Predictive control in power electronics and drives

By R. Kennel, Marian P. Kazmierkowski, José Raúl Rodríguez Rodríguez, Patricio Cortes. 2008 IEEE International Symposium on Industrial Electronics, 2008

1,357 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/5f7aea40375a538e3604d2fd9999278c5036f66c

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In Mechanical Engineering

Citations in the corpus

Guidelines for the Design of Finite Control Set Model Predictive Controllers (2020, background): “As a result, many algorithms in the framework of MPC have hitherto been developed for several power electronic systems, ranging from low to high power applications [9]–[12].”
Model-Free Predictive Current Control of PMSM Drives Based on Extended State Observer Using Ultralocal Model (2021, methodology): “Recently, model predictive control (MPC) has attracted increasing attention due to the advantages of the clear concept, high dynamic performance and easy implementation [4], [5].”
Design and Implementation of Terminal Sliding Mode Control Method for PMSM Speed Regulation System (2013, background): “Digital Object Identifier 10.1109/TII.2012.2226896 [6], [10]–[12], backstepping control [7], finite-time control [11], sliding mode control [12], robust control [16], [17], predictive control [18]–[20], fractional order control [21], and intelligent control [1], [9], [22] etc.”
Experimental Comparison of Model Predictive Control and Cascaded Control of the Modular Multilevel Converter (2015, background): “[18] give an overview of different predictive controllers for converter systems.”
Model Predictive Control of an AFE Rectifier With Dynamic References (2012, background): “Over the last decade, model predictive control (MPC) strategies have emerged as a promising control technique for power electronics applications [12]–[16].”
Model-Based Predictive Direct Control Strategies for Electrical Drives: An Experimental Evaluation of PTC and PCC Methods (2015, background): “These contributions can be classified into two main categories: 1) continuous MPC; and 2) predictive direct control [6].”
State of the Art of Finite Control Set Model Predictive Control in Power Electronics (2013, methodology): “In particular, MPC has demonstrated to offer a very simple and effective alternative to classical control algorithms with PulseWidthModulation (PWM) for controlling the flow of electrical energy using power converters [10], [11].”
Model predictive control of high power converters and industrial drives (2016, background): “As shown in [17], subtle differences arise when considering regular sampling.”
Model Predictive Direct Torque Control With Finite Control Set for PMSM Drive Systems, Part 1: Maximum Torque Per Ampere Operation (2013, background): “Number of inverter switching states.”
Comprehensive Topological Overview of Rolling Stock Architectures and Recent Trends in Electric Railway Traction Systems (2017, methodology): “A different control approach called model predictive control (MPC) can directly generate the switching signals without any modulator for the converters and is used to control power converters and drives having an edge of simple and intuitive nature [96], [97].”
Model Predictive Control of an Inverter With Output $LC$ Filter for UPS Applications (2009, background): “Predictive control appears as an attractive alternative for the control of power converters due to its fast dynamic response [15].”
Model Predictive Control of Multilevel Cascaded H-Bridge Inverters (2010, background): “Among them, model predictive control (MPC) has been applied for the control of power converters due to its several advantages, like fast dynamic response, easy inclusion of nonlinearities and constraints of the system, and the flexibility to include other system requirements in the controller [13]–[”
Algebraic Tuning Guidelines for Model Predictive Torque and Flux Control (2018, background): “The switch position at time step k with the minimum cost, uopt(k), is by definition the optimal one, see, for example, [1] and [26].”
Deadbeat Predictive Current Control of Permanent-Magnet Synchronous Motors with Stator Current and Disturbance Observer (2017, background): “Predictive current control basically can be categorized into two groups: model predictive control [16], [17] and deadbeat predictive control [4]–[6], [7].”
Model Predictive Control for Power Converters and Drives: Advances and Trends (2017, methodology): “Several MPC methods have been successfully implemented for a variety of power electronic applications [6], [7].”