Journal ArticleDOI
Floating Weighting Factors ANN-MPC Based on Lyapunov Stability for Seven-Level Modified PUC Active Rectifier
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TLDR
This article presents a low-frequency adaptive F SMPC (AMPC) stabilized based on Lyapunov stability theory to overcome the design problems of FSMPC.Abstract:
Despite being cost-effective, seven-level Modified Packed U-Cell (MPUC7) active rectifier tends to be unstable due to unequal dc-links. Thus, a multiobjective controller is required to stabilize voltages and currents besides preserving efficiency and power quality. While conventional finite-set model predictive control (FSMPC) can deal with the multiobjective problem, it cannot assure the system stability, and its weighing factors tuning significantly becomes tiresome as the number of objectives increases. This article presents a low-frequency adaptive FSMPC (AMPC) stabilized based on Lyapunov stability theory to overcome the design problems of FSMPC. AMPC handles four control objectives and a decoupled stability objective. The control objectives assure the standard performance of MPUC7 in terms of switching losses, d v /d t , THD, and capacitors ripple. The stability objective guarantees the rectifier reliability under unstable conditions. The weighting factors in AMPC are floating to tackle the tuning challenges where a radial basis function neural network controller (RBFC) adjusts their variations. RBFC is trained by a novel self-training method including particle swarm optimization (PSO) algorithm and some mathematical analyses without using any training data. Experimental and simulation tests also evaluate AMPC in different conditions to confirm its reliability in fulfilling the desired objectives.read more
Citations
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Journal ArticleDOI
Power management using robust control strategy in hybrid microgrid for both grid-connected and islanding modes
TL;DR: This paper synthesizes input-output feedback linearization (IOFL) and sliding mode controller (SMC) for a hybrid AC/DC microgrid system under both load variations and parameter uncertainties to show the validity of the proposed control technique under load variations, parameters uncertainty and controllers alteration.
Journal ArticleDOI
Model Predictive Control Strategy for Induction Motor Drive Using Lyapunov Stability Objective
TL;DR: In this article , a Lyapunov-based model predictive control strategy for squirrel-cage induction motor fed by a voltage source inverter is presented to ensure asymptotic stability.
Journal ArticleDOI
Finite-Set Quasi-Sliding Mode Predictive Control of $ LC$-Filtered Voltage Source Inverters
TL;DR: In this paper , a finite-set quasi-sliding model predictive control (FS-QSMPC) scheme for three-phase voltage source inverters with output -filtered VSIs is proposed to improve the output-voltage quality.
Proceedings ArticleDOI
A Novel Single-Phase Triple-Output Active Buck Rectifier Using Nine-Level Packed E-Cell Converter
Mohammad Babaie,Kamal Al-Haddad +1 more
TL;DR: In this article, the authors proposed a Packed E-Cell (PEC) active buck rectifier, which is able to generate a nine-level voltage waveform on the ac side by using a minimum components count.
Proceedings ArticleDOI
Systematic Design of Improved Lead-Lag Direct Power Model Predictive Controller for Multilevel Active-Front-End Rectifier: A Comparative Study
TL;DR: In this article, the authors proposed a lead-lag direct power model predictive controller (L2DP-MPC) for active-front-end (AFE) rectifier.
References
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Journal ArticleDOI
Model Predictive Control—A Simple and Powerful Method to Control Power Converters
TL;DR: The feasibility and great potential of FCS-MPC due to present-day signal-processing capabilities, particularly for power systems with a reduced number of switching states and more complex operating principles, such as matrix converters are found.
Proceedings ArticleDOI
Guidelines for weighting factors design in Model Predictive Control of power converters and drives
Patricio Cortes,Samir Kouro,Bruno La Rocca,R. Vargas,Jose Rodriguez,Jose I. Leon,Sergio Vazquez,Leopoldo G. Franquelo +7 more
TL;DR: In this article, the authors present a set of guidelines that reduce the uncertainty of the model predictive control with a finite control set, which is a promising control tool for power converters and drives.
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
Multiobjective Switching State Selector for Finite-States Model Predictive Control Based on Fuzzy Decision Making in a Matrix Converter
Felipe Villarroel,Jose Espinoza,Christian A. Rojas,Jose Rodriguez,Marco Rivera,Daniel Sbarbaro +5 more
TL;DR: The standard selection stage is replaced by a fuzzy decision-making strategy, considering, as a case study, the control of both load and supply currents in the direct matrix converter (DMC), and a simple selection scheme is obtained.
Journal ArticleDOI
Passivity-based PI control of switched power converters
TL;DR: This paper addresses the practically important question of when a nonlinear system can be asymptotically stabilized with a linear proportional-integral (PI) controller, and shows that it is possible if the system can been passified with constant (though unknown) control actions.