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Robust and Smooth Force Sensor-less 
Power Assist Control 
V. Salvucci S. Oh H. Fujimoto Y. Hori 
The University of Tokyo
Outline 
1 Power Assist Robots without Force Sensor? 
2 Proposed Force Sensor-Less Power Assist Control 
3 Results 
Human Input Based Evaluation 
Rigorous Experimental Verification 
4 Conclusions
Outline 
1 Power Assist Robots without Force Sensor? 
2 Proposed Force Sensor-Less Power Assist Control 
3 Results 
Human Input Based Evaluation 
Rigorous Experimental Verification 
4 Conclusions
Power Assist Robots without Force Sensor? 
Can we control these robots by estimating the user force with cheap sensors?
Why without Force Sensors? 
Control key point 
Knowledge of user’s applied force 
1 Force Sensor 
2 Force Sensor-less Control 
(encoder based) 
Why without force sensors? 
Advantages 
Low cost 
Low weight 
Compactness 
Faster Response: No delay in force 
measurement 
Safety: the robot is a sensor 
Difficulties 
Robustness (ex: friction non-linearities) 
Difficult to provide smooth assistance
Outline 
1 Power Assist Robots without Force Sensor? 
2 Proposed Force Sensor-Less Power Assist Control 
3 Results 
Human Input Based Evaluation 
Rigorous Experimental Verification 
4 Conclusions
Force Sensor-Less Power Assist Control (FSPAC) 
Constant gain [Oh 2008] 
Based on disturbance observer for: 
Disturbance rejection 
Force-to-assist estimation 
Variable Gain [Salvucci 2010] 
VD-TG = Velocity Dependent 
Triangular Gain (i.e. variable 
impedance)
VD-TG = Velocity Dependent Triangular Gain 
|va| VD-TG why 
|va| < |v1| 0 no assistance stability in unknown environment 
|va|  |v2| high high assistance at low speed to overcome inertia 
|va| ! |v3| decrease low assistance at high and dangerous speed
Outline 
1 Power Assist Robots without Force Sensor? 
2 Proposed Force Sensor-Less Power Assist Control 
3 Results 
Human Input Based Evaluation 
Rigorous Experimental Verification 
4 Conclusions
Human Input for a “Feeling” Evaluation 
No assistance 
Low backdrivability 
Conventional FSPAC 
Not smooth 
(oscillatory 
movements) 
Unstable 
Not Robust 
Proposed FSPAC 
Smooth 
Stable 
Robust
Experimental Apparatus 
High Back-drivable System 
Actuators: 1 linear motor 
Sensors: 1 linear encoder 
Motion is transmitted to the door 
through the linear motor 
! low friction, and high 
back-drivable 
Low Back-drivable System 
Actuators: 1 AC motor 
Sensors: 1 rotary encoder 
Motion is transmitted to the door 
through the ball screw system 
! high friction, and low 
back-drivable
Experiment Input 
Constant-force (in absolute value) input 
Applied on the doors’ end from position 1 (left) to 2 (right)
Experimental Results for Low Friction Systems
Experimental Results for Low Back-drivable Systems
Outline 
1 Power Assist Robots without Force Sensor? 
2 Proposed Force Sensor-Less Power Assist Control 
3 Results 
Human Input Based Evaluation 
Rigorous Experimental Verification 
4 Conclusions
FSPAC with Variable Impedance Works 
Proposal 
A simple-to-implement Variable Impedance Controller for Power Assist 
Robots with low cost Position Sensors 
Advantages 
1 Higher robustness: 
Experimentally stable for different humidity and room temperature 
conditions (i.e. friction modeling error) 
2 Smoother assistance: 
Higher assistance to the user at low velocities (=assistance when needed!) 
Better input tracking 
3 Higher safety: 
No oscillatory torque references and velocities that can cause instability
Thank you for your kind attention 
Hori-Fujimoto Lab 
— Eco and Human-friendly Motion Control—
References 
S. Oh and Y. Hori. Generalized discussion on design of force-sensor-less power assist 
control. In Advanced Motion Control, 2008. AMC ’08. 10th IEEE International 
Workshop on, pages 492–497, 2008. 
V. Salvucci, S. Oh, and Y. Hori. New approach to force Sensor-Less power assist 
control for high friction and high inertia systems. In Industrial Electronics (ISIE), 
IEEE International Symposium on, pages 3559–3564, 2010.

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Robust and Smooth Force Sensor-less Power Assist Control

  • 1. Robust and Smooth Force Sensor-less Power Assist Control V. Salvucci S. Oh H. Fujimoto Y. Hori The University of Tokyo
  • 2. Outline 1 Power Assist Robots without Force Sensor? 2 Proposed Force Sensor-Less Power Assist Control 3 Results Human Input Based Evaluation Rigorous Experimental Verification 4 Conclusions
  • 3. Outline 1 Power Assist Robots without Force Sensor? 2 Proposed Force Sensor-Less Power Assist Control 3 Results Human Input Based Evaluation Rigorous Experimental Verification 4 Conclusions
  • 4. Power Assist Robots without Force Sensor? Can we control these robots by estimating the user force with cheap sensors?
  • 5. Why without Force Sensors? Control key point Knowledge of user’s applied force 1 Force Sensor 2 Force Sensor-less Control (encoder based) Why without force sensors? Advantages Low cost Low weight Compactness Faster Response: No delay in force measurement Safety: the robot is a sensor Difficulties Robustness (ex: friction non-linearities) Difficult to provide smooth assistance
  • 6. Outline 1 Power Assist Robots without Force Sensor? 2 Proposed Force Sensor-Less Power Assist Control 3 Results Human Input Based Evaluation Rigorous Experimental Verification 4 Conclusions
  • 7. Force Sensor-Less Power Assist Control (FSPAC) Constant gain [Oh 2008] Based on disturbance observer for: Disturbance rejection Force-to-assist estimation Variable Gain [Salvucci 2010] VD-TG = Velocity Dependent Triangular Gain (i.e. variable impedance)
  • 8. VD-TG = Velocity Dependent Triangular Gain |va| VD-TG why |va| < |v1| 0 no assistance stability in unknown environment |va| |v2| high high assistance at low speed to overcome inertia |va| ! |v3| decrease low assistance at high and dangerous speed
  • 9. Outline 1 Power Assist Robots without Force Sensor? 2 Proposed Force Sensor-Less Power Assist Control 3 Results Human Input Based Evaluation Rigorous Experimental Verification 4 Conclusions
  • 10. Human Input for a “Feeling” Evaluation No assistance Low backdrivability Conventional FSPAC Not smooth (oscillatory movements) Unstable Not Robust Proposed FSPAC Smooth Stable Robust
  • 11. Experimental Apparatus High Back-drivable System Actuators: 1 linear motor Sensors: 1 linear encoder Motion is transmitted to the door through the linear motor ! low friction, and high back-drivable Low Back-drivable System Actuators: 1 AC motor Sensors: 1 rotary encoder Motion is transmitted to the door through the ball screw system ! high friction, and low back-drivable
  • 12. Experiment Input Constant-force (in absolute value) input Applied on the doors’ end from position 1 (left) to 2 (right)
  • 13. Experimental Results for Low Friction Systems
  • 14. Experimental Results for Low Back-drivable Systems
  • 15. Outline 1 Power Assist Robots without Force Sensor? 2 Proposed Force Sensor-Less Power Assist Control 3 Results Human Input Based Evaluation Rigorous Experimental Verification 4 Conclusions
  • 16. FSPAC with Variable Impedance Works Proposal A simple-to-implement Variable Impedance Controller for Power Assist Robots with low cost Position Sensors Advantages 1 Higher robustness: Experimentally stable for different humidity and room temperature conditions (i.e. friction modeling error) 2 Smoother assistance: Higher assistance to the user at low velocities (=assistance when needed!) Better input tracking 3 Higher safety: No oscillatory torque references and velocities that can cause instability
  • 17. Thank you for your kind attention Hori-Fujimoto Lab — Eco and Human-friendly Motion Control—
  • 18. References S. Oh and Y. Hori. Generalized discussion on design of force-sensor-less power assist control. In Advanced Motion Control, 2008. AMC ’08. 10th IEEE International Workshop on, pages 492–497, 2008. V. Salvucci, S. Oh, and Y. Hori. New approach to force Sensor-Less power assist control for high friction and high inertia systems. In Industrial Electronics (ISIE), IEEE International Symposium on, pages 3559–3564, 2010.