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JACIII Vol.23 No.2 pp. 237-241
doi: 10.20965/jaciii.2019.p0237
(2019)

Short Paper:

Trajectory Tracking and Control Algorithm for Precision Parallel Robot

Shanshan Chen

Mechanical and Electrical College, Chongqing College of Electronic Engineering
Shapingba District, Chongqing 401331, China

Received:
April 11, 2018
Accepted:
May 17, 2018
Published:
March 20, 2019
Keywords:
parallel robot, trajectory tracking, control algorithm, index approatching rate
Abstract
Trajectory Tracking and Control Algorithm for Precision Parallel Robot

Diagram of generalized controlled object structure

When the state of the robot reaches the smooth sliding plane, the current algorithm will generate high-frequency chattering, resulting in larger tracking error and longer response time. To solve these problems, we have proposed a trajectory tracking and control algorithm based on exponential reaching rate. The coordinate system of parallel robot system is established, and the kinetic energy and potential energy of the system are calculated. The results are brought into the Lagarnge equation to find the dynamic model of the system. The power amplifier, electro-hydraulic servo valve, hydraulic cylinder and its load are taken as generalized controlled objects, and the hydraulic servo system model is established. The exponential approaching rate is introduced to design the dynamics model and the trajectory tracking sliding controller of the hydraulic servo system model. By adjusting the upper and lower bounds of the external disturbance of the controller, the control rate is changed, the buffeting occurrence is reduced, and the response time is shortened, to realize the low error tracking of any trajectory of the robot. The experimental results show that the trajectory of the robot can be adjusted quickly and the desired trajectory is better tracked by the end.

Cite this article as:
S. Chen, “Trajectory Tracking and Control Algorithm for Precision Parallel Robot,” J. Adv. Comput. Intell. Intell. Inform., Vol.23, No.2, pp. 237-241, 2019.
Data files:
References
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Last updated on Nov. 08, 2019