Yes / A fuzzy neural Petri Nets (FNPN) controller is utilized for controlling a three-links robot arm which considers a nonlinear dynamic system. The incorporation of the classical FNN with a Petri net (PN) has been suggested to produce a new representing system called FNPN structure to alleviate the computation burden. The motion equation of three links robot arm is derived from Lagrange’s equation. This equation has been incorporated with the motion equations of DC Servo motors which motivate the robot. For nonlinearity dynamic problems, this paper presents a direct adaptive control technique to control three links robot arm utilizing the FNPN controller. The computer simulation depicts that the present FNPN controller accomplished better performance with fast response and minimum error.
| Identifer | oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/19283 |
| Date | 11 December 2022 |
| Creators | Hady, S.A., Ali, A.A., Breesam, W.I., Saleh, A.L., Al-Yasir, Yasir I.A., Abd-Alhameed, Raed |
| Publisher | Inderscience Enterprises Ltd. |
| Source Sets | Bradford Scholars |
| Language | English |
| Detected Language | English |
| Type | Article, Accepted manuscript |
| Rights | ©2023 Inderscience Enterprises Ltd. Reproduced in accordance with the publisher's self-archiving policy., Unspecified |
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