TY - GEN
T1 - Adaptive synchronization of networked multi-agent systems considering transient responses and disturbances
AU - Okore Hanson, Theophilus
AU - Yi, Sun
PY - 2016
Y1 - 2016
N2 - Networks of mechanical drive systems require precise and robust regulation of the position and speed relations at specified synchronized ratios. Successful synchronization of the multi-agent systems can provide complex mechanisms like powertrain drives or precision machines with enhanced efficient and effective performances. In this paper a new adaptive tracking and synchronization controller is presented to achieve robust tracking and synchronization performance under modeling errors and disturbances. The presented methodology combines a synchronization method of networked systems and model reference adaptive control theories considering uncertainties. Improved transient and steady-state system performances are validated through application of the proposed architecture to DC servo motor systems.
AB - Networks of mechanical drive systems require precise and robust regulation of the position and speed relations at specified synchronized ratios. Successful synchronization of the multi-agent systems can provide complex mechanisms like powertrain drives or precision machines with enhanced efficient and effective performances. In this paper a new adaptive tracking and synchronization controller is presented to achieve robust tracking and synchronization performance under modeling errors and disturbances. The presented methodology combines a synchronization method of networked systems and model reference adaptive control theories considering uncertainties. Improved transient and steady-state system performances are validated through application of the proposed architecture to DC servo motor systems.
UR - https://dx.doi.org/10.1109/ISFA.2016.7790211
U2 - 10.1109/isfa.2016.7790211
DO - 10.1109/isfa.2016.7790211
M3 - Conference contribution
BT - International Symposium on Flexible Automation, ISFA 2016
ER -