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March 13, 2026Machines2 citationsOpen Access

Design and Validation of a Real-Time FPGA-Based PID Control System for Angular Positioning in Servo-Hydraulic Actuators

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ETErsin TuralRERıza Emre Ergün

Key Points

  • The goal is to design and validate a real-time PID control system for precise angular positioning in servo-hydraulic actuators.
  • Developed a PID control algorithm implemented on an FPGA platform.
  • Tuned controller gains using system identification techniques based on step response analysis.
  • Assessed performance through experiments with step inputs and sinusoidal trajectories.
  • Achieved a rise time of 0.06 seconds for small step inputs.
  • Showed steady-state error within ±1° for small step inputs.
  • Validated dynamic bandwidth with exceptional tracking capabilities at 10 Hz excitation.

Abstract

Electro-hydraulic servo systems (EHSS) are widely used in industrial applications due to their high power-to-weight ratio; however, their nonlinear dynamics pose significant challenges for precise position control. This study proposes and validates a real-time Proportional–Integral–Derivative (PID) control system implemented on a Field Programmable Gate Array (FPGA) platform for the angular positioning of a servo-hydraulic actuator. The control algorithm is deployed on an embedded system to achieve high-speed execution independent of host processing. The controller gains were tuned using system identification techniques based on step response analysis. The system’s performance was experimentally assessed under both step inputs and sinusoidal trajectories. Experimental results demonstrated that the proposed controller achieved a rise time of 0.06 s and a steady-state error within ±1° for small step inputs. Furthermore, frequency domain analysis via Bode diagrams validated the system’s dynamic bandwidth, showing exceptional tracking capabilities at 10 Hz excitation with a negligible phase lag of −0.71°. These findings confirm that an FPGA-based PID control architecture effectively overcomes hydraulic nonlinearities, providing a robust and precise solution for real-time motion control compared to traditional methods.

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Cite This Study

Tural et al. (2026) studied this question.

synapsesocial.com/papers/69b3acc502a1e69014ccebbfhttps://doi.org/10.3390/machines14030315
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