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This study introduces a novel rotary transformer position decoding scheme for motor control, eliminating specialized chips. The method accurately converts analog signals into digital encoder outputs for diverse platforms.

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Area of Science:

  • Electrical Engineering
  • Control Systems
  • Robotics

Background:

  • Rotary transformers are crucial for position sensing in motor drives.
  • Traditional decoding methods often rely on specialized, costly integrated circuits.
  • Integrating diverse motor drive platforms requires flexible position decoding solutions.

Purpose of the Study:

  • To propose a software-based rotary transformer position decoding scheme.
  • To eliminate the need for dedicated decoding chips in motor drive control.
  • To enable compatibility with various motor drive control platforms through a novel signal conversion method.

Main Methods:

  • Designed a simple analog excitation and signal conditioning circuit.
  • Utilized software demodulation and a phase-locked loop (PLL) for position signal decoding.
  • Developed a single-cycle partition average method for converting angle position to A/B/Z encoder-like signals.

Main Results:

  • The proposed scheme successfully decoded rotary transformer signals without specialized chips.
  • Experimental validation on an STM32F407 platform confirmed the scheme's effectiveness and accuracy.
  • The software-based approach demonstrated comparable results to traditional chip-based decoding.

Conclusions:

  • The rotary transformer position decoding scheme offers a cost-effective and flexible alternative.
  • The method is suitable for various motor drive control applications.
  • Software-based decoding enhances adaptability across different hardware platforms.