Field Oriented Economic Model Predictive Control for Permanent Magnet Synchronous Motors
| Autor: | Gianluca Frison, Moritz Diehl, Andrea Zanelli, U. Vollmer, D. Geweth |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Optimization problem Computer science 020208 electrical & electronic engineering Stability (learning theory) 02 engineering and technology Model predictive control 020901 industrial engineering & automation Terminal (electronics) Control and Systems Engineering Control theory Magnet Convergence (routing) Personal computer 0202 electrical engineering electronic engineering information engineering Voltage |
| Zdroj: | IFAC-PapersOnLine. 53:9093-9099 |
| ISSN: | 2405-8963 |
| Popis: | This paper proposes a novel nonlinear model predictive control approach for permanent magnet synchronous machines (PMSM). The optimization problem is formulated as a field oriented economic model predictive control (FO-EMPC) problem and therefore a target selector is not necessary. A dq-model of the PMSM with spherical voltage and current constraints is taken into account. A terminal set and a terminal penalty are introduced to mitigate stability and convergence issues with a short prediction horizon. The performance of the proposed control scheme is demonstrated in a simulation study on a personal computer and in a hardware-in-the-loop simulation, which show that the transition time is reduced by more than one order of magnitude with respect to state-of-the-art approaches, especially when the voltage constraint becomes active. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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