Model-Based Sensored Field Oriented Control Implementation for Permanent Magnet Synchronous Motor

Srivastava, Aakriti; Padgil, Rounak; Gupta, Abhishek; Lohia, Ajay; Nair, Nouria

doi:10.1109/iria53009.2021.9588787

Cited by 2 publications

(1 citation statement)

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“…The speed of a PMSM is successfully controlled by integrating a field-oriented control (FOC) algorithm with model-based design (MBD) in MATLAB using TI digital motor control, IQ math, and embedded coder Texas C2000 processors library [14]. Utilizing the MBD method, this approach facilitates the progression of PMSM vector control from simple to complex and from specific to general.…”

Section: Introductionmentioning

confidence: 99%

Rapid Experimental Protocol for PMSM via MBD: Modeling, Simulation, and Experiment

Hu,

Ahn,

Kang

et al. 2024

Computers

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As control algorithms evolve, their enhanced performance is often accompanied by increased complexity, reaching a point where practical experimentation becomes unfeasible. This situation has led to many theoretical studies relying solely on simulations without experimental verification. To address this gap, this study introduces a rapid experimentation protocol (REP) for applying field-oriented control (FOC) strategies to permanent magnet synchronous motors (PMSMs) based on model-based design (MBD) and automated code generation. REP is designed to be user-friendly and straightforward, offering a less complex and more accessible alternative to DSP toolboxes. Its excellent hardware compatibility is conducive to code porting and development. With this protocol, users can quickly conduct FOC strategy experiments with reduced dependency on the complex automated code generation tools often associated with toolboxes. Centered around the PMSM model, this method utilizes only the fundamental modules of MATLAB2023b/Simulink, greatly simplifying the user experience. To demonstrate the feasibility and efficiency of the protocol, models for both sensor-based and sensorless control are developed. The practicality of REP, including sensor-based and sensorless experiments, is successfully validated on an arm-cortex-M4-based GD32 microcontroller.

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Section: Introductionmentioning

confidence: 99%