Maximum Torque Per Ampere Control for IPMSM Using Gradient Descent Algorithm Based on Measured Speed Harmonics

This paper proposes a novel gradient descent based maximum torque per ampere (MTPA) control algorithm for interior permanent magnet synchronous machines (IPMSMs) by using the measured speed harmonics. The proposed approach does not require machine parameters and thus is not influenced by the machine...

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Vydáno v:IEEE transactions on industrial informatics Ročník 14; číslo 4; s. 1424 - 1435
Hlavní autoři: Lai, Chunyan, Feng, Guodong, Mukherjee, Kaushik, Tjong, Jimi, Kar, Narayan C.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Piscataway IEEE 01.04.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithm design and analysis
Algorithms
Computer simulation
Control algorithms
Control theory
Gradient descent algorithm
Harmonic analysis
Harmonics
Informatics
interior permanent magnet synchronous machine (IPMSM)
Mathematical model
maximum torque per ampere (MTPA) control
Permanent magnets
Product design
Robust control
Robustness (mathematics)
speed harmonic
Stator windings
Synchronous machines
Torque
ISSN:1551-3203, 1941-0050
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Popis
Shrnutí:This paper proposes a novel gradient descent based maximum torque per ampere (MTPA) control algorithm for interior permanent magnet synchronous machines (IPMSMs) by using the measured speed harmonics. The proposed approach does not require machine parameters and thus is not influenced by the machine and drive nonlinearities. Hence, the proposed approach can ensure a robust MTPA control under different loading conditions. Specifically, in the proposed approach, a small q-axis harmonic voltage is injected into the machine to induce a small harmonic component in the machine speed. Based on the PMSM torque equation, the mathematical relation between the induced speed harmonic and the output torque is derived, which shows that the magnitude of the induced speed harmonic is proportional to the output torque of an IPMSM. Therefore, the speed harmonic is explored to seek the MTPA angle, in which the MTPA angle is found when the speed harmonic magnitude is maximized. In particular, the gradient descent algorithm is employed to detect the MTPA angle, which is computationally efficient and converges quickly. The proposed approach is evaluated with both simulations and experiments based on a laboratory IPMSM drive system.
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content type line 14
ISSN:1551-3203
1941-0050
DOI:10.1109/TII.2017.2759812