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Department of Applied Mechanics – Budapest University of Technology and Economics Dynamics of rehabilitation robots – shake hands or hold hands? Dynamics of rehabilitation robots – shake hands or hold hands? G. Stépán, L. Kovács Department of Applied Mechanics Budapest University of Technology and Economics
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Department of Applied Mechanics – Budapest University of Technology and Economics Contents -Introduction: force control -Motivation -Turbine blade polishing -Human force control -Rehabilitation robotics -1 DoF model of force control -Digital effect: sampling -Theoretical and experimental stability charts -Conclusion: bifurcations
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Department of Applied Mechanics – Budapest University of Technology and Economics Position control 1 DoF models x Blue trajectories: Q = 0 Pink trajectories: Q = – Px – Dx
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Department of Applied Mechanics – Budapest University of Technology and Economics Force control Desired contact force: F d = ky d ; Sensed force: F s = ky Control force: Q = – P(F d – F s ) – DF s + F s or d
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Department of Applied Mechanics – Budapest University of Technology and Economics Stabilization (balancing) Control force: Q = – Px – Dx Special case of force control: with k < 0
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Department of Applied Mechanics – Budapest University of Technology and Economics Modelling digital control Special cases of force control: - position control with zero stiffness (k = 0) - stabilization with negative stiffness (k < 0) Digital effects: - quantization in time: sampling – linear - quantization in space: round-off errors at ADA converters – non-linear
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Department of Applied Mechanics – Budapest University of Technology and Economics Alice’s Adventures in Wonderland Lewis Carroll (1899)
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Department of Applied Mechanics – Budapest University of Technology and Economics Contents -Introduction: force control -Motivation -Turbine blade polishing -Human force control -Rehabilitation robotics -1 DoF model of force control -Digital effect: sampling -Theoretical and experimental stability charts -Conclusion: bifurcations
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Department of Applied Mechanics – Budapest University of Technology and Economics Motivation -Polishing turbine blade (Newcastle/Parsons robot) -Rehabilitation robotics (human/machine contact) -Coupling force control (CFC) (between truck and trailer)* -Electronic brake force control (added to ABS systems)* * Knorr-Bremse
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Department of Applied Mechanics – Budapest University of Technology and Economics Motivation -Polishing turbine blade (Newcastle/Parsons robot) -Rehabilitation robotics (human/machine contact) -Coupling force control (CFC) (between truck and trailer)* -Electronic brake force control (added to ABS systems)* * Knorr-Bremse
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Department of Applied Mechanics – Budapest University of Technology and Economics Motivation -Polishing turbine blade (Newcastle/Parsons robot) -Rehabilitation robotics (human/machine contact) -Coupling force control (CFC) (between truck and trailer)* -Electronic brake force control (added to ABS systems)* * Knorr-Bremse
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Department of Applied Mechanics – Budapest University of Technology and Economics Motivation -Polishing turbine blade (Newcastle/Parsons robot) -Rehabilitation robotics (human/machine contact) -Coupling force control (CFC) (between truck and trailer)* -Electronic brake force control (added to ABS systems)* * Knorr-Bremse
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Department of Applied Mechanics – Budapest University of Technology and Economics Contents -Introduction: force control -Motivation -Turbine blade polishing -Human force control -Rehabilitation robotics -1 DoF model of force control -Digital effect: sampling -Theoretical and experimental stability charts -Conclusion: bifurcations
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Department of Applied Mechanics – Budapest University of Technology and Economics Turbine blade polishing
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Department of Applied Mechanics – Budapest University of Technology and Economics Mechanical model of polishing m r = 2500 [kg] b r = 32 [Ns/mm] C = 150 [N] m s = 0.95 [kg] b s = 2 [Ns/m(!)] k s = 45 [Ns/mm] m e = 4.43 [kg] b e = 3 [Ns/m(!)] k s = 13 [Ns/mm] F d = 50 [N]
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Department of Applied Mechanics – Budapest University of Technology and Economics Experimental stability chart
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Department of Applied Mechanics – Budapest University of Technology and Economics Self-excited oscillation – Hopf bifurcation
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Department of Applied Mechanics – Budapest University of Technology and Economics Time-history and spectrum
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Department of Applied Mechanics – Budapest University of Technology and Economics Contents -Introduction: force control -Motivation -Turbine blade polishing -Human force control -Rehabilitation robotics -1 DoF model of force control -Digital effect: sampling -Theoretical and experimental stability charts -Conclusion: bifurcations
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Department of Applied Mechanics – Budapest University of Technology and Economics Human force control “Good memory causes trouble” Meeting others on narrow corridors oscillations caused by the delay of our reflexes Why do we “shake” hands?
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Department of Applied Mechanics – Budapest University of Technology and Economics Hemingway, E., The Old Man and the Sea (1952) Santiago plays arm-wrestling in a pub of Casablanca
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Department of Applied Mechanics – Budapest University of Technology and Economics Human-robotic force control Dexter cartoon
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Department of Applied Mechanics – Budapest University of Technology and Economics Contents -Introduction: force control -Motivation -Turbine blade polishing -Human force control -Rehabilitation robotics -1 DoF model of force control -Digital effect: sampling -Theoretical and experimental stability charts -Conclusion: bifurcations
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Department of Applied Mechanics – Budapest University of Technology and Economics Rehabilitation robotics IRB 1400 H IRB 140 Couch Touch screen Control panel Operation mode selector Safety switch Etc. Instrumented orthosis Frame Stack lights Start pedal
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Department of Applied Mechanics – Budapest University of Technology and Economics The safety relaxer
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Department of Applied Mechanics – Budapest University of Technology and Economics The instrumented orthosis Robot Safety relaxer mechanism (SRM) 6 DOF force/torque transducer #1 Quick changer #1 6 DOF force/torque transducer #2 Quick changer #2 Orthosis shell Handle (the so-called safeball) Teaching-in device
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Department of Applied Mechanics – Budapest University of Technology and Economics Mechanical model of relaxer
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Department of Applied Mechanics – Budapest University of Technology and Economics Force control during teaching-in Sampling time at outer loop with 60 [ms] Sampling time at force sensor with t 4 [ms] F d 0 F e,n x d,n x n-1 x d,n DSP (or PC) x n-L Fm,nFm,n force control robot - controller robot arm + teaching-in device force / torque acquisition deadtime 400ms !
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Department of Applied Mechanics – Budapest University of Technology and Economics Delay and vibrations
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Department of Applied Mechanics – Budapest University of Technology and Economics Delay and vibrations
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Department of Applied Mechanics – Budapest University of Technology and Economics Delay and vibrations
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Department of Applied Mechanics – Budapest University of Technology and Economics Contents -Introduction: force control -Motivation -Turbine blade polishing -Human force control -Rehabilitation robotics -1 DoF model of force control -Digital effect: sampling -Theoretical and experimental stability charts -Conclusion: bifurcations
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Department of Applied Mechanics – Budapest University of Technology and Economics 1 DoF model of force control Equation of motion: Equilibrium: Force error: (Craig ’86) Stability for,
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Department of Applied Mechanics – Budapest University of Technology and Economics Contents -Introduction: force control -Motivation -Turbine blade polishing -Human force control -Rehabilitation robotics -1 DoF model of force control -Digital effect: sampling -Theoretical and experimental stability charts -Conclusion: bifurcations
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Department of Applied Mechanics – Budapest University of Technology and Economics Modelling sampling Time delay and zero-order-holder (ZOH) Dimensionless time
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Department of Applied Mechanics – Budapest University of Technology and Economics Modelling sampling Sampling time is , the j th sampling instant is t j = j Natural frequency: Sampling frequency: dim.less time: T = t/ Dimensionless equations of motion: x(j), x’(j) B 1,B 2
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Department of Applied Mechanics – Budapest University of Technology and Economics Contents -Introduction: force control -Motivation -Turbine blade polishing -Human force control -Rehabilitation robotics -1 DoF model of force control -Digital effect: sampling -Theoretical and experimental stability charts -Conclusion: bifurcations
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Department of Applied Mechanics – Budapest University of Technology and Economics Stability of digital force control stability Parameters: and
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Department of Applied Mechanics – Budapest University of Technology and Economics Checking | 1,2,3 |<1 algebraically Routh-Hurwitz
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Department of Applied Mechanics – Budapest University of Technology and Economics Stability chart of force control Vibration frequency: 0 < f < f s /2 Maximum gain: Minimum force error:
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Department of Applied Mechanics – Budapest University of Technology and Economics Effect of viscous damping Damping ratio : 0.04 and 0.5
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Department of Applied Mechanics – Budapest University of Technology and Economics Experimental verification
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Department of Applied Mechanics – Budapest University of Technology and Economics Experimental verification Damping ratio = 0.04 P [ms]
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Department of Applied Mechanics – Budapest University of Technology and Economics Differential gain D in force control Sampling at the force sensor with t = q :
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Department of Applied Mechanics – Budapest University of Technology and Economics Stability chart and bifurcations Dimensionless differential gain D n = 0.1
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Department of Applied Mechanics – Budapest University of Technology and Economics Stability chart and bifurcations Dimensionless differential gain D n = 1.0
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Department of Applied Mechanics – Budapest University of Technology and Economics Conclusions -All the 3 kinds of co-dimension 1 bifurcations arise in digital force control (Neimark-Sacker, flip, fold) -Application of differential gain leads to loss of stable parameter regions -Force derivative signal can be filtered with the help of sampling, but stability properties do not improve -Do not use differential gain in force control
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Department of Applied Mechanics – Budapest University of Technology and Economics
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