Design of Feedforward PID Control System for DC Motor Based on Simulink and DSP

This paper addresses the issues of complex code writing, poor portability of traditional DC motor control, and the difficulty in closely integrating Simulink model simulation with control boards. It proposes a design scheme for a DC motor feedforward PID control system that uses a DSP (Digital Signal Processor) as the core control board and automatically generates code based on a Simulink-built simulation model. Finally, the embedded model is verified through the built upper computer. The research results show that through the model-based design of Simulink, the development difficulty of complex control algorithms for DC motors is effectively reduced, and the development efficiency and system portability are improved.

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Publication Details

Published
2025-07-11
DOI
https://doi.org/10.1109/eicct65471.2025.11100022
Primary Topic
Advanced Algorithms and Applications
Type
article
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article

Design of Feedforward PID Control System for DC Motor Based on Simulink and DSP

Ye Yang, Haoran Wang, Jingyi Tian
Advanced Algorithms and Applications
article

Design of Feedforward PID Control System for DC Motor Based on Simulink and DSP

Ye Yang, Haoran Wang, Jingyi Tian
article en

Abstract

This paper addresses the issues of complex code writing, poor portability of traditional DC motor control, and the difficulty in closely integrating Simulink model simulation with control boards. It proposes a design scheme for a DC motor feedforward PID control system that uses a DSP (Digital Signal Processor) as the core control board and automatically generates code based on a Simulink-built simulation model. Finally, the embedded model is verified through the built upper computer. The research results show that through the model-based design of Simulink, the development difficulty of complex control algorithms for DC motors is effectively reduced, and the development efficiency and system portability are improved.

Tianjin University of Technology and Education (CN)
Affordable and clean energy
Openalex Percentile: Top 77%
Advanced Algorithms and Applications
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