PSO-MPC control of artificial pancreas

M. El Hachimi, A. Ballouk, A. Baghdad
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引用次数: 3

Abstract

PSO tuning of Model Predictive Control (MPC) implemented in Artificial Pancreas is presented in this paper. The objective function of PSO-based MPC is defined using closed loop information to perform a minimal computation time which is achieved by a small number of iterations and a reduced population size. The controller implementation in a test platform approved by the FDA shows an acceleration in reference tracking with a reduction of overshoot and a complete avoidance of hypoglycemia.
人工胰腺的PSO-MPC控制
提出了在人工胰腺中实现模型预测控制(MPC)的粒子群整定方法。利用闭环信息定义基于pso的MPC的目标函数,通过减少迭代次数和减小种群规模来实现最小的计算时间。在FDA批准的测试平台中,控制器的实现显示了参考跟踪的加速,减少了超调,完全避免了低血糖。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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