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Direct Model-Based Predictive Torque Control with Variable Parameters for Induction Machines

Year: 2025

Type: conference-paper

Abstract: This paper presents several direct model-based predictive torque control (D-MPTC) approaches with variable parameters for induction machines (IM). The term “variable parameters” specifically refers to the variable switching point and the variable weighting factor. Experimental results are provided to compare the strengths and limitations of each method.

Source: HAL (Le Centre pour la Communication Scientifique Directe)

DOI: 10.34746/epe2025-0119

Authors: Chen, Qing, Li, Yongdong, Rodriguez, Jose, Kennel, Ralph

Institutions: Tsinghua University, San Sebastián University, Technical University of Munich

Language: English

Topic: Sensorless Control of Electric Motors

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W6890124730

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