Linear Active Disturbance Rejection Control for a Laser Powder Bed Fusion Additive Manufacturing Process

被引:1
作者
Hussain, S. Zahid [1 ]
Kausar, Zareena [1 ]
Koreshi, Zafar Ullah [1 ]
Shah, Muhammad Faizan [2 ]
Abdullah, Ahmd [1 ]
Farooq, Muhammad Umer [2 ]
机构
[1] Air Univ, Dept Mechatron & Biomed Engn, Islamabad 44000, Pakistan
[2] Khwaja Fareed Univ Engn & Informat Technol, Inst Mech & Mfg Engn, Rahim Yar Khan 64200, Pakistan
关键词
additive manufacturing; selective laser melting; process modeling; disturbance modeling; disturbance rejection; process control; PRECISION MOTION CONTROL; FEEDBACK-CONTROL; PARAMETERS;
D O I
10.3390/electronics12020471
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Functional metal parts with complicated geometry and internal features for the aerospace and automotive industries can be created using the laser powder bed fusion additive manufacturing (AM) technique. However, the lack of uniform quality of the produced parts in terms of strength limits its enormous potential for general adoption in industries. Most of the defects in selective laser melting (SLM) parts are associated with a nonuniform melt pool size. The melt pool area may fluctuate in spite of constant SLM processing parameters, like laser power, laser speed, hatching distance, and layer thickness. This is due to heat accumulation in the current track from previously scanned tracks in the current layer. The feedback control strategy is a promising tool for maintaining the melt pool dimensions. In this study, a dynamic model of the melt pool cross-sectional area is considered. The model is based on the energy balance of lumped melt pool parameters. Energy coming from previously scanned tracks is considered a source of disturbance for the current melt pool cross-section area in the control algorithm. To track the reference melt pool area and manage the disturbances and uncertainties, a linear active disturbance rejection control (LADRC) strategy is considered. The LADRC control technique is more successful in terms of rapid reference tracking and disturbance rejection when compared to the conventional PID controller. The simulation study shows that an LADRC control strategy presents a 65% faster time response than the PID, a 97% reduction in the steady state error, and a 98% reduction in overshoot. The integral time absolute error (ITAE) performance index shows 95% improvement for reference tracking of the melt pool area in SLM. In terms of reference tracking and robustness, LADRC outperforms the PID controller and ensures that the melt pool size remains constant.
引用
收藏
页数:18
相关论文
共 73 条
[11]   Active disturbance rejection control: Old and new results [J].
Feng, Hongyinping ;
Guo, Sao-Zhu .
ANNUAL REVIEWS IN CONTROL, 2017, 44 :238-248
[12]   On thermal modeling of Additive Manufacturing processes [J].
Foteinopoulos, Panagis ;
Papacharalampopoulos, Alexios ;
Stavropoulos, Panagiotis .
CIRP Journal of Manufacturing Science and Technology, 2018, 20 :66-83
[13]  
Fox J.C., 2016, P 2016 MAT SCI TECHN
[14]   Modeling of additive manufacturing processes for metals: Challenges and opportunities [J].
Francois, M. M. ;
Sun, A. ;
King, W. E. ;
Henson, Nj. ;
Tourret, D. ;
Bronkhorst, C. A. ;
Carlson, N. N. ;
Newman, C. K. ;
Haut, T. ;
Bakosi, J. ;
Gibbs, J. W. ;
Livescu, V. ;
Vander Wiel, S. A. ;
Clarke, Aj. ;
Schraad, M. W. ;
Blacker, T. ;
Lim, H. ;
Rodgers, T. ;
Owen, S. ;
Abdeljawad, F. ;
Madison, J. ;
Anderson, A. T. ;
Fattebert, J-L. ;
Ferencz, R. M. ;
Hodge, N. E. ;
Khairallah, S. A. ;
Walton, O. .
CURRENT OPINION IN SOLID STATE & MATERIALS SCIENCE, 2017, 21 (04) :198-206
[15]   Benchmark Study of Melted Track Geometries in Laser Powder Bed Fusion of Inconel 625 [J].
Gan, Zhengtao ;
Jones, Kevontrez K. ;
Lu, Ye ;
Liu, Wing Kam .
INTEGRATING MATERIALS AND MANUFACTURING INNOVATION, 2021, 10 (02) :177-195
[16]  
Gao ZQ, 2006, P AMER CONTR CONF, V1-12, P2399
[17]  
Gao ZQ, 2003, P AMER CONTR CONF, P4989
[18]  
Gao ZQ., 2009, P AM CONTR C, P2451
[19]   Single-Track Melt-Pool Measurements and Microstructures in Inconel 625 [J].
Ghosh, Supriyo ;
Ma, Li ;
Levine, Lyle E. ;
Ricker, Richard E. ;
Stoudt, Mark R. ;
Heigel, Jarred C. ;
Guyer, Jonathan E. .
JOM, 2018, 70 (06) :1011-1016
[20]  
Guo B. Z., 2016, ACTIVE DISTURBANCE R