An FPGA-Based Networked Hybrid Valve Pneumatic System for a Multi-Layer Soft Sponge Robot
This study develops a robust pneumatic control system for soft robots that require multi-cavity coordination. It proposes an FPGA-based hybrid valve pneumatic system (HVPS) with networked control and multi-mode pressure regulation to enhance performance in complex tasks. The system integrates a hybrid valve unit (a negative-pressure proportional valve + solenoid valves) to support four pressure regulation modes, implements an FPGA-based PWM/DAC control for scalability, and utilizes EtherCAT (Ethernet for Control Automation Technology) for real-time networked synchronization. The experimental results demonstrate that the HVPS can achieve variable-frequency PWM (VF-PPRM) and variable-duty-ratio PWM (VDR-PPRM), controlling a Multi-Layer Soft Sponge Robot (ML-SSR) to perform better crawling behaviors at frequencies ranging from 0.2 Hz to 0.33 Hz and duty ratios ranging from 30% to 50%. ML-SSRs could perform manipulation and synchronization following behavior using a closed-loop proportional regulation module (CPRM) and networked connection, with the mean square errors (MSEs) of 0.85 around the X-axis and 1.03 around the Y-axis. This work uniquely integrates FPGA-based hybrid valve control with EtherCAT networking, introduces multi-mode pressure regulation within a single pneumatic unit, and offers a scalable architecture for soft robotic systems, thereby enhancing the flexibility and performance of pneumatic control.
Authors
- Yang Liu (ORCID: https://orcid.org/0000-0001-5184-3313)
- Haiming Huang (ORCID: https://orcid.org/0000-0003-1104-2444)
- Xiaogang Li (ORCID: https://orcid.org/0000-0001-9255-7559)
- Fan Yin (ORCID: https://orcid.org/0009-0004-5057-0463)
- Linru Zhan
Institutions
- Shenzhen University (CN)
Publication Details
- Journal
- Applied Sciences
- Published
- 2025-11-21
- DOI
- https://doi.org/10.3390/app152312373
- Primary Topic
- Soft Robotics and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Shenzhen University
- Science, Technology and Innovation Commission of Shenzhen Municipality