Impedance control for force tracking of a dual-arm cooperative robot based on particle swarm optimization
Li Li, Tong Huang, Chujia Pan, Jian Pan, Wenbin Su
Abstract
Purpose The purpose of this paper aims to investigate the adaptive impedance control and its optimized PSO algorithm for force tracking of a dual-arm cooperative robot. Because the dual-arm robot is directly in contact with external environment, controlling the mutual force between robot and external environment is of great importance. Besides, a high compliance of the robot should be guaranteed. Design/methodology/approach An impedance control based on Particle Swarm Optimization (PSO) algorithm is designed to track the mutual force and achieve compliance control of the robot end. Findings The experimental results show that the impedance control coefficients can be automatically tuned converged by PSO algorithm. Originality/value The system can reach a steady state within 0.03 s with overshoot convergence, and the force fluctuation range at the steady state decreases to about ±0.08 N even under the force mutation condition.