Multiparametric programming in process systems engineering: Recent developments and path forward
The inevitable presence of uncertain parameters in critical applications of process
optimization can lead to undesirable or infeasible solutions. For this reason, optimization …
optimization can lead to undesirable or infeasible solutions. For this reason, optimization …
Nonlinear model predictive stabilization of DC–DC boost converters with constant power loads
O Andrés-Martínez, A Flores-Tlacuahuac… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
This article addresses the problem of stabilization of dc–dc converters feeding constant
power loads (CPLs). An explicit model predictive control is developed based on an average …
power loads (CPLs). An explicit model predictive control is developed based on an average …
Dual multivariable model-free adaptive individual pitch control for load reduction in wind turbines with actuator faults
J Li, S Wang - Renewable Energy, 2021 - Elsevier
Thanks to the great advances in the installations of large wind turbines, individual pitch
control (IPC) has gained mounting interest among researchers. The actuator faults, however …
control (IPC) has gained mounting interest among researchers. The actuator faults, however …
Optimal power tracking of PMSG based wind energy conversion systems by constrained direct control with fast convergence rates
This paper proposes a simple direct control with fast convergence rates under constraints for
tracking optimal power of permanent magnet synchronous generator (PMSG) based wind …
tracking optimal power of permanent magnet synchronous generator (PMSG) based wind …
Noncooperative distributed model predictive control: A multiparametric programming approach
RST Saini, I Pappas, S Avraamidou… - Industrial & …, 2023 - ACS Publications
The distributed control system architecture strikes a balance between the decentralized
control system architecture, where subsystem interactions are unaccounted for, and the …
control system architecture, where subsystem interactions are unaccounted for, and the …
Pitch control of electrohydraulic semi-rotary-actuated wind turbine with actuator and valve fault using generalized power-based exponential rate reaching law sliding …
P Venkaiah, BK Sarkar… - Proceedings of the …, 2023 - journals.sagepub.com
Wind power systems comprise complex components and get exposed to harsh
environments due to wind speed variations. Researchers in the domain of wind turbine …
environments due to wind speed variations. Researchers in the domain of wind turbine …
A model-free adaptive controller with tracking error differential for collective pitching of wind turbines
J Li, S Wang, Y Li - Renewable Energy, 2020 - Elsevier
The aerodynamic power captured by wind turbines is generally limited by pitch control when
it operates above rated wind speed. However, problems such as actuator constraints …
it operates above rated wind speed. However, problems such as actuator constraints …
Enhanced yaw stability of downwind turbines
H Hoghooghi, N Chokani… - Journal of Physics …, 2019 - iopscience.iop.org
It is shown, in a novel experimental study using a sub-scale model of a 5MW downwind
turbine, that individual pitch control based on a sinusoidal pitching scheme that is locked to …
turbine, that individual pitch control based on a sinusoidal pitching scheme that is locked to …
On the design of efficient optimal tube‐based robust model predictive control: Quasi‐H∞ approach
A Sebghati, MM Esfahani… - IET Control Theory & …, 2023 - Wiley Online Library
This paper proposes a tube‐based robust model predictive control (TMPC) scheme with an
optimal tube for disturbance‐affected linear systems. In the literature on TMPC, there is no …
optimal tube for disturbance‐affected linear systems. In the literature on TMPC, there is no …
Comparative study of the pitch control of a wind turbine using Linear Quadratic Gaussian and the Unrestricted Horizon Predictive Controller
JC de Lima Jr, R Trentini… - … Transactions on Electrical …, 2021 - Wiley Online Library
This paper proposes a comparative study among a widely known optimal control approach
(Linear Quadratic Gaussian—LQG) and a novel predictive one (Unrestricted Horizon …
(Linear Quadratic Gaussian—LQG) and a novel predictive one (Unrestricted Horizon …