Embedded Real-Time Model Predictive Control for Glucose Regulation
This paper reports our investigation on a model predictive control (MPC) with constraints for continuous diabetes management,and its implementation on the microcontroller of our artificial pancreas.The operational constraints for the MPC are rate of change,amplitude and output constraints,while the associated optimization problem is solved using a primal-dual interior-point algorithm based on predicatorcorrector method.Our real-time implantable close-loop system is able to achieve desired diabetes management by maintaining the blood sugar level at less than 140 mg/dl,and consistently within the range of 70-120 mg/dl.Experimental results demonstrate that the low power 16-bit microcontroller in our prototype artificial pancreas can provide sufficient computational power with our computational efficient embedded system solution.
Model predictive control artificial pancreas minimal model embedded system
Chee-Kong Chui Binh P. Nguyen Yvonne Ho Zimei Wu Mai Nguyen Geok-Soon Hong Daniel Mok Sumei Sun Stephen Chang
Department of Mechanical Engineering, National University of Singapore, Singapore 117576 Institute for Infocomm Research, A*STAR, Singapore 138632 Department of Surgery, National University Hospital, Singapore 119074
国际会议
World Congress on Medical Physics and Biomedical Engineering (2012年医学物理及生物医学工程国际会议(IFMBE))
北京
英文
1437-1440
2012-05-26（万方平台首次上网日期，不代表论文的发表时间）