Abstract
The synchronous reluctance machine is well-known for its highly nonlinear magnetic saturation and cross-saturation characteristics. For high performance and high-efficiency control, the flux-linkage maps and maximum torque per ampere table are of paramount importance. This study proposes a novel automated online searching method for obtaining accurate flux-linkage and maximum torque per ampere Identification. A limited 6 × 2 dq-axis flux-linkage look-up table is acquired by applying symmetric triangle pulses during the self-commissioning stage. Then, three three-dimensional modified linear cubic spline interpolation methods are applied to extend the flux-linkage map. The proposed golden section searching method can be easily implemented to realize higher maximum torque per ampere accuracy after 11 iterations with a standard drive, which is a proven faster solution with reduced memory sources occupied. The proposed algorithm is verified and tested on a 15-kW SynRM drive. Furthermore, the iterative and execution times are evaluated.
Original language | English |
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Article number | 96 |
Journal | Machines |
Volume | 12 |
Issue number | 2 |
Publication status | Published - 29 Jan 2024 |
Keywords
- flux-linkage map
- synchronous reluctance motors
- magnetic saturation
- golden section searching method;
- three-dimensional modified linear cubic spline interpolation method
- maximum torque per ampere