Paper
27 June 2022 The improvement and simulation of the gripping device of a 3DOF typewriter based on fuzzy PID control
Yinqiu Kong, Li Lang, Demin Li, Yingzhuo Wang
Author Affiliations +
Proceedings Volume 12253, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022); 122530F (2022) https://doi.org/10.1117/12.2639477
Event: Second International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022), 2022, Qingdao, China
Abstract
For traditional typewriters, due to the low accuracy of the servo motor applied in the Z-axis, the pen may not reach the correct position. This project aims to improve the precision and robustness of the output of the traditional 3DOF typewriter by redesigning the gripping device based on fuzzy PID control. The desired positioning problem can be transformed into maintaining a constant force between the pen and the paper. In this way, to accomplish the fuzzy PID logic control, a twophase hybrid stepper motor is used to replace the servo motor, a transmission device based on a gear set is designed to amplify the motion, and a high-accuracy force feedback instrument is added to provide force feedback information. Design and virtual simulation experiments in micro-stepping operation are implemented in detail to track the transformed force problem in this paper. With mathematical models, the control problem exhibits dynamic uncertainties and nonlinearity. Some well-expected performances of the fuzzy PID controller are presented to show the success of improving the stability of the output.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yinqiu Kong, Li Lang, Demin Li, and Yingzhuo Wang "The improvement and simulation of the gripping device of a 3DOF typewriter based on fuzzy PID control", Proc. SPIE 12253, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022), 122530F (27 June 2022); https://doi.org/10.1117/12.2639477
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KEYWORDS
Control systems

Fuzzy logic

Bridges

Servomechanisms

Teeth

Adaptive control

Device simulation

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