Optimal Fuzzy-FOPID, Fuzzy-PID Control Schemes for Trajectory Tracking of 3DOF Robot Manipulator

Main Article Content

Worod Adris Shatnan
worod.adris@qu.edu.iq
https://orcid.org/0009-0009-2200-0822
Muhanad D. Hashim Almawlawe
Muhanad.almawlawe@qu.edu.iq
https://orcid.org/0000-0002-3862-9395
Mustafa Abd AL-Aress Jabur
mustafa.abd@alkadhum-col.edu.iq
https://orcid.org/0009-0006-5066-8545

Abstract

The present study explores the guidance of a robotic arm along a predefined path by implementing an optimal fuzzy fractional order PID controller-based control strategy. This method serves as a means to address the nonlinearity and unpredictability of the robotic manipulator, contingent upon the fuzzy logic controller's specifications and the employment of a clonal selection algorithm. The dynamic equation of the manipulator was considered as an initial point, followed by designing a fuzzy controller for this purpose. To validate the effectiveness of this approach, it was compared to other techniques, such as Fuzzy, Fuzzy-PID, and fuzzy-FOPID controllers, with PID and FOPID controller parameters optimized using clonal selection algorithms. Simulation results reveal that the fuzzy-FOPID variant outperformed other methods under varying load conditions and model uncertainties, using SIMULINK/MATLAB 2014a.

Article Details

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Articles
Author Biographies

Worod Adris Shatnan, Electronic &Communication Department / College of Engineering /Al-Qadisiyah University / Al-Qadisiyah, Iraq

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Muhanad D. Hashim Almawlawe, Electronic &Communication Department/ College of Engineering /Al-Qadisiyah University / Al-Qadisiyah, Iraq.

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Mustafa Abd AL-Aress Jabur, Computer Engineering Department / Imam Al-Kadhum College (IKC), Al-Qadisiyah, Iraq Email: mustafa.abd@alkadhum-col.edu.iq

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References

Huang SJ, Lian RJ. A Hybrid Fuzzy Logic and Neural Network Algorithm for Robot Motion Control. IEEE Transactions on Industrial Electronics 1997; 44(3): 408-417. DOI: https://doi.org/10.1109/41.585840

Majeed FA, Abdullah SA. Simulation and Analysis of an Intelligent Power System Stabilizer Using Fuzzy Logic. Tikrit Journal of Engineering Sciences 2020; 27(4): 70-86. DOI: https://doi.org/10.25130/tjes.27.4.08

Zhihong M, Palaniswami M. A robust tracking control scheme for Rigid Robotic Manipulators with Uncertain Dynamics. Computers & Electrical Engineering 1995; 21(3): 211-220. DOI: https://doi.org/10.1016/0045-7906(94)00021-8

Hussein AA. Load Frequency Control for Two-Area Multi-Source Interconnected Power System Using Intelligent Controllers. Tikrit Journal of Engineering Sciences 2018; 25(1): 78-86. DOI: https://doi.org/10.25130/tjes.25.1.12

Hamdi M, Lachiver G. A Novel Fuzzy Logic Algorithm for the Control of Industrial Robot Manipulators. Proceedings 1995 Canadian Conference on Electrical and Computer Engineering, Montreal, QC, Canada, 1995, pp. 318-321.

Ghali MB, Alouani AT. A Robust Trajectory Tracking Control of Industrial Robot Manipulators Using Fuzzy Logic. Proceedings of the Twenty-Seventh Southeastern Symposium on System Theory 1995 Mar 12-14; Starkville, MS, USA: p. 268-271.

Loc HD, Ha TT, Cuong NC. An Adaptive Fuzzy Logic Controller for Robot-Manipulator. International Journal of Advanced Robotic Systems 2004; 1(2): 115-117. DOI: https://doi.org/10.5772/5628

Wang Y, Huang X, Zhao L, Chai T. Observer-Based Robust Adaptive Fuzzy Tracking Control in Robot Arms. ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004 Dec 6-9; Kunming, China: pp. 2035-2040.

Sumathi P. Precise Tracking Control of Robot Manipulator Using Fuzzy Logic. IEEE International Conference on Mechatronics 2005. ICM'05 2005 Jul 10-12; Taipei, Taiwan: pp. 852-857.

Huang YC, Li THS. Fuzzy Terminal Sliding-Mode Controller for Robotic Manipulators. IEEE International Conference on Mechatronics 2005. ICM'05 2005 Jul 10-12; Taipei, Taiwan: pp. 858-863.

Ho H, Wong YK, Rad AB. Robust Fuzzy Tracking Control for Robotic Manipulators. Simulation Modelling Practice and Theory 2007; 15(7): 801-816. DOI: https://doi.org/10.1016/j.simpat.2007.04.008

Wai RJ, Yang ZW. Adaptive Fuzzy Neural Network Control Design via a T–S Fuzzy Model for a Robot Manipulator Including Actuator Dynamics. IEEE Transactions on Systems, Man, and Cybernetics Part B (Cybernetics) 2008; 38(5): 1326-1346. DOI: https://doi.org/10.1109/TSMCB.2008.925749

Alavandar S, Nigam MJ. Genetic Fuzzy Based Tracking Control of 3 DOF Robot Arm. First International Conference on Emerging Trends in Engineering and Technology 2008 Jul 16-18; Nagpur, India: pp. 547-552. DOI: https://doi.org/10.1109/ICETET.2008.75

Adhyaru DM, Patel J, Gianchandani R. Adaptive Neuro-Fuzzy Inference System Based Control of Robotic Manipulators. International Conference on Mechanical and Electrical (lCMET 2010) 2010 Sept10-12; Singapore: pp. 353-358. DOI: https://doi.org/10.1109/ICMET.2010.5598379

Khalat AA, Leena G, Ray G. An Adaptive Fuzzy Controller for Trajectory Tracking of Robot Manipulator. Intelligent Control and Automation 2011; 2(4): 364-370. DOI: https://doi.org/10.4236/ica.2011.24041

Manjeet, Khatri P. Trajectory Control of Two Link Robotic Manipulator Using Pid. Golden Research Thoughts 2013; 3(5): 1-7.

Dulaidi D. Modeling and Control of 6 DOF Industrial Robot Using Fuzzy Logic Controller. M.Sc. Thesis. Universiti Tun Hussein Onn Malaysia; Malaysia: 2014.

Baghli FZ, Lakhal Y, El Bakkali L, Hamdoun O. Design and simulation of Adaptive Neuro Fuzzy Inference System (ANFIS) controller for a robot manipulator. Second World Conference on Complex Systems (WCCS) 2014 Nov 10-12; Agadir, Morocco: pp. 298-303. DOI: https://doi.org/10.1109/ICoCS.2014.7060879

Hafezzadeh M, Masoumi H. Optimal Fuzzy Logic Controller Design for Robot Arm Control. Journal of Novel Applied Sciences 2015; 4: 1043-1048.

Zeng K, Luo G, WU M, Lai X. Trajectory Tracking for a 3-DOF Robot Manipulator Based on PSO and Adaptive Neuro-Fuzzy Inference System. 2016 35th Chinese Control Conference (CCC) 2016 Jul 27-29; Chengdu, China: pp. 973-977. DOI: https://doi.org/10.1109/ChiCC.2016.7553213

Yang T, Sun N, Fang Y, Xin X, Chen H. New Adaptive Control Methods for n-Link Robot Manipulators with Online Gravity Compensation: Design and Experiments. IEEE Transactions on Industrial Electronics 2022; 69(1): 539-548. DOI: https://doi.org/10.1109/TIE.2021.3050371

Shutnan WA, Abdalla TY. Optimal Fuzzy-Immune Fractional PID Control Scheme for Path Tracking of Robot manipulator. Basrah Journal for Engineering Science 2018; 18(2): 1-14. DOI: https://doi.org/10.33971/bjes.18.2.1

Amer AF, Sallam EA, Elawady WM. Fuzzy Pre-Compensated Fuzzy Self-Tuning Fuzzy PID Controller of 3 DOF Planar Robot Manipulators. IEEE/ASME International Conference on Advanced Intelligent Mechatronics 2010 Jul 6-9; Montreal, QC, Canada: pp. 599-604. DOI: https://doi.org/10.1109/AIM.2010.5695877

Karad S, Chatterji S, Suryawanshi P. Performance Analysis of Fractional Order PID Controller with the Conventional PID Controller for Bioreactor Control. International Journal of Scientific and Engineering Research 2012; 3(6): 1-6.

Kumar NS, Kumar JS. Investigation of Trajectory Tracking Fractional Order Controller for Robot Manipulator Employing Hil Simulation Technique. Journal of Electrical Engineering 2016; 16(4): 1-12.

Abd Alrazaaq SN. LabVIEW Based Fuzzy Controller Designed for a Microwave Oven. Tikrit Journal of Engineering Sciences 2016; 23(1):61-68. DOI: https://doi.org/10.25130/tjes.23.1.07

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