On the Stability of a Friction Compensation Strategy for Flexible-Joint Manipulators
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Bibliographic record
Abstract
Abstract A new control strategy for flexible-joint manipulators with joint friction is proposed. The proposed controller includes two main components: a friction compensating torque, and a composite controller torque to compensate for the friction in the joints and the flexibility of the joints, respectively. The novel approach that is used to compensate for the friction in the joints includes a nonlinear one-state LuGre model and a PD control. The second method of Lyapunov is utilized to find sufficient conditions for the global asymptotic stability of the friction compensating torque and it is shown that the tracking error is bounded as long as appropriate PD gains are chosen. The performance of the proposed controller is experimentally verified using a setup of a two-rigid-link flexible-joint manipulator. Experimental results are presented for different flexibilities of the joints and also for different desired trajectories. These results demonstrate the high performance of the controller under different situations while the tracking error remains very small. Keywords: FLEXIBLE JOINT MANIPULATORSTABILITYJOINT FRICTION
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it