Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | International Symposium on Flexible Automation, ISFA 2016 |
| DOIs | |
| State | Published - 2016 |
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