Abstract
In this paper, a data-driven multi-input multi-output discrete-Time predictive model-free adaptive integral terminal sliding mode controller is proposed for the robotic manipulators driven by pneumatic artificial muscles with unknown models and external disturbances. First, using the concept of compact-form dynamic linearization technique, dynamics of the robotic manipulator are represented in discrete-Time linear data-model form. Second, a time-delay based estimation algorithm along with an adaptive law is investigated to estimate external disturbances and pseudo-Jacobian matrix, respectively. Eventually, the proposed controller is derived based on a data-driven discrete-Time integral terminal sliding function and by utilizing the concept of model-predictive controllers. The simulation results obviously clarify the efficacy of the proposed method.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2019 6th International Conference on Control, Instrumentation and Automation, ICCIA 2019 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Number of pages | 8 |
| ISBN (Electronic) | 9781728158150 |
| ISBN (Print) | 9781728158167 |
| DOIs | |
| Publication status | Published - 12 Mar 2020 |
| Externally published | Yes |
| Event | 6th International Conference on Control, Instrumentation and Automation, - Sanandaj, Iran, Islamic Republic of Duration: 30 Oct 2019 → 31 Oct 2019 Conference number: 6 |
Conference
| Conference | 6th International Conference on Control, Instrumentation and Automation, |
|---|---|
| Abbreviated title | ICCIA 2019 |
| Country/Territory | Iran, Islamic Republic of |
| City | Sanandaj |
| Period | 30/10/19 → 31/10/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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