Page 183 - IJOCTA-15-4
P. 183
African vultures optimization-based hybrid neural network–proportional-integral-derivative controller...
12. Esmail AA, Lee TS, My CA, Mohammed MQ. 24. G¨um¨u¸s MS, C¸akan A, Kalyoncu M. Cascade pro-
Robust P-H integrated controller for flexible link portional derivative controller for a flexible link
manipulator system in the presence of distur- robot manipulator using the Bees Algorithm. AP-
bance. J Appl Comput Mech. 2021;7(2):646-654. JESS. 2023;11(1):27-34.
https://doi.org/10.22055/JACM.2020.35475.2668 https://doi.org/10.21541/apjess.1084875
13. Villa-Tiburcio JF, Estrada-Torres JA, 25. Nohooji HR. Constrained neural adaptive PID
Hern´andez-Alvarado R, Montes-Mart´ınez JR, control for robot manipulators. J Frank Inst.
Bringas-Posadas D, Franco-Urquiza EA. ANN 2020;357(7):3907-3923.
enhanced hybrid force/position controller of https://doi.org/10.1016/j.jfranklin.2019.12.042
robot manipulators for fiber placement. Robotics. 26. Chuyen TD, Doan HV, Minh PV, Thong VV. De-
2024;13(7):105. sign of robust adaptive controller for industrial ro-
https://doi.org/10.3390/robotics13070105 bot based on sliding mode control and neural net-
14. Bankole AT, Igbonoba EEC. A novel hybrid pro- work. Int J Mech Eng Robot Res. 2023;12(3):183-
portional derivative/H-infinity controller design 189.
for improved trajectory tracking of a two-link ro- https://doi.org/10.18178/ijmerr.12.3.145-150
bot arm. Res Sq. 2022. 27. Mohamed MJ, Oleiwi BK, Azar AT, Mahlous
https://doi.org/10.21203/rs.3.rs-2193905/v1 AR. Hybrid controller with neural network
15. Fani D, Shahraki E. Two-link robot manipulator PID/FOPID operations for two-link rigid robot
using fractional order PID controllers optimized manipulator based on the zebra optimization al-
by evolutionary algorithms. Biosci Biotech Res gorithm. Front Robot AI. 2024;11:1386968.
Asia. 2016;13(1):389-396. https://doi.org/10.3389/frobt.2024.1386968
https://doi.org/10.13005/bbra/2075 28. Chotikunnan P, Chotikunnan R. Dual design PID
16. Anwaar H, Yixin Y, Ijaz S, Ashraf MA, Anwaar controller for robotic manipulator application. J
W. Fractional order based computed torque con- Robot Control. 2023;4(1):23-34.
trol of 2-link robotic arm. Adv Sci Technol Res J. https://doi.org/10.18196/jrc.v4i1.16990
2018;12(1):273-284. 29. Mary AH, Al-Talabi A, Kara T, Muneam DS, Al-
https://doi.org/10.12913/22998624/85658 muhanna MY, Mayyahi LAK. Adaptive robust
17. Khalil I, Sharkawy AB. A hybrid PID control tracking control of robotic manipulator based on
scheme for flexible joint manipulators and a com- SMC and fuzzy control strategy. Al-Khwarizmi
parison with sliding mode control. Ain Shams Eng Eng J. 2024;20(1):63-75.
J. 2018;9(4):3451-3457. https://doi.org/10.22153/kej.2024.11.002
https://doi.org/10.1016/j.asej.2018.01.004 30. Coutinho AG, Hess-Coelho TA. Improving the
18. Vineet K, Rana KPS, Kler D. Efficient control performance of parallel robots by applying
of a 3-link planar rigid manipulator using self- distinct hybrid control techniques. Robotica.
regulated fractional-order fuzzy PID controller. 2022;40(4):951-975.
Appl Soft Comput. 2019;82:105531. https://doi.org/10.1017/S0263574721000874
https://doi.org/10.1016/j.asoc.2019.105531 31. Yahya RJ, Abbas NH. Adaptive optimal trajec-
19. Ahmad SG, El-Gohary MA, Elksas MS, Areed tory tracking control for four flexible joint robot
FG. Three link rigid manipulator control using manipulator. Int J Intell Eng Syst. 2022;15(2):1-
improved neural network based PID controller . 12.
Int J Neural Netw Adv Appl. 2019;6:60-67. https://doi.org/10.22266/ijies2022.0430.01
20. Kumar J, Kumar V, Rana KPS. Fractional- 32. C¸etinkaya MB, Yildirim K, Yildirim S¸. Trajec-
order self-tuned fuzzy PID controller for three- tory analysis of 6-DOF industrial robot manipu-
link robotic manipulator system. Neural Comput lators by using artificial neural networks. Sensors
Appl. 2020;32(11):7235-7257. (Basel). 2024;24(13):4416.
https://doi.org/10.1007/s00521-019-04215-8 https://doi.org/10.3390/s24134416
21. Tohma DH, Hamoudi AK. Design of adaptive 33. Al-Khayyt S. Tuning PID controller by neural
sliding mode controller for uncertain pendulum network for robot manipulator trajectory track-
system. Eng Technol J. 2021;39(3):355-369. ing. Al-Khwarizmi Eng J. 2017;9(1):19-28.
https://doi.org/10.30684/etj.v39i3A.1546 34. Adnan A, Karam HE. Optimal improved
22. Zhu D, Du B, Zhu P, Chen S. Constant force PID controller with GOA algorithm for sin-
PID control for robotic manipulator based on gle link human leg robot. J Eng Sustain Dev.
fuzzy neural network algorithm. Complexity. 2022;26(2):103-110.
2020;2020:3491845. https://doi.org/10.31272/jeasd.26.2.10
https://doi.org/10.1155/2020/3491845 35. Yadav S, Kumar S, Goyal M. PID tuning and
23. Sathish Kumar A, Naveen S, Vijayakumar R, et stability analysis of hybrid controller for robotic
al. An intelligent fuzzy-particle swarm optimiza- arm using ZN, PSO, ACO, and GA. Int Rev Mech
tion supervisory-based control of robot manipu- Eng. 2022;16(5):257-264.
lator for industrial welding applications. Sci Rep. https://doi.org/10.15866/ireme.v16i5.21982
2023;13:8253. 36. Abdulameer HI, Mohamed MJ. Fractional or-
https://doi.org/10.1038/s41598-023-35189-2 der fuzzy PID controller design for 2-link
725

