An ensemble nonlinear model predictive control algorithm in an artificial pancreas for people with type 1 diabetes

2016 ◽  
Author(s):  
Dimitri Boiroux ◽  
Morten Hagdrup ◽  
Zeinab Mahmoudi ◽  
Niels Kjolstad Poulsen ◽  
Henrik Madsen ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Nonlinear Model ◽  
Control Algorithm ◽  
Artificial Pancreas ◽  
Nonlinear Model Predictive Control ◽  
Model Predictive Control Algorithm

Meal Estimation in Nonlinear Model Predictive Control for Type 1 Diabetes

2010 ◽  
Vol 43 (14) ◽  
pp. 1052-1057 ◽  
Author(s):  
Dimitri Boiroux ◽  
Daniel A. Finan ◽  
John Bagterp Jørgensen ◽  
Niels Kjølstad Poulsen ◽  
Henrik Madsen
Keyword(s):  
Type 1 Diabetes ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Nonlinear Model ◽  
Nonlinear Model Predictive Control

scholarly journals Performance of the Omnipod Personalized Model Predictive Control Algorithm with Meal Bolus Challenges in Adults with Type 1 Diabetes

2018 ◽  
Vol 20 (9) ◽  
pp. 585-595 ◽  
Author(s):  
Bruce A. Buckingham ◽  
Mark P. Christiansen ◽  
Gregory P. Forlenza ◽  
R. Paul Wadwa ◽  
Thomas A. Peyser ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Control Algorithm ◽  
Model Predictive Control Algorithm

scholarly journals Design and verification of model predictive control for micro-turboshaft engine

2019 ◽  
Vol 11 (12) ◽  
pp. 168781401989019
Author(s):  
Mengwei Zhang ◽  
Zhixiang Lin ◽  
Haiyang Huang ◽  
Tianhong Zhang
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Nonlinear Model ◽  
Control Algorithm ◽  
Nonlinear Model Predictive Control ◽  
Bench Test ◽  
Control Effect ◽  
Integral Control ◽  
Model Predictive Control Algorithm ◽  
Turboshaft Engine

In this article, a nonlinear model predictive control algorithm for a micro-turboshaft engine is designed. The control effect is verified by a bench test. First, a micro-turboshaft engine test bench is built, and the open-loop control experiment was carried out on it. Based on experiment data, a linear parameter varying prediction model is established. Then, by online rolling optimization based on multistep output prediction, together with feedback correction, a nonlinear model predictive control algorithm is obtained. The influence of algorithm parameters on the control effect is studied, and reasonable prediction period M, control period N, and control coefficient R are designed. Finally, the application of nonlinear model predictive control in micro-turboshaft engine is verified by bench test. The results show that with the changing of pitch angle, nonlinear model predictive control algorithm has a faster adjustment speed and smaller overshoot, compared with the conventional cascade proportional–integral control with feedforward. It is proofed that nonlinear model predictive control can be applied to a real turboshaft engine and has a better control effect.

Sign in / Sign up

Export Citation Format

Share Document