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Adaptive Control of a 3D Printer using Whale Optimization Algorithm for Bio-Printing of Artificial Tissues and Organs

机译:使用鲸鱼优化算法对人工组织和器官进行生物打印的3D打印机的自适应控制

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Nowadays, 3D printers are frequently used in the field of plastic surgery especially in the bio printing of ear, nose and face-chin prosthesis. In the bio-printing of intertwined complex geometry organs, printing errors varying from model to model are seen. These errors cause the printed organ to not function properly from time to time. It is vital that the controller algorithm of the 3D printer needs to be improved to deal with the errors that occur during bioprinting. In this study, a new adaptive PID controller based on Whale optimization Algorithm (WOA) is proposed for bio-printing of artificial tissues and organs. Thanks to the convergence speed and simplicity of the proposed metaheuristic optimization algorithm, the parameters of the PID controller can be adjusted quickly and accurately. The performance of the proposed WOA based PID controller was measured with the help of Integral of Time multiplied Squared Error (ITSE), one of the performance metrics. The proposed controller for the 3D printer is compared to the classical PID. From the results obtained, it is seen that the proposed controller significantly improves the transient response of the 3D printer.
机译:如今,3D打印机经常用于整形外科领域,尤其是在耳,鼻和下巴假体的生物打印中。在相互交织的复杂几何形状器官的生物打印中,发现打印误差因模型而异。这些错误会导致打印的器官时常无法正常工作。至关重要的是,需要改进3D打印机的控制器算法,以处理生物打印过程中发生的错误。在这项研究中,提出了一种基于鲸鱼优化算法(WOA)的新型自适应PID控制器,用于人工组织和器官的生物打印。由于所提出的元启发式优化算法的收敛速度和简便性,可以快速,准确地调整PID控制器的参数。所提出的基于WOA的PID控制器的性能是在性能指标之一的时间积分平方误差(ITSE)的帮助下进行测量的。所建议的3D打印机控制器与经典PID进行了比较。从获得的结果可以看出,提出的控制器显着改善了3D打印机的瞬态响应。

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