Genetic algorithm-based S-curve acceleration and deceleration for five-axis machine tools

This study is concerned with the S-curve acceleration and deceleration (acc/dec) planning for a five-axis machine tool. Although several types of acc/dec methods have been proposed, most industrial applications employ linear segments with trapezoid acc/dec. With the development of high-speed and high-precision machining, S-curve acc/dec has attracted considerable attention. However, S-curve acc/dec involves more parameters compared to those simpler methods, which makes the tuning process more difficult. It is even more difficult and complicated for five-axis machines due to the complicated kinematics resulting from the two rotation axes. To increase planning efficiency, this paper presents a genetic algorithm-based S-curve acc/dec scheme. With the proposed scheme, a higher machining speed without violating the motion limits of the axes can be achieved, and the dynamic performance and productivity can be improved.

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