Abstract
Optimum design of the weighting factors for a multi-objective cost function is one of the major challenges of Finite-Set Model Predictive Control (FS-MPC) operated power electronic converters. Especially for multi-level topologies, where multi-objectives must be included in the cost function to ensure a safe operation of the converter, the complexity of the optimization problem is rapidly growing with each new objective included in the cost function. In this paper a new approach for design of the weighting factors for a three level neutral point clamped (NPC) converter using artificial neural network (ANN) is proposed. The ANN is used as a surrogate model of the detailed converter model. In the first step a detailed converter model is simulated for different weighting factor combinations. From the simulations obtained performance metrics (e.g. total harmonic distortion (THD), average switching frequency, DC-link voltage balance) are used to train the ANN. Once the network is trained, it can be used to estimate the performance metrics for any combination of weighting factors. By defining a fitness function using the metrics, weighting factor combinations that optimize the function are found to be very fast. The design is also validated on an experimental set-up, where the measured performance metrics are compared to the ones predicted by the ANN. It is concluded that the results match very well with a difference being below 10%.
Original language | English |
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Title of host publication | 34th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2019 |
Number of pages | 6 |
Publisher | IEEE Press |
Publication date | 24 May 2019 |
Pages | 77-82 |
Article number | 8722062 |
ISBN (Print) | 978-1-5386-8331-6 |
ISBN (Electronic) | 978-1-5386-8330-9 |
DOIs | |
Publication status | Published - 24 May 2019 |
Event | Applied Power Electronics Conference and Exposition APEC 2019 - Anaheim, United States Duration: 17 Mar 2019 → 21 Mar 2019 http://www.apec-conf.org/ |
Conference
Conference | Applied Power Electronics Conference and Exposition APEC 2019 |
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Country/Territory | United States |
City | Anaheim |
Period | 17/03/2019 → 21/03/2019 |
Internet address |
Series | I E E E Applied Power Electronics Conference and Exposition. Conference Proceedings |
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ISSN | 1048-2334 |
Keywords
- weighting factor design
- Artificial Neural Network (ANN)
- finite set model predictive control (FS-MPC)
- 3L-NPC