The switching message estimator for network-based motion control systems

  • Authors:
  • Chen-Chou Hsieh;Pau-Lo Hsu

  • Affiliations:
  • Department of Electrical Engineering, National Chiao-Tung University, Hsinchu, Taiwan;Department of Electrical Engineering, National Chiao-Tung University, Hsinchu, Taiwan

  • Venue:
  • Journal of Control Science and Engineering - Special issue on Advances in Methods for Control over Networks
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

Missing commands from the interpolator caused by the dropout effect of network transmission will cause motion error in motion plants implemented on network-based control systems (NCSs). Dropout data can be properly recovered by applying different message estimators to improvemotion contouring accuracy. This study shows that the dropout rate and the distribution ofmissing commands dominate the motion error, and that more centralized missing commands result in a higher maximum contouring error. The short-window dropout quantity (SDQ) is proposed in this paper to estimate the network quality based on the dropout rate and its distribution of the missing data. Furthermore, according to the condition of missing data based on the SDQ, the switching least-square estimator (LSE) is proposed to compensate for missing motion commands. Simulation and experimental results on the two-axis AC servo motor NCS indicate that motion contouring accuracy is greatly improved by applying the proposed estimator.