Gaussian Process (GP)-based Learning Control of Selective Laser Melting Process
Gaussian Process (GP)-based Learning Control of Selective Laser Melting Process
复制标题
基于高斯过程（GP）的选择性激光熔化过程的学习控制
DOI：
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复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Yuebin B. Guo
中科院分区：
文献类型：
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作者：
Farshid Asadi;Alaa Olleak;J. Yi;Yuebin B. Guo
选择性激光熔化（SLM）是有效的金属增材制造的新兴工艺之一。由于空间光调制过程中存在复杂的热交换和材料相变，因此精确建模空间光调制过程的动力学和设计鲁棒控制是一个挑战。在本文中，我们首先提出了一个数据驱动的高斯过程的SLM过程的动态模型，然后设计了一个模型预测控制来调节熔池的大小。在控制器设计中考虑了物理和过程约束。学习模型和控制设计进行了测试和验证高保真有限元仿真。与其他控制设计的比较结果证明了控制设计的有效性。
Selective laser melting (SLM) is one of emerging processes for effective metal additive manufacturing. Due to complex heat exchange and material phase changes, it is challenging to accurately model the SLM dynamics and design robust control of SLM process. In this paper, we first present a data-driven Gaussian process based dynamic model for SLM process and then design a model predictive control to regulate the melt pool size. Physical and process constraints are considered in the controller design. The learning model and control design are tested and validated with high-fidelity finite element simulation. The comparison results with other control design demonstrate the efficacy of the control design.
选择性激光熔化功率分布整形的迭代学习控制
DOI：
10.1109/coase.2019.8843070
发表时间：
2019
期刊：
2019 IEEE 15th International Conference on Automation Science and Engineering (CASE
影响因子：
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作者：
Shkoruta, Aleksandr;Caynoski, William;Mishra, Sandipan;Rock, Stephen
通讯作者：
Rock, Stephen
影响因子：
4.1
作者：
Yan, Wentao;Lin, Stephen;Liu, Wing Kam
通讯作者：
Liu, Wing Kam