This is the authors' abstract. We don't add key points for this paper.
The various types of applications for arm robots have made it one of the most important topics within the field. An important step to be considered is the application of a suitable control algorithm that takes into account the complex nonlinear dynamics. However, nonlinear control methods can still face difficulties due to the complexity of implementation. In this paper, four degrees of freedom (4-DOF) robot arm model is considered. Simple linear control methods are proposed to be used in the control of the angle of robotjoints. For this purpose, the fuzzy logic controller (FLC) and the two degree of freedom PID (2-DOF PID) controller are applied to control the joint angles of robot arm and in order to improve the response speed and reduce overshoot. The system simulation was performed using the MATLAB/Simulink software package. Simulation results show that the FLC has a faster response with a better rise time compared to the 2-DOF PID controller.
Answers are grounded in this paper and cite their sources.
No takes yet. Share an insight, caveat, or question.
El-Khatib et al. (2021) studied this question.
Synapse has enriched 8 closely related papers on similar clinical questions. Consider them for comparative context: