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Bi-Level Adaptive Computed-Current Impedance Controller for Electrically Driven Robots
| Content Provider | Scilit |
|---|---|
| Author | Mohsen, Jalaeian- F. Fateh, Mohammad Mehdi Rahimiyan, Morteza |
| Copyright Year | 2020 |
| Description | SUMMARY This paper presents a bi-level adaptive computed-current impedance controller for electrically driven robots. This study aims to reduce calculation complexities by utilizing the electrical equations of actuators, instead of the entire model of the electromechanical system. Moreover, taking the dynamical effects of mechanical parts into account through the current’s feedback, external disturbances are compensated. In order to handle uncertainties, a bi-level optimization problem is formulated to obtain guaranteed stability besides the estimation convergence. An adaptation rule and its optimal tuning gain are achieved. The proposed method is applied to control of a rehabilitation robot to evaluate its performance. |
| Related Links | https://www.cambridge.org/core/services/aop-cambridge-core/content/view/93CAA59B00965D809D2BA528ACC263A2/S0263574720000314a.pdf/div-class-title-bi-level-adaptive-computed-current-impedance-controller-for-electrically-driven-robots-div.pdf |
| Ending Page | 216 |
| Page Count | 17 |
| Starting Page | 200 |
| ISSN | 02635747 |
| e-ISSN | 14698668 |
| DOI | 10.1017/s0263574720000314 |
| Journal | Robotica |
| Issue Number | 2 |
| Volume Number | 39 |
| Language | English |
| Publisher | Cambridge University Press (CUP) |
| Publisher Date | 2021-02-01 |
| Access Restriction | Open |
| Subject Keyword | Robotica Cybernetical Science Electrically Driven Robots (edrs) Rehabilitation Robot level Optimization Problem (blop) level Adaptive Control Impedance Control |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Optimization Artificial Intelligence Rehabilitation Control and Systems Engineering Mechanical Engineering Computational Mechanics Modeling and Simulation Computer Science Applications Computer Vision and Pattern Recognition Software |