Analytical Design and Performance Validation of Finite Set MPC Regulated Power Converters

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Abstract

A new approach to performance validation of finite control set model predictive control (FCS-MPC) regulated power electronics converters is presented in the paper - statistical model checking (SMC). SMC is an established method used in various sectors of industry to provide solutions to problems that are beyond the abilities of classical formal techniques. The method is simple for implementation and requires only an operational system model that can be simulated and checked against properties. The approach will be presented on a standard 2-level voltage source converter (VSC) regulated by the FCS-MPC algorithm. In UPPAAL SMC toolbox the converter system and controller are modeled as a Network of Stochastic Timed Automata. To assess the quality of the model, an equivalent Simulink model is used as a benchmark model. Using the model created in UPPAAL SMC toolbox the performance of the FCS-MPC algorithm is verified. The control algorithm is also tested on an experimental setup. During the evaluation, no significant degradation of reference tracking was found during transients nor under model parameter uncertainty.
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A new approach to performance validation of finite control set model predictive control (FCS-MPC) regulated power electronics converters is presented in the paper - statistical model checking (SMC). SMC is an established method used in various sectors of industry to provide solutions to problems that are beyond the abilities of classical formal techniques. The method is simple for implementation and requires only an operational system model that can be simulated and checked against properties. The approach will be presented on a standard 2-level voltage source converter (VSC) regulated by the FCS-MPC algorithm. In UPPAAL SMC toolbox the converter system and controller are modeled as a Network of Stochastic Timed Automata. To assess the quality of the model, an equivalent Simulink model is used as a benchmark model. Using the model created in UPPAAL SMC toolbox the performance of the FCS-MPC algorithm is verified. The control algorithm is also tested on an experimental setup. During the evaluation, no significant degradation of reference tracking was found during transients nor under model parameter uncertainty.
Original languageEnglish
JournalI E E E Transactions on Industrial Electronics
VolumePP
Issue number99
Number of pages10
ISSN0278-0046
DOI
Publication statusAccepted/In press - 28 May 2018
Publication categoryResearch
Peer-reviewedYes

    Research areas

  • Controller performance, DC-AC power conversion, finite control set model predictive control, statistical model checking

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