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Updated: Dec 23, 2025

Fabrication of Soft Pneumatic Network Actuators with Oblique Chambers
Published on: August 17, 2018
Position and Force Control of a Soft Pneumatic Actuator
Peyman Abbasi1, Mohammad Ali Nekoui1, Mohammad Zareinejad2
1Faculty of Electrical Engineering, Department of Control Engineering, K. N. Toosi University of Technology, Tehran, Iran.
This study controls a soft pneumatic actuator for precise movement in applications like aerospace and medicine. It uses advanced modeling and hysteresis compensation to improve robotic system performance.
Area of Science:
- Robotics
- Mechanical Engineering
- Control Systems
Background:
- Soft robots offer safer alternatives to rigid robots in sensitive fields like aerospace and medicine.
- Soft pneumatic actuators (SPAs) are inspired by nature and provide compliant movement.
- Controlling the precise motion and force of SPAs is crucial for their practical application.
Purpose of the Study:
- To develop and validate a control strategy for a soft pneumatic actuator capable of reshaping in the x-y plane.
- To model the dynamic behavior of the SPA using system identification techniques.
- To compensate for system hysteresis and improve trajectory tracking accuracy.
Main Methods:
- System identification was employed to model the SPA's behavior and simulate its time response.
- A cascaded control strategy was designed for robot control.
- The Prandtl-Ishlinskii (P-I) model and its inverse were utilized to measure, simulate, and compensate for system hysteresis.
Main Results:
- The developed control architecture was simulated and experimentally implemented on a laboratory setup.
- The system demonstrated improved precision in tracking control after hysteresis compensation.
- Experimental results validated the effectiveness of the proposed control strategy for the soft actuator.
Conclusions:
- The study successfully demonstrated a robust control method for a 2D soft pneumatic actuator.
- Hysteresis compensation using the inverse P-I method significantly enhanced the precision of the soft robot's end-point control.
- The findings pave the way for more accurate and reliable soft robotic systems in various industries.
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