Selection and Evaluation of Robotic Arm based Conveyor Belts (RACBs) Motions: NARMA(L2)-FO(ANFIS)PD-I based Jaya Optimization Algorithm
(1) * Abdullah Fadhil Mohammed Mail (Mustansiriyah University, Iraq)
(2) Noorulden Basil Mail (Mustansiriyah University, Iraq)
(3) Riyam Bassim Abdulmaged Mail (Mustansiriyah University, Iraq)
(4) Hamzah M. Marhoon Mail (Al-Nahrain University, Iraq)
(5) Hussein Mohammed Ridha Mail (Mustansiriyah University, Iraq)
(6) Alfian Ma'arif Mail (Universitas Ahmad Dahlan, Indonesia)
(7) Iswanto Suwarno Mail (Univesitas Muhammadiyah Yogyakarta, Indonesia)
*corresponding author

Abstract


Scholars worldwide have shown considerable interest in the industrial sector, mainly due to its abundant resources, which have facilitated the adoption of conveyor belt technologies like Robotic Arm-Based Conveyor Belts (RACBs). RACBs rely on four primary movements: (i.e., joint, motor, gear, and sensor), which can have a significant impact on the overall motions and motion estimation. To optimize these operations, an assistive algorithm has been developed to enhance the effectiveness of motion by achieving favorable gains. However, each motion requires specific criteria for Fractional Order Proportional Integral Derivative (FOPID) controller gains, leading to various challenges. These challenges include the existence of multiple evaluation and selection criteria, the significance of these criteria for each motion, the trade-off between criterion performance for each motion, and determining critical values for the criteria. As a result, the evaluation and selection of the Proposed Jaya optimization algorithm for RACB motion control becomes a complex problem. To address these challenges, this study proposes a novel integrated approach for selecting the Jaya optimization algorithm in different RACB motions. The approach incorporates two evaluation methods: the Nonlinear Autoregressive Moving Average with exogenous inputs (NARMA-L2) controller for Neural Network (NN) weighting of the criteria, and the Adaptive Neuro-Fuzzy Inference System (ANFIS) for selecting the Jaya optimization algorithm. The approach consists of three main phases: RACB-based NARMA-L2 Controller Identification and Pre-processing, Development of NARMA-L2 controller-based NARMA(L2)-FO(ANFIS)PD-I, and Evaluation of FOPID criteria based on JOA. The proposed approach is evaluated based on NARMA(L2)-FO(ANFIS)PD-I that given 0.4074, 0.3156, 0.3724, 0.1898 and 0.2135 for K_p_joint, K_i_motor, K_d_sensor, λ_gear, and µ_N respectively, which verifies the soundness of the proposed methodology.

Keywords


Robotic Arm-based Conveyor Belt; NARMA-L2 Controller; ANFIS; Fractional Order PID Controller; Jaya Optimization Algorithm

   

DOI

https://doi.org/10.31763/ijrcs.v4i1.1243 		      

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References


[1] M. Abdelaal, R. M. A. Farag, M. S. Saad, A. Bahgat, H. M. Emara, A. El-Dessouki, “Uncalibrated stereo vision with deep learning for 6-DOF pose estimation for a robot arm system,” Robotics and Autonomous Systems, vol. 145, no. 11, pp. 1-11, 2021, https://doi.org/10.1016/j.robot.2021.103847.

[2] S. E. Ivanov, T. Zudilova, T. Voitiuk, L. N. Ivanova, “Mathematical modeling of the dynamics of 3-DOF robot-manipulator with software control,” Procedia Computer Science, vol. 178, pp. 311–319, 2020, https://doi.org/10.1016/j.procs.2020.11.033.

[3] S. R. Fahim, Y. Sarker, S. K. Sarker, “Modeling and development of a five dof vision based remote operated robotic arm with transmission control protocol,” SN Applied Sciences, vol. 2, no. 1263, 2020, https://doi.org/10.1007/s42452-020-3039-y.

[4] Y.-H. Jiang, S. Gao, Y. -H. Yin, Z. -F. Xu, S. -Y. Wang, “A control system of rail-guided vehicle assisted by trans differentiation strategy of lower organisms,” Engineering Applications of Artificial Intelligence, vol. 123, p. 106353, 2023, https://doi.org/10.1016/j.engappai.2023.106353.

[5] C. Zeng, H. Zhou, W. Ye, X. Gu, “iArm: design an educational robotic arm kit for inspiring students’ computational thinking,” Sensors, vol. 22, no. 8, p. 2957, 2022, https://doi.org/10.3390/s22082957.

[6] X. Song, P. Sun, S. Song, V. Stojanovic, “Quantized neural adaptive finite-time preassigned performance control for interconnected nonlinear systems,” Neural Computing and Applications, vol. 35, pp. 15429-15446, 2023, https://doi.org/10.1007/s00521-023-08361-y.

[7] S. Guan, Z. Zhuang, H. Tao, Y. Chen, V. Stojanovic, W. Paszke, “Feedback-aided PD-type iterative learning control for time-varying systems with non-uniform trial lengths,” Transactions of the Institute of Measurement and Control, vol. 45, no. 11, pp. 2015–2026, 2023, https://doi.org/10.1177/01423312221142564.

[8] M. Gao et al., “A Hybrid YOLOv4 and Particle Filter Based Robotic Arm Grabbing System in Nonlinear and Non-Gaussian Environment,” Electronics, vol. 10, no. 10, p. 1140, 2021, https://doi.org/10.3390/electronics10101140.

[9] M. Bottin, G. Cipriani, D. Tommasino, A, Doria, “Analysis and control of vibrations of a Cartesian cutting machine using an equivalent robotic model,” Machines, vol. 9, no. 8, p. 162, 2021, https://doi.org/10.3390/machines9080162.

[10] K. Uçar and H. E. Koçer, “Determination of Angular Status and Dimensional Properties of Objects for Grasping with Robot Arm,” IEEE Latin America Transactions, vol. 21, no. 2, pp. 335-343, 2023, https://doi.org/10.1109/TLA.2023.10015227.

[11] G. Bagi and J. Toth, “Design and implementation of an object sorting robotic arm,” Mechanical Engineering Letters, vol. 22, pp. 81–91, 2022, https://uni-mate.hu/documents/315606/3131614/MEL_2022_vol22.pdf#page=81.

[12] C. -Y. Lin, S. Masroor, Bahrudin, H. Bulut, “The Design and User Evaluation of Body-Transfer System via Sliding Transfer Approach for Assisting Functionally Impaired People,” Machines, vol. 11, no. 5, p. 555, 2023, https://doi.org/10.3390/machines11050555.

[13] D. Pappas, A. Sy, R. Robinson, R. Burke, “Metal Oxide Removal Using Atmospheric Pressure Plasma Technology for Electronic Applications,” IMAPSource Proceedings 2022 (IMAPS Symposium), vol. 2022, pp. 000324-000328, 2023, https://doi.org/10.4071/001c.74779.

[14] C. Mayr-Dorn, M. Winterer, C. Salomon, D. Hohensinger, H. Fürschuss, “Assessing industrial end-user programming of robotic production cells: A controlled experiment,” Journal of Systems and Software, vol. 195, p. 111547, 2023, https://doi.org/10.1016/j.jss.2022.111547.

[15] P. Mercorelli, “Identification of Parameters and States in PMSMs,” Electronics, vol. 12, no. 12, p. 2625, 2023, https://doi.org/10.3390/electronics12122625.

[16] S. Gross and B. Krenn, “A Communicative Perspective on Human–Robot Collaboration in Industry: Mapping Communicative Modes on Collaborative Scenarios,” International Journal of Social Robotics, 2023, https://doi.org/10.1007/s12369-023-00991-5.

[17] R. Szczepanski, K. Erwinski, M. Tejer, A. Bereit, T. Tarczewski, “Optimal scheduling for palletizing task using robotic arm and artificial bee colony algorithm,” Engineering Applications of Artificial Intelligence, vol. 113, p. 104976, 2022, https://doi.org/10.1016/j.engappai.2022.104976.

[18] J. S. Ipiales, E. J. Araque, V. H. Andaluz, C. A. Naranjo, “Virtual Training System for the Teaching-Learning Process in the Area of Industrial Robotics,” Electronics, vol. 12, no. 4, p. 974, 2023, https://doi.org/10.3390/electronics12040974.

[19] M. J. Jongeneel, L. Poort, N. V. D. Wouw, A. Saccon, “Experimental Validation of Nonsmooth Dynamics Simulations for Robotic Tossing involving Friction and Impacts,” HAL open science, 2023, https://hal.science/hal-03974604/.

[20] A. A. Yetisgin, S. Cetinel, M. Zuvin, A. Kosar, O. Kutlu, “Therapeutic nanoparticles and their targeted delivery applications,” Molecules, vol. 25, no. 9, p. 2193, 2020, https://doi.org/10.3390/molecules25092193.

[21] L. Villani, J. D. Schutter, “Force control,” Springer, 2023, https://doi.org/10.1007/978-3-319-32552-1_9.

[22] H. P. Le, C. V. Duy, H. T. Thanh, “Design a low-cost delta robot arm for pick and place applications based on computer vision,” FME Transactions, vol. 51, no. 1, pp. 99–108, 2023, https://doi.org/10.5937/fme2301099P.

[23] H. M. Marhoon, N. Basil, and A. F. Mohammed, “Medical Defense Nanorobots (MDNRs): a new evaluation and selection of controller criteria for improved disease diagnosis and patient safety using NARMA(L2)-FOP + D(ANFIS)µ–Iλ-based Archimedes Optimization Algorithm,” International Journal of Information Technology, 2024, https://doi.org/10.1007/s41870-023-01724-7.

[24] L. Hrabovský, P. Nenička, and J. Fries, “Laboratory Machine Verification of Force Transmission Provided by Friction Acting on the Drive Drum of a Conveyor Belt,” Machines, vol. 11, no. 5, p. 544, 2023, https://doi.org/10.3390/machines11050544.

[25] P. S. Suresh, Y. Gui, P. Doshi, “Dec-AIRL: Decentralized Adversarial IRL for Human-Robot Teaming,” Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, pp. 1116–1124, 2023, https://dl.acm.org/doi/abs/10.5555/3545946.3598753.

[26] H. Xu, G. Yu, C. Niu, X. Zhao, Y. Wang, and Y. Chen, “Design and Experiment of an Underactuated Broccoli-Picking Manipulator,” Agriculture, vol. 13, no. 4, p. 848, 2023, https://doi.org/10.3390/agriculture13040848.

[27] P. Patel, R. Patel, J. Shroff, and R. Parekh, “Survival strategies to live on interplanetary system MARS,” Proceedings of the Indian National Science Academy, vol. 89, pp. 279-289, 2023, https://doi.org/10.1007/s43538-022-00136-8.

[28] U. Kulkarni, K. Naregal, V. Farande, S. Guttigoli, A. Angadi, and R. Ujwane, “An Object Detection Approach for Automated Detection of Groove Line in Tube Yoke,” ITM Web of Conferences, vol. 53, pp. 1–14, 2023, https://doi.org/10.1051/itmconf/20235301007.

[29] N. Wang et al., “Path Planning Algorithm of Intelligent Unmanned Inspection Vehicle Check for updates,” Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City-Volume 1, vol. 167, pp. 475-484, 2023, https://doi.org/10.1007/978-981-99-0880-6_52.

[30] C. M. González-Henríquez, D. A. Pérez-Monje, F. E. Rodríguez-Umanzor, M. A. Sarabia-Vallejos, J. Rodríguez-Hernández, “Recent innovative developments on additive manufacturing technologies using polymers,” Advances in Additive Manufacturing Artificial Intelligence, pp. 69–86, 2023, https://doi.org/10.1016/B978-0-323-91834-3.00015-6.

[31] E. Valenzuela et al., “The IFMIF-DONES remote handling control system: Experimental setup for OPC UA integration,” Fusion Engineering and Design, vol. 192, p. 113776, 2023, https://doi.org/10.1016/j.fusengdes.2023.113776.

[32] N. Basil, H. M. Marhoon, M. R. Hayal, E. E. Elsayed, I. Nurhidayat, M. A. Shah, “Black-hole optimisation algorithm with FOPID-based automation intelligence photovoltaic system for voltage and power issues,” Australian Journal of Electrical and Electronics Engineering, pp. 1-13, 2024, https://doi.org/10.1080/1448837X.2024.2308415.

[33] N. Basil and H. M. Marhoon, “Selection and evaluation of FOPID criteria for the X-15 adaptive flight control system (AFCS) via Lyapunov candidates: Optimizing trade-offs and critical values using optimization algorithms,” e-Prime - Advances in Electrical Engineering, Electronics and Energy, vol. 6, p. 100305, 2023, https://doi.org/10.1016/j.prime.2023.100305.

[34] N. Basil, M. E. Alqaysi, M. Deveci, A. S. Albahri, O. S. Albahri, A. H. Alamoodi, “Evaluation of autonomous underwater vehicle motion trajectory optimization algorithms,” Knowledge-Based Systems, p. 110722, 2023, https://doi.org/10.1016/j.knosys.2023.110722.

[35] N. Basil and H. M. Marhoon, “Towards evaluation of the PID criteria-based UAVs observation and tracking head within resizable selection by COA algorithm,” Results in Control and Optimization, vol. 12, p. 100279, 2023, https://doi.org/10.1016/j.rico.2023.100279.

[36] N. Basil, H. M. Marhoon, and A. R. Ibrahim, “A new thrust vector-controlled rocket based on JOA using MCDA,” Measurement: Sensors, vol. 26, p. 100672, 2023, https://doi.org/10.1016/j.measen.2023.100672.

[37] F. S. Raheem and N. Basil, “Automation intelligence photovoltaic system for power and voltage issues based on Black Hole Optimization algorithm with FOPID,” Measurement: Sensors, vol. 25, p. 100640, 2023, https://doi.org/10.1016/j.measen.2022.100640.

[38] N. B. Mohamadwasel, S. Kurnaz, “Implementation of the parallel robot using FOPID with fuzzy type-2 in use social spider optimization algorithm,” Applied Nanoscience, vol. 13, pp. 1389-1399, 2021, https://doi.org/10.1007/s13204-021-02034-9.

[39] N. Basil and A. Ma’arif, “NB Theory with Bargaining Problem: A New Theory,” International Journal of Robotics and Control Systems, vol. 2, no. 3, pp. 606-609, 2022, https://doi.org/10.31763/ijrcs.v2i3.798.

[40] N. Basil, H M. Marhoon, S. Gokulakrishnan, D. Buddhi, “Jaya optimization algorithm implemented on a new novel design of 6-DOF AUV body: a case study,” Multimedia Tools and Applications, 2022, https://doi.org/10.1007/s11042-022-14293-x.

[41] H. M. Marhoon, A. R. Ibrahim, and N. Basil, “Enhancement of Electro Hydraulic Position Servo Control System Utilising Ant Lion Optimiser,” International Journal of Nonlinear Analysis and Applications, vol. 12, no. 2, pp. 2453–2461, 2021, https://doi.org/10.22075/ijnaa.2021.5387.

[42] A. R. Ibrahim, N. Basil, M. I. Mahdi, “Implementation enhancement of AVR control system within optimization techniques,” International Journal of Nonlinear Analysis and Applications, vol. 12, no. 2, pp. 2021–2027, 2021, https://doi.org/10.22075/ijnaa.2021.5339.

[43] N. B. Mohamadwasel, “Rider Optimization Algorithm implemented on the AVR Control System using MATLAB with FOPID,” IOP Conference Series: Materials Science and Engineering, vol. 928, no. 3, p. 032017, 2020, https://doi.org/10.1088/1757-899X/928/3/032017.

[44] Y. R. Mohammed, N. Basil, O. Bayat, A. Hamid, “A New Novel Optimization Techniques Implemented on the AVR Control System using MATLAB-SIMULINK,” International Journal of Advanced Science and Technology, vol. 29, no. 5, pp. 4515–4521, 2020, http://sersc.org/journals/index.php/IJAST/article/view/13766.

[45] H. M. Marhoon, A. I. Alanssari, N. Basil, “Design and Implementation of an Intelligent Safety and Security System for Vehicles Based on GSM Communication and IoT Network for Real-Time Tracking,” Journal of Robotic and Control, vol. 4, no. 5, pp. 708–718, 2023, https://doi.org/10.18196/jrc.v4i5.19652.

[46] H. M. Marhoon, N. Basil, and A. Ma’arif, “Exploring Blockchain Data Analysis and Its Communications Architecture: Achievements, Challenges, and Future Directions: A Review Article,” International Journal of Robotics and Control Systems, vol. 3, no. 3, pp. 609-626, 2023, https://doi.org/10.31763/ijrcs.v3i3.1100.

[47] A. H. Mukalaf, H. M. Marhoon, I. Suwarno, and A. Ma’arif, “Design and Manufacturing of Smart Car Security System with IoT-Based Real-Time Tracking,” International Journal of Intelligent Systems and Applications in Engineering, vol. 11, no. 6s, pp. 745–752, 2023, https://www.ijisae.org/index.php/IJISAE/article/view/2909.

[48] T. M. Salman, H. N. Abdullah, H. M. Marhoon, and Z. A. Karam, “Design and Fabrication of a Smart Monitoring System for Liquefied Petroleum Gas-Operated Cars Based on Global System Mobile,” International Journal of Online and Biomedical Engineering, vol. 19, no. 11, pp. 96-111, 2023, https://doi.org/10.3991/ijoe.v19i11.41937.

[49] M. Murad, O. Bayat, H. M. Marhoon, “Design and implementation of a smart home system with two levels of security based on IoT technology,” Indonesian Journal of Electrical Engineering and Computer Science, vol. 21, no. 1, pp. 546-557, 2021, http://doi.org/10.11591/ijeecs.v21.i1.pp546-557.

[50] I. A. Taha and H. M. Marhoon, “Implementation of controlled robot for fire detection and extinguish to closed areas based on Arduino,” TELKOMNIKA (Telecommunication Computing Electronics and Control, vol. 16, no. 2, pp. 654–664, 2018, http://doi.org/10.12928/telkomnika.v16i2.8197.


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International Journal of Robotics and Control Systems
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