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Annunziata, Salvatore: Bio-inspired control concepts for elastic rotatory joint drives. 2014
Inhalt
Title
Acknowledgement
Abstract
Table of Contents
1 Introduction
1.1 Classical stiff actuators versus compliant robotics joints
1.2 From biological systems to safe robots
1.3 Thesis organization
2 Mechanical impedance properties of muscle-joint systems
2.1 Musculoskeletal joint setup
2.1.1 Hill-type muscle model
2.1.2 Antagonistic joint geometries with two muscles
2.1.3 Simplified model of the human elbow joint with a pulley
2.2 Mechanical impedance in a pulley hinge joint geometry
2.2.1 Reciprocal activation and co-activation of muscles
2.2.2 Joint stiffness computation
2.2.3 Joint viscosity computation
2.3 Stiffness nodes in the joint range of motion
2.3.1 Regions in the joint range of motion resulting from overlap of the force-length curves
2.3.2 Stiffness nodes evaluation for a pulley hinge joint geometry
2.3.3 Active force-length function approximation: cubic spline interpolation
2.3.4 Stiffness nodes prediction for different force-length curve approximations
2.3.5 Integration of a compliant tendon in the muscle model
2.4 Summary
3 Control approaches to increase the stiffness variability in multi-muscle driven joints
3.1 Introduction
3.2 Concurrent torque/stiffness control in the presence of stiffness nodes
3.2.1 Stiffness generated by two muscle pairs in a pulley joint
3.2.2 Control approach adopting reciprocal activation and co-activation (dedicated muscles)
3.2.3 Stiffness node control strategy
3.2.4 Simulation results for a fixed joint position
3.3 Optimal stiffness variation across a wide joint range of motion
3.3.1 Muscle parameters optimization process
3.3.2 Analysis of the optimal muscle setup
3.4 Torque/stiffness control approaches adopting the optimal muscle setup
3.4.1 Activation overflow strategy
3.4.2 Open-loop strategy with inverse model and activation overflow
3.4.3 Closed-loop control with inverse model and activation overflow
3.4.4 Response time comparison
3.5 Summary
4 Bio-inspired control laws adopting antagonistic muscle actuation in a simplified elbow joint setup
4.1 Stability analysis of an antagonistically actuated hinge joint setup with a pulley
4.2 Bio-inspired control strategy for stable compliant joints
4.2.1 Basic concurrent position/stiffness control
4.2.2 Biological feedback system for the control of a single muscle
4.2.3 Bio-inspired position controller
4.2.4 Bio-inspired stiffness controller
4.3 Bio-inspired position/stiffness control and simulation results
4.4 Summary
5 Application of the bio-inspired control laws on a compliant rotatory joint drive
5.1 Compliant robotics joint drive: design and identification
5.1.1 Mechatronic setup
5.1.2 Elastomer coupling model
5.1.3 Mechanical model of the compliant joint drive
5.2 Identification of the joint drive model parameters
5.2.1 Moments of inertia and gearbox torsional stiffness
5.2.2 Motor side friction
5.2.3 Parameters optimization through gray-box identification
5.3 Control of the loaded joint with fast system dynamics
5.3.1 Motor speed control and friction compensation
5.3.2 Output torque control design
5.3.3 Output position control
5.3.4 Mechanical impedance analysis
5.4 Experimental results
5.4.1 PD position control (as reference)
5.4.2 Bio-inspired interaction control
5.5 Summary
6 Discussion
6.1 Bio-inspired control achievements
6.2 Musculoskeletal model and its limitations
6.3 Implications of stiffness node analysis
6.4 Implications of a multi-muscle setup
6.5 Implications of the stability analysis for the muscle-driven hinge joint
6.6 Advantages for other research and future work
Bibliography