scholarly journals Dynamic Optimization and Non-linear Model Predictive Control to Achieve Targeted Particle Morphologies

2018 ◽  
Vol 91 (3) ◽  
pp. 323-335 ◽  
Author(s):  
Wolfgang Gerlinger ◽  
José Maria Asua ◽  
Tomáš Chaloupka ◽  
Johannes M.M. Faust ◽  
Fredrik Gjertsen ◽  
...  
Author(s):  
Zhi Qi ◽  
Qianyue Luo ◽  
Hui Zhang

In this paper, we aim to design the trajectory tracking controller for variable curvature duty-cycled rotation flexible needles with a tube-based model predictive control approach. A non-linear model is adopted according to the kinematic characteristics of the flexible needle and a bicycle method. The modeling error is assumed to be an unknown but bounded disturbance. The non-linear model is transformed to a discrete time form for the benefit of predictive controller design. From the application perspective, the flexible needle system states and control inputs are bounded within a robust invariant set when subject to disturbance. Then, the tube-based model predictive control is designed for the system with bounded state vector and inputs. Finally, the simulation experiments are carried out with tube-based model predictive control and proportional integral derivative controller based on the particle swarm optimisation method. The simulation results show that the tube-based model predictive control method is more robust and it leads to much smaller tracking errors in different scenarios.


2019 ◽  
Vol 123 ◽  
pp. 184-195 ◽  
Author(s):  
S.O. Hauger ◽  
N. Enaasen Flø ◽  
H. Kvamsdal ◽  
F. Gjertsen ◽  
T. Mejdell ◽  
...  

2020 ◽  
Vol 14 (2) ◽  
pp. 343-351 ◽  
Author(s):  
Yutao Chen ◽  
Nicoló Scarabottolo ◽  
Mattia Bruschetta ◽  
Alessandro Beghi

2016 ◽  
Vol 43 (7) ◽  
pp. 541-549 ◽  
Author(s):  
H. Wu ◽  
R. Speets ◽  
G. Ozcan ◽  
R. Ekhart ◽  
R. Heijke ◽  
...  

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