Identification of Flip Folder Model on Folding Machine

1st International Conference on Advanced Engineering and Technology

工业技术（总论）

Pambudi, W.S.^1 ; Zuliari, E.A.^1 ; Firmansyah, R.A.^1 ; Prabowo, Y.A.^1 ; Syaifurrizal, A.^1

Electrical Engineering Department, Institut Teknologi Adhi Tama Surabaya, Indonesia^1

关键词: Auto-regressive;    Extended least squares;    Folding machines;    Indispensable tools;    Input and outputs;    Input variables;    Laundry industry;    Time constants;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/462/1/012009/pdf
DOI  :  10.1088/1757-899X/462/1/012009

学科分类：工业工程学

来源: IOP

【 摘 要 】

Folding Machine is an indispensable tool in the small-scale laundry industry that aims to save time and energy. The main component of this equipment is a flip folder that will be controlled in the form of deflection of the angle position in order to operate the folded clothes. In the design of the controller, what needs to be done is the identification of the plant to determine the characteristics of the system. Modelling section in this paper is using relationships between input variables; input components are often difficult to measure the parameters of the plant. Therefore, this research will identify the system based on the offline input and output data measurement by using Extended Least Square (ELS) and Auto Regressive Exogenous (ARX) model approach. Based on the results of the identification, the second order damped plant equation can be approximated by first order reduction model with the characteristic transient response that having a time constant (τ) of 0.1706 seconds, the rise time of 0.500 seconds, the settling time of 0.511 seconds and the delay time of 0.1178 seconds.