Improving Steady State Accuracy in Field-Weakened Six-Phase Induction Machines with Integrator and Modulated Predictive Control

Author:

Ayala Magno1ORCID,Doval-Gandoy Jesus2ORCID,Rodas Jorge1ORCID,Gonzalez Osvaldo1ORCID,Gregor Raúl1ORCID,Delorme Larizza1ORCID,Romero Carlos1,Fleitas Ariel1

Affiliation:

1. Laboratory of Power and Control Systems (LSPyC), Facultad de Ingeniería, Universidad Nacional de Asunción, Luque 2060, Paraguay

2. Applied Power Electronics Technology (APET) Research Group, University of Vigo, 36310 Vigo, Spain

Abstract

Finite-control-set model predictive control techniques are considered an exciting option for high-performance control multiphase drives due to their fast dynamic response, ability to handle multiple targets and constraints, and adaptability to different power converters or machine models. However, these techniques have some drawbacks, such as poor current reduction (x−y) and steady-state error (d−q), especially in the field weakening zone. Although some proposals have addressed these issues by adding modulation stages or designing new cost functions, there is still room for improvement, especially in steady-state error reduction. Therefore, this article proposes to include an integrator attached to a modulated predictive current controller applied to a six-phase induction machine to improve its performance throughout the entire speed range regarding steady-state error mitigation. Experimental tests were carried out to validate the effectiveness of the proposed controller. Tests were carried out evaluating the reduction of the steady-state error (d−q), the current tracking, the (x−y) currents reduction and the total harmonic distortion.

Funder

Conacyt

Government of Galicia

Spanish State Research Agency

Publisher

MDPI AG

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Sequential Model Predictive Torque Control with Virtual Vectors Applied to Six-Phase Induction Machine;2024 IEEE Transportation Electrification Conference and Expo (ITEC);2024-06-19

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