Frequency-Shaped Impedance Control for Safe Human–Robot Interaction in Reference Tracking Application

In the control of industrial robots, both safety and reference tracking performance are required. For safe human-robot interaction, robots should exhibit low mechanical (or controlled) impedance so that they react to the interaction forces in a compliant manner. On the other hand, the reference tracking requires for the robots to reject exogenous disturbances, which results in an increased impedance. In order to achieve these two conflicting objectives, a frequency-shaped impedance control (FSIC) method is proposed in this paper. The proposed method utilizes the two different functionalities of the disturbance observer (DOB): a disturbance estimation function as an observer and a disturbance rejection function as a feedback controller. Namely, the DOB is utilized as an observer at the frequencies where the robots interact with humans, while it is used as a feedback controller (i.e., disturbance rejection controller) at the frequencies where the reference tracking is required. The proposed approach is realized by shaping a filter of the DOB in the frequency domain so that the impedance is manipulated to achieve both the compliant interaction and reference tracking. The compromised reference tracking performance in the frequency range, where the impedance is set low, can also be supplemented by feedforward control. A typical feedback controller and a feedforward controller are designed in addition to the DOB-controlled system as the whole control system to enhance reference tracking performance and the betterment of stability robustness. The proposed method is verified by experimental results in this paper.

[1]  Thomas B. Sheridan,et al.  Robust compliant motion for manipulators, part II: Design method , 1986, IEEE J. Robotics Autom..

[2]  Bruce A. Francis,et al.  Feedback Control Theory , 1992 .

[3]  Kiyoshi Ohishi,et al.  Estimation of Action/Reaction Forces for the Bilateral Control Using Kalman Filter , 2012, IEEE Transactions on Industrial Electronics.

[4]  G. ÓLaighin,et al.  Direct measurement of human movement by accelerometry. , 2008, Medical engineering & physics.

[5]  N. Gupta Frequency-shaped cost functionals - Extension of linear-quadratic-Gaussian design methods , 1980 .

[6]  Gunnar Bolmsjö,et al.  Extending an industrial robot controller: implementation and applications of a fast open sensor interface , 2005, IEEE Robotics & Automation Magazine.

[7]  Neville Hogan,et al.  An analysis of contact instability in terms of passive physical equivalents , 1989, Proceedings, 1989 International Conference on Robotics and Automation.

[8]  Jae-Bok Song,et al.  A Nonlinear Stiffness Safe Joint Mechanism Design for Human Robot Interaction , 2010 .

[9]  Anders Robertsson,et al.  Sensor Fusion for Compliant Robot Motion Control , 2008, IEEE Transactions on Robotics.

[10]  Alexander Verl,et al.  Development of validation methods for the safety of mobile service robots with manipulator , 2012, ROBOTIK.

[11]  Masayoshi Tomizuka,et al.  Disturbance observer based hybrid impedance control , 1995, Proceedings of 1995 American Control Conference - ACC'95.

[12]  Yoichi Hori,et al.  Design and Analysis of Force-Sensor-Less Power-Assist Control , 2014, IEEE Transactions on Industrial Electronics.

[13]  Yoichi Hori,et al.  Integrated Motion Control of a Wheelchair in the Longitudinal, Lateral, and Pitch Directions , 2008, IEEE Transactions on Industrial Electronics.

[14]  John Kenneth Salisbury,et al.  Playing it safe [human-friendly robots] , 2004, IEEE Robotics & Automation Magazine.

[15]  Yoichi Hori,et al.  Robust speed control of DC servomotors using modern two degrees-of-freedom controller design , 1991 .

[16]  Ho-Sung Kang,et al.  Three-Dimensional Human Head Finite-Element Model Validation Against Two Experimental Impacts , 1999, Annals of Biomedical Engineering.

[17]  Slavka Viteckova,et al.  Wearable lower limb robotics: A review , 2013 .

[18]  Bruno Siciliano,et al.  Integration for the next generation: embedding force control into industrial robots , 2005, IEEE Robotics & Automation Magazine.

[19]  Daniel Vélez Día,et al.  Biomechanics and Motor Control of Human Movement , 2013 .

[20]  Toshiyuki Murakami,et al.  Power-Assist Control of Pushing Task by Repulsive Compliance Control in Electric Wheelchair , 2012, IEEE Transactions on Industrial Electronics.

[21]  Blake Hannaford,et al.  The Effect of Interaction Force Estimation on Performance in Bilateral Teleoperation , 2012, IEEE Transactions on Haptics.

[22]  Shahid Hussain,et al.  An Adaptive Wearable Parallel Robot for the Treatment of Ankle Injuries , 2014, IEEE/ASME Transactions on Mechatronics.

[23]  Yoichi Hori,et al.  Force sensor-less assist control design based on two-degree-of-freedom control , 2009, 2009 ICCAS-SICE.

[24]  Erik G. Takhounts,et al.  DEVELOPMENT OF IMPROVED INJURY CRITERIA FOR THE ASSESSMENT OF ADVANCED AUTOMOTIVE RESTRAINT SYSTEMS - II , 1999 .