Performance evaluation of a compliant magnetorheological piston actuator

Gonzalo Aguirre Dominuez, Mitsuhiro Kamezaki, He Shan, Shigeki Sugano

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Compliant actuation is an indispensable element for safe physical human robot interaction. However, there is a lack of devices, which can integrate the high power density of hydraulic actuators with intrinsically safe mechanisms. This drove the development a new type of hydraulic magneto-rheological piston. This device includes a novel toroidal array of magnetorheological valves in its head. In previous studies, the system performance was evaluated only as a traditional damping system. Now, the piston is connected to a pump to create a hydraulic compliant actuator. This novel compliant piston is capable to control the piston speed and force independently by using the pump and electromagnet voltages respectively. In this way, different combinations of these parameters can be used to achieve diverse system properties; e.g. low response time or energy efficiency. Several experiments are conducted to evaluate its performance, including force, friction, speed, and step response. The results display the potential of the devices to be used as an active system for compliant hydraulic robotic applications. They also hint to the possibilities to improve by using a more sophisticated control system for its speed and force.

Original languageEnglish
Title of host publicationSII 2016 - 2016 IEEE/SICE International Symposium on System Integration
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781509033294
Publication statusPublished - 2017 Feb 6
Event2016 IEEE/SICE International Symposium on System Integration, SII 2016 - Sapporo, Japan
Duration: 2016 Dec 132016 Dec 15


Other2016 IEEE/SICE International Symposium on System Integration, SII 2016

ASJC Scopus subject areas

  • Biomedical Engineering
  • Control and Systems Engineering
  • Mechanical Engineering
  • Artificial Intelligence
  • Hardware and Architecture
  • Control and Optimization

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