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Efficient time-optimal feedrate planning under dynamic constraints for a high-order CNC servo system
Authors:Jian-Xin Guo  Ke Zhang  Qiang Zhang  Xiao-Shan Gao
Affiliation:1. KLMM, Academy of Mathematic and Systems Science, Chinese Academy of Sciences, China;2. Department of Mechanical Engineering, University of British Columbia, Canada;3. College of Information and Control Engineering, China University of Petroleum (East China), China
Abstract:In this paper, the time-optimal feedrate planning problem under confined feedrate, axis velocity, axis acceleration, axis jerk, and axis tracking error for a high-order CNC servo system is studied. The problem is useful in that the full ability of the CNC machine is used to enhance the machining productivity while keeping the machining precision under a given level. However, the problem is computationally challenging. The main contribution of this paper is to approximate the problem nicely by a finite-state convex optimization problem which can be solved efficiently. The method consists of two key ingredients. First, a relationship between the tracking error and the input signal in a high-order CNC servo system is established. As a consequence, the tracking error constraint is reduced to a constraint on the kinematic quantities. Second, a novel method is introduced to relax the nonlinear constraints on kinematic quantities to linear ones. Experimental results are used to validate the proposed method.
Keywords:Time-optimal feedrate planning  Tracking error  Jerk  High-order CNC servo system  Convex optimization
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