Model Predictive Direct Power Control for Virtual-Flux-Based VSR With Optimal Switching Sequence
IEEE Access, 2022 Three-phase voltage-source rectifier (VSR) has been widely used in energy, industry and other fields in the past few years. Model predictive control with optimal switching sequence (OSS-MPC) has further reduced output current THD and ripples with a ...
Han Shi +4 more
doaj +1 more source
Adaptive Horizon Model Predictive Control and Al'brekht's Method [PDF]
, 2019 A standard way of finding a feedback law that stabilizes a control system to an operating point is to recast the problem as an infinite horizon optimal control problem. If the optimal cost and the optmal feedback can be found on a large domain around the
E Polak +11 more
core +2 more sources
Application of Model Predictive Control to BESS for Microgrid Control
Energies, 2015 Battery energy storage systems (BESSs) have been widely used for microgrid control. Generally, BESS control systems are based on proportional-integral (PI) control techniques with the outer and inner control loops based on PI regulators.
Thai-Thanh Nguyen +2 more
doaj +1 more source
Sensor-fault tolerance using robust MPC with set-based state estimation and active fault isolation [PDF]
, 2014 In this paper, a sensor fault-tolerant control (FTC) scheme using robust model predictive control (MPC) and set theoretic fault detection and isolation (FDI) is proposed.
Niculescu, Silviu-Iulian +4 more
core +3 more sources
Model Predictive Control of Doubly Fed Induction Motors Based on Fuzzy Logic
MachinesModel predictive control (MPC) has become an attractive solution for doubly fed induction motors (DFIMs) due to its fast dynamic response and multi-variable constraint handling capability.
Xueyan Wang +4 more
doaj +1 more source
Examples of governings with predictive controls [PDF]
, 2015 Tato diplomová práce se zabývá prediktivním řízením, hlavně Model Based Predictive Control (MPC). V první částí je popsán princip prediktivního řízení, kriteriální funkce, volba omezení regulace a volba pokut.
Šalda, Zbyněk
core
High-order volterra model predictive control and its application to a nonlinear polymerisation process [PDF]
, 2005 Model Predictive Control (MPC) has recently found wide acceptance in the process industry, but the existing design and implementation methods are restricted to linear process models. A chemical process involves, however, severe nonlinearity which cannot
C. E. Garcia +10 more
core +1 more source
E-MPC: Edge-assisted Model Predictive Control
CoRRModel predictive control (MPC) has become the de facto standard action space for local planning and learning-based control in many continuous robotic control tasks, including autonomous driving. MPC solves a long-horizon cost optimization as a series of short-horizon optimizations based on a global planner-supplied reference path. The primary challenge
Yuan-Yao Lou +3 more
openaire +2 more sources
Constrained nonlinear optimal control: a converse HJB approach [PDF]
, 1996 Extending the concept of solving the Hamilton-Jacobi-Bellman (HJB) optimization equation backwards [2], the so called converse constrained optimal control problem is introduced, and used to create various classes of nonlinear systems for which the ...
Nevistić, Vesna, Primbs, James A.
core +1 more source
Preconditioning for continuation model predictive control
, 2015 Model predictive control (MPC) anticipates future events to take appropriate control actions. Nonlinear MPC (NMPC) deals with nonlinear models and/or constraints. A Continuation/GMRES Method for NMPC, suggested by T.
Knyazev, Andrew, Malyshev, Alexander
core +1 more source