Position control of robot manipulator: Design a novel SISO adaptive sliding mode fuzzy PD fuzzy sliding mode control.
This research focuses on design Single Input Single Output (SISO) adaptive sliding mode fuzzy PD fuzzy sliding mode algorithm with estimates the equivalent part derived in the Lyapunov sense. The stability of the closed-loop system is proved mathematically based on the Lyapunov method. Proposed meth...
| Main Authors: | , , , , |
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| פורמט: | Article |
| יצא לאור: |
2011
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| _version_ | 1825925303190421504 |
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| author | Sulaiman, Nasri Piltan, Farzin Allahdadi, Sadeq Dialame, Mohammadali Abbas, Zulkifly |
| author_facet | Sulaiman, Nasri Piltan, Farzin Allahdadi, Sadeq Dialame, Mohammadali Abbas, Zulkifly |
| author_sort | Sulaiman, Nasri |
| collection | UPM |
| description | This research focuses on design Single Input Single Output (SISO) adaptive sliding mode fuzzy PD fuzzy sliding mode algorithm with estimates the equivalent part derived in the Lyapunov sense. The stability of the closed-loop system is proved mathematically based on the Lyapunov method. Proposed method introduces a SISO fuzzy system to compensate for the model uncertainties of the system and eliminate the chattering by linear boundary layer method. This algorithm is used a SISO fuzzy system to alleviate chattering and to estimate the control gain in the control law and presented a scheme to online tune of sliding function. To attenuate the chattering phenomenon this method developed a linear boundary layer and the parameter of the sliding function is online tuned by adaptation laws. This algorithm will be analyzed and evaluated on robotic manipulators and design adaption laws of adaptive algorithms after that writing Lyapunov function candidates and prove the asymptotic convergence of the closed-loop system using Lyapunov stability theorem mathematically. Compare and evaluate proposed method and sliding mode algorithms under disturbance. In regards to the former, we will be looking at the availability of online tuning methodology and the number of fuzzy if-then rules inherent to the fuzzy system being used and the corresponding computational load. Our analysis of the results will be limited to tracking accuracy and chattering. |
| first_indexed | 2024-03-06T07:56:08Z |
| format | Article |
| id | upm.eprints-23185 |
| institution | Universiti Putra Malaysia |
| last_indexed | 2024-03-06T07:56:08Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | upm.eprints-231852015-01-07T07:23:12Z http://psasir.upm.edu.my/id/eprint/23185/ Position control of robot manipulator: Design a novel SISO adaptive sliding mode fuzzy PD fuzzy sliding mode control. Sulaiman, Nasri Piltan, Farzin Allahdadi, Sadeq Dialame, Mohammadali Abbas, Zulkifly This research focuses on design Single Input Single Output (SISO) adaptive sliding mode fuzzy PD fuzzy sliding mode algorithm with estimates the equivalent part derived in the Lyapunov sense. The stability of the closed-loop system is proved mathematically based on the Lyapunov method. Proposed method introduces a SISO fuzzy system to compensate for the model uncertainties of the system and eliminate the chattering by linear boundary layer method. This algorithm is used a SISO fuzzy system to alleviate chattering and to estimate the control gain in the control law and presented a scheme to online tune of sliding function. To attenuate the chattering phenomenon this method developed a linear boundary layer and the parameter of the sliding function is online tuned by adaptation laws. This algorithm will be analyzed and evaluated on robotic manipulators and design adaption laws of adaptive algorithms after that writing Lyapunov function candidates and prove the asymptotic convergence of the closed-loop system using Lyapunov stability theorem mathematically. Compare and evaluate proposed method and sliding mode algorithms under disturbance. In regards to the former, we will be looking at the availability of online tuning methodology and the number of fuzzy if-then rules inherent to the fuzzy system being used and the corresponding computational load. Our analysis of the results will be limited to tracking accuracy and chattering. 2011 Article PeerReviewed Sulaiman, Nasri and Piltan, Farzin and Allahdadi, Sadeq and Dialame, Mohammadali and Abbas, Zulkifly (2011) Position control of robot manipulator: Design a novel SISO adaptive sliding mode fuzzy PD fuzzy sliding mode control. International Journal of Artificial intelligence and Expert System, 2 (5). pp. 196-214. ISSN 2180-124X http://www.oalib.com/paper/2588886#.VKzV43tBZmQ |
| spellingShingle | Sulaiman, Nasri Piltan, Farzin Allahdadi, Sadeq Dialame, Mohammadali Abbas, Zulkifly Position control of robot manipulator: Design a novel SISO adaptive sliding mode fuzzy PD fuzzy sliding mode control. |
| title | Position control of robot manipulator: Design a novel SISO adaptive sliding mode fuzzy PD fuzzy sliding mode control. |
| title_full | Position control of robot manipulator: Design a novel SISO adaptive sliding mode fuzzy PD fuzzy sliding mode control. |
| title_fullStr | Position control of robot manipulator: Design a novel SISO adaptive sliding mode fuzzy PD fuzzy sliding mode control. |
| title_full_unstemmed | Position control of robot manipulator: Design a novel SISO adaptive sliding mode fuzzy PD fuzzy sliding mode control. |
| title_short | Position control of robot manipulator: Design a novel SISO adaptive sliding mode fuzzy PD fuzzy sliding mode control. |
| title_sort | position control of robot manipulator design a novel siso adaptive sliding mode fuzzy pd fuzzy sliding mode control |
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