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Integration of optimized feedrate into an online adaptive force controller for robot milling

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Abstract

Maximum resultant cutting force control provides a great benefit of improving productivity in machining tasks. This paper presents a new force control method for robot milling that can prevent force overshoots during abrupt part geometry changes. Firstly, the feedrates of the robot at critical cutter locations are optimized offline according to the cutting force model and the part geometry. Secondly, an online parameter self-adaptive proportional-integral (PI) controller is designed in consideration of the robot feed-direction dynamics and the time-varying first-order model of the cutting process. Finally, the offline scheduled feedrates are integrated into the online adaptive controller via a feedforward-like strategy. Experiments demonstrate the effectiveness and advantages of the proposed force control method.

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Correspondence to LiMin Zhu.

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Xiong, G., Li, Z., Ding, Y. et al. Integration of optimized feedrate into an online adaptive force controller for robot milling. Int J Adv Manuf Technol 106, 1533–1542 (2020) doi:10.1007/s00170-019-04691-1

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Keywords

  • Robot machining
  • Force control
  • Feedrate scheduling
  • Parameter self-adaptive PI controller
  • Recursive least square algorithm