An error compensation controller for milling robots
Author affiliations
DOI:
https://doi.org/10.15625/0866-7136/16979Keywords:
milling robot, robotic machining, robot dynamics, cutting force calibration, robot controlAbstract
This paper presents a method of controlling a serial robot for milling by an inverse kinematic controller combined with an outer PD loop (Inverse Dynamics + PD controller), with calibration and compensation of errors in calculating the cutting forces. Because the cutting forces are generated at the time of cutting, at the contact area between the workpiece and the cutting tool, the generalized forces of the cutting forces in the differential equations of motion of robot is always variable and difficult to determine precisely. The cutting forces depend on the cutting mode, the geometric parameters of the cutting layer, the cutting conditions, etc. This study shows an inverse dynamic controller with the outer PD loop and an additional calibration block to compensate the differences between the actual cutting forces and calculated cutting forces (which are caculated by the empirical formula). The cutting forces at each machining time of the calibration block is determined based on the differential equation of motion. The efficiency (convergence time and accuracy) of the proposed controller is evaluated by comparison between the numerical simulation results of the controller with cutting force calibration and the conventional PD controller. In the conventional PD controller, the dynamic model of the robot is assumed to define precisely. The results contribute to design and manufacture the controllers for robotic milling, and to improve the quality of the machined surface.
Downloads
References
R. Sharma, P. Gaur, and A. P. Mittal. Performance analysis of two-degree of freedom fractional order PID controllers for robotic manipulator with payload. ISA Transactions, 58, (2015), pp. 279–291.
H. Tang and Y. Li. Feedforward nonlinear PID control of a novel micromanipulator using Preisach hysteresis compensator. Robotics and Computer-Integrated Manufacturing, 34, (2015), pp. 124–132.
P. R. Ouyang, J. Acob, and V. Pano. PD with sliding mode control for trajectory tracking of robotic system. Robotics and Computer-Integrated Manufacturing, 30, (2014), pp. 189–200.
P. B. Khoi, H. T. Hai, and H. V. Sinh. Collaborative robotic reverse kinematics control in milling machining. In Proceedings of the 10th National Conference on Mechanics, Volume 1. Dynamics and Controls of Machine Mechanics, Hanoi, (2017), pp. 352–361.
H. T. Hai, H. V. Sinh, H. H. Hung, and P. B. Khoi. Control in the manipulation space of complex surface forming machining robots. In Collection of scientific works at the National Technical Mechanics Conference, 40th Anniversary of the Institute of Mechanics, Volume 2. Dynamics and Control, Machine Mechanics, Hydraulic Mechanics, Hanoi, (2019), pp. 220–227.
K. B. Phan, H. T. Ha, and S. V. Hoang. Eliminating the effect of uncertainties of cutting forces by fuzzy controller for robots in milling process. Applied Sciences, 10, (2020).
P. B. Khoi, H. T. Hai, and T. M. Thuy. Kinematic analysis for milling machining robots. In Collection of works of the 11th National Mechanics Conference, Hanoi, (2022).
P. B. Khoi, H. T. Hai, and T. M. Thuy. Dynamic modeling of mechanical machining robots. In Proceedings of the 11th National Conference on Mechanics, Hanoi, (2022).
Downloads
Published
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.