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Passive Decoupled Multitask Controller for Redundant Robots
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AI
DOI：10.1109/TCST.2022.3162990.png)
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Abstract
En 中文
Kinematic redundancy in robots makes it possible to execute several control tasks simultaneously. As some tasks are usually more important than others, it is reasonable to dynamically decouple them in order to ensure their execution in a hierarchical way or even without any interference at all. The most widely used technique is to decouple the system by feedback linearization. However, this requires actively shaping the inertia and consequently modifying the natural dynamics of the robot. Here, we propose a passivity-based multitask tracking controller that preserves these inertial properties but fully compensates for task-space cross couplings using external-force feedback. In addition, three formal proofs are provided: uniform exponential stability for trajectory tracking, passivity during physical interaction, and input-to-state stability. The controller is validated in simulations and experiments and directly compared with the hierarchical PD+ approach and the feedback linearization. The proposed approach is well suited for safe physical human-robot interaction and dynamic trajectory tracking if measurements or estimations of the external forces are available.
Keywords:
Task analysis
Robots
Trajectory tracking
Symmetric matrices
Jacobian matrices
Impedance
Feedback linearization
Multitask control
nonlinear systems
physical interaction
redundant robots
stability
trajectory tracking
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