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Model identification of a low-cost robot gripper by using MATLAB System Identification Toolbox (SIT)


Article Information

Title: Model identification of a low-cost robot gripper by using MATLAB System Identification Toolbox (SIT)

Authors: Amirul Syafiq Sadun, Jamaludin Jalani, Jumadi Abdul Sukor

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2016

Volume: 11

Issue: 14

Language: English

Categories

Abstract

This paper describes the method of finding the estimated plant transfer function of a low-cost robot gripper system by using the MATLAB System Identification Toolbox (SIT). The best output signal of the gripper is obtained in particular by introducing a fast response step input (i.e. big slope) and a slow response step input (i.e. small slope). The test is based on the hardware setup which consists of a low-cost robot gripper, a closed-loop DC servo motor with position feedback, the Arduino IO hardware control and data acquisition. The results show that the obtained output signal is sufficient to represent the low-cost robot gripper transfer function by using a slow response step input. The PID control is employed and the results show that the gripping performance is satisfactorily achieved in simulation and experiment.


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