Abstract
With the development of high-speed and high-precision machining, S-curve acceleration and deceleration planning has attached considerable attention. Aiming at the character of non-linearity of motion control of parallel machine tools, a hybrid S-curve acceleration and deceleration speed planning method, which is planned in workspace and evaluated in joint space, is proposed in this paper. The machining efficiency is improved by using the strategy between adjacent micro-linear segments. The simulation results show that the S-curve acceleration and deceleration method is more advantageous to the stability of the system than the linear acceleration and deceleration method.
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References
Tasi, M. S., Wu, S. K.: Study on acceleration/deceleration feedrate planning for multi-block line segments using estimated contour error formulation. In 2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), pp. 489-493 (2014).
He, J.: A fast nested look-ahead algorithm with S-shape acceleration and deceleration. Acta Aeronaut. Astronaut. Sin 31(4), 842-851 (2010).
Zhang, Z..: A new acceleration and deceleration algorithm and applications. In 2012 Second International Conference on Intelligent System Design and Engineering Application, pp 121-124. doi: https://doi.org/10.1109/hpdc.2001.945188 (2012).
Erkorkmaz, K.: High speed CNC system design. Part I: jerk limited trajectory generation and quintic spline interpolation. International Journal of Machine Tools & Manufacture 41(9), 1323-1345 (2001).
Lu, T. C.: Genetic algorithm-based S-curve acceleration and deceleration for five-axis ma-chine tools. The International Journal of Advanced Manufacturing Technology 87(1-4), 219-232 (2016).
Lu, T. C.: Near time-optimal S-curve velocity planning for multiple line segments under axis constraints. IEEE Transactions on Industrial Electronics 65(12), 9582-9592 (2018).
Ni, Y.: Kinematic calibration of parallel manipulator with full-circle rotation. Industrial Robot 43(3), 296-307 (2016).
Bi, Q Z.: An analytical curvature-continuous Bézier transition algorithm for high-speed ma-chining of a linear tool path. International Journal of Machine Tools & Manufacture 57, 55-65 (2012).
Zhao, H.: A real-time look-ahead interpolation methodology with curvature-continuous B-spline transition scheme for CNC machining of short line segments. International Journal of Machine Tools & Manufacture 65(2), 88-98 (2013).
Shi, J.: Corner rounding of linear five-axis tool path by dual PH curves blending. International Journal of Machine Tools & Manufacture 88, 223-236 (2015).
Tulsyan, S.: Local toolpath smoothing for five-axis machine tools. International Journal of Machine Tools & Manufacture 96, 15-26 (2015).
Yang, Z. Y.: Kinematic model building and servo parameter identification of 3-HSS parallel mechanism. Frontiers of Mechanical Engineering in China 1(1), 60-66 (2006).
Acknowledgement
This research is supported by National Nature Science Foundation of China (Grant No. 5157052394) and Nature Science Foundation of Tianjin, China (Grant No. 16JCZDJC38400).
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Ni, Y., Chen, J., Fan, H., Liu, X. (2019). A Speed Control Algorithm and Motion Stability Evaluation Method for Parallel Machine Tools. In: Uhl, T. (eds) Advances in Mechanism and Machine Science. IFToMM WC 2019. Mechanisms and Machine Science, vol 73. Springer, Cham. https://doi.org/10.1007/978-3-030-20131-9_142
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DOI: https://doi.org/10.1007/978-3-030-20131-9_142
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Online ISBN: 978-3-030-20131-9
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