Journal
IEEE TRANSACTIONS ON POWER ELECTRONICS
Volume 37, Issue 2, Pages 2045-2056Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPEL.2021.3109112
Keywords
Torque; Mathematical model; Curve fitting; Couplings; Temperature control; Inductance; Computational modeling; Fast maximum torque per ampere (MTPA) angle detection; interior permanent magnet synchronous machine (IPMSM); least squares; MTPA control; polynomial curve fitting
Categories
Funding
- National Natural Science Foundation of China [62103455]
- Key-Area Research and Development Program of Guangdong Province [2020B0909040004, 2020B090920002]
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This article proposes a novel online polynomial curve fitting technique for fast and accurate maximum torque per ampere (MTPA) angle detection for interior permanent magnet synchronous machines (IPMSMs). The proposed approach avoids the time-consuming search process and achieves fast detection speed by determining the polynomial parameters from a few test data.
For interior permanent magnet synchronous machines (IPMSMs), maximum torque per ampere (MTPA) control aims to find the MTPA angle to maximize the control objective (the ratio of output torque to stator current). This article proposes a novel online polynomial curve fitting technique for fast and accurate MTPA angle detection, which is motivated by the fact that the objective increases before MTPA angle and decreases after MTPA angle. This article proposes a polynomial-based objective model and identifies the polynomial parameters from a few test data for direct MTPA angle calculation. The proposed approach can avoid the time-consuming search process resulting in fast detection speed in comparison to existing search-based methods. In implementation, the current angle is set to a few test values to obtain the data for online curve fitting and MTPA angle calculation, in which there is no need of machine inductances and PM flux linkage. Moreover, the proposed polynomial model is analyzed to obtain the number of test data required for fast and accurate MTPA angle detection. The proposed approach is validated with extensive experiments and comparisons with existing methods on a laboratory IPMSM.
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