Realization of Maximum Torque per Ampere Control for IPMSM Based on Inductance Segmentation | Zendy

Jinji Sun | Zendy; Xiaosan Luo | Zendy; Xin Ma | Zendy

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Realization of Maximum Torque per Ampere Control for IPMSM Based on Inductance Segmentation

Author(s) -

Jinji Sun,

Xiaosan Luo,

Xin Ma

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2876572

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

In order to solve problems associated with inductance parameter changes on traditional maximum torque per ampere (MTPA) control method for interior permanent magnet synchronous motor, such as large amount of computation, complicated control system, and low control precision, an MTPA control method based on inductance segmentation is proposed. Considering the effects of magnetic saturation, the inductance parameters are processed by segmentation analysis. The Newton iteration method is used to solve the correspondence between the electromagnetic torque and the optimum

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axis current components, and the subsection curve is fitted to achieve MTPA control. By analyzing and processing inductance parameters, this control method improves the accuracy of control system. The

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axis current reference is realized by piecewise curve fitting to improve the dynamic performance of the system. Finally, the dynamic performance of this method is compared with that of the traditional method through simulation and experiment. The simulations and experiments results show that this method has the advantages of fast dynamic response, high control accuracy, and simple implementation.

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