Multistep Finite Control Set Model Predictive Control for Power Electronics
Tobias Geyer,Daniel E. Quevedo +1 more
TLDR
In this article, an efficient optimization algorithm for direct model predictive control with reference tracking of the converter current is proposed. But the computational burden of the algorithm is independent of the number of converter output levels, the concept is particularly suitable for multi-level topologies with a large number of voltage levels.Abstract:
For direct model predictive control with reference tracking of the converter current, we derive an efficient optimization algorithm that allows us to solve the control problem for very long prediction horizons. This is achieved by adapting sphere decoding principles to the underlying optimization problem. The proposed algorithm requires only few computations and directly provides the optimal switch positions. Since the computational burden of our algorithm is effectively independent of the number of converter output levels, the concept is particularly suitable for multi-level topologies with a large number of voltage levels. Our method is illustrated for the case of a variable speed drive system with a three-level voltage source converter.read more
Citations
More filters
Journal ArticleDOI
Model Predictive Control for Power Converters and Drives: Advances and Trends
TL;DR: The paper revisits the operating principle of MPC and identifies three key elements in the MPC strategies, namely the prediction model, the cost function, and the optimization algorithm.
Journal ArticleDOI
Model Predictive Control: MPC's Role in the Evolution of Power Electronics
TL;DR: In this article, the authors present a review of the history of power converter control with an emphasis on the more recent introduction of predictive control, and give a glimpse on the challenges and possibilities ahead.
Journal ArticleDOI
Model Predictive Current Control for PMSM Drives With Parameter Robustness Improvement
TL;DR: Simulation and experimental results both show that the proposed method can effectively eliminate the influence of the parameter mismatches on the control performance and reduce the parameter sensitivity of the MPCC method.
Journal ArticleDOI
Guidelines for the Design of Finite Control Set Model Predictive Controllers
Petros Karamanakos,Tobias Geyer +1 more
TL;DR: This article discusses and analyzes the factors that affect the closed-loop performance of FCS-MPC and design guidelines are provided that help to maximize the system performance.
Journal ArticleDOI
Performance of Multistep Finite Control Set Model Predictive Control for Power Electronics
Tobias Geyer,Daniel E. Quevedo +1 more
TL;DR: In this paper, a modified sphere decoding algorithm is used to efficiently solve the optimization problem underlying direct model predictive control (MPC) for long horizons, and the computational burden is reduced by four orders of magnitude, compared to the standard exhaustive search approach.
References
More filters
Book
Matrix Analysis
Roger A. Horn,Charles R. Johnson +1 more
TL;DR: In this article, the authors present results of both classic and recent matrix analyses using canonical forms as a unifying theme, and demonstrate their importance in a variety of applications, such as linear algebra and matrix theory.
Journal ArticleDOI
The explicit linear quadratic regulator for constrained systems
TL;DR: A technique to compute the explicit state-feedback solution to both the finite and infinite horizon linear quadratic optimal control problem subject to state and input constraints is presented, and it is shown that this closed form solution is piecewise linear and continuous.
BookDOI
Analysis of electric machinery and drive systems
TL;DR: Theory of brushless dc motors and dc machines is discussed in this article, where the authors present a general framework for electric machine analysis based on basic principles for Electric Machine Analysis.