folder has a different size and angle of deflection [12]. Figure 1 shows the composition of the flip folder consisting of 5 pieces, i.e., A, B, C, D, E, and one of the deflection angles of the flip folder when forming a value of 30o.…”

Section: A Folding Machinementioning

confidence: 99%

“…The model derived from the structure of a mathematical model following the design. The flip folder modeling process has been designed with the structure of the ARX (Autoregressive eXogenous) model using the Extended Least Square identification method using offline data [12]. The form of the model obtained using a linear approach second-order system.…”

Section: Introductionmentioning

confidence: 99%

“…Based on research on the folding folder folding machine that has been done using a linear identification approach with the structure of the ARX model [12]. The author will use a nonlinear approach identification method to obtain the actual model especially when conditions are burdened with the NARX (Nonlinear Autoregressive eXogenous) model structure using ANN with the Levenberg-Marquardt training algorithm.…”

Section: Introductionmentioning

confidence: 99%

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Identification of the Flip Folder Folding Machine Using Artificial Neuro Network Method with NARX (Nonlinear Auto Regressive Exogenous) Structure

Prabowo

Pambudi

Imaduddin³

2020

Inform

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Folding machine is a tool that is needed in the small and medium scale laundry industry that has a goal for the efficiency of production time. The flip folder is the main component of this tool, which functions to fold the clothes by moving to form a certain deflection angle where the movement process is controlled by the controller. The system modeling process is the first step to study the characteristics of the system. In a dynamic system, the form of linear modeling is approved difficult to obtain a model that represents the actual physical model. Selecting the structure of the NARX (Nonlinear Autoregressive eXogenous) model was chosen to obtain the dynamic nature of the system. An estimation method to obtain parameter values from the system used Artificial Neural Networks (ANN), which is a trading scheme to be able to predict the output of a system that uses input data and output. Based on the offline assessment process using measurement data obtained by the NARX ANN model on the variation of the number of layers in 30 with a value of MSE 0,38641.

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Identification of automatic guided vehicle (agv) based on magnetic guided sensor for industrial material transfer

Prabowo

Imaduddin²,

Pambudi

et al. 2021

IOP Conf. Ser.: Mater. Sci. Eng.

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Identification of Flip Folder Model on Folding Machine

Cited by 4 publications

References 1 publication

An Implementation of Fuzzy PD Control Design for Five Flip Folders Folding Machine Using Arduino Mega2560

An Implementation of Fuzzy PD Control Design for Five Flip Folders Folding Machine Using Arduino Mega2560

Identification of the Flip Folder Folding Machine Using Artificial Neuro Network Method with NARX (Nonlinear Auto Regressive Exogenous) Structure

Identification of automatic guided vehicle (agv) based on magnetic guided sensor for industrial material transfer

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