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Position and torque tracking: series elastic actuation versus model-based-controlled hydraulic actuation.

Alexander Otten1, Wieke van Vuuren, Arno Stienen

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Summary

This study compares two control methods for nonlinear hydraulic actuators used in robotics for stroke survivor diagnostics. A model-based controller offers better performance for both position and torque control compared to a series elastic actuator with proportional integral control.

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Area of Science:

  • Robotics
  • Control Systems
  • Biomedical Engineering

Background:

  • Robotic systems for diagnostics, such as for stroke survivors, necessitate actuators with both stiffness for identification and compliance for free subject movement.
  • Hydraulic actuators can function as either position (stiff) or torque (compliant) actuators, but exhibit nonlinear behavior.

Purpose of the Study:

  • To examine and compare two distinct control methods for nonlinear hydraulic actuators.
  • To evaluate the effectiveness of a series elastic actuator with proportional integral control versus a model-based linearizing controller.

Main Methods:

  • Implementation of a series elastic hydraulic actuator with torque measurement for proportional integral control.
  • Development and application of a model-based controller utilizing the inverse of the actuator's nonlinear model.
  • Comparison of both control strategies through simulation results.

Main Results:

  • The series elastic actuator controller is quicker to implement but limited by the system's nonlinearity and the elastic element's low torsional stiffness, especially for position control.
  • The model-based controller effectively linearizes the nonlinear system, demonstrating good performance in both torque and position control applications.
  • The model-based approach requires thorough model development and validation.

Conclusions:

  • Model-based control offers superior performance for nonlinear hydraulic actuators in robotic applications requiring both stiffness and compliance.
  • While simpler to implement, series elastic actuators have limitations due to inherent system nonlinearities and component stiffness.
  • Accurate system modeling is crucial for the successful implementation of advanced model-based control strategies.