Research on AGV cart control system based on fuzzy PID control

[1] Li, G., Zeng, B., Liao, W., Li, X., Gao, L. (2018). A new AGV Scheduling Algorithm based on Harmony Search for Material Transfer in a Real-world Manufacturing System. Advances in Mechanical Engineering, 10(3).Search in Google Scholar

[2] Dikas, G., Minis, I., Mamassis, K. (2016). Single vehicle routing with predefined client sequence and multiple warehouse returns: the case of two warehouses. Central European Journal of Operations Research, 24(3), 709-730.Search in Google Scholar

[3] Fu, Y., & Kang-Min, Y. (2019). On talent cultivation in universities for automation and intelligent equipment development under the background of intelligent manufacturing. Intelligent Building & Smart City.Search in Google Scholar

[4] Takashima, S., Tajiri, T., Kaneko, S., Sato, K., & Yamagishi, T. (2017). A study on development of guideless automatic guided vehicle using a laser rangefinder. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec), 2017, 2P2-C05.Search in Google Scholar

[5] Gaham, M., Bouzouia, B., Achour, N. (2018). An effective operations permutation-based discrete harmony search approach for the flexible job shop scheduling problem with makespan criterion. Applied Intelligence, 48(6), 1423-1441.Search in Google Scholar

[6] Lee, J. K., Choi, Y. H., Park, J. B. (2015). Sliding mode tracking control of mobile robots with approach angle in cartesian coordinates. International Journal of Control Automation & Systems, 13(3), 718-724.Search in Google Scholar

[7] Elyoussef, E. S., Pieri, E., Moreno, U. F., et al. (2018). Super-Twisting Sliding Modes Tracking Control of a Nonholonomic Wheeled Mobile Robot. IFAC Proceedings Volumes.Search in Google Scholar

[8] LI, L., SU, Z., XIE, L., et al. (2017). A laser radar with high precision ranging based on phase. Atlantis Press, 148, 439-447.Search in Google Scholar

[9] Sharma, R., Rana, K., Kumar, V. (2014). Performance Analysis of Fractional Order Fuzzy Pid Controllers Applied to a Robotic Manipulator. Expert Systems with Applications, 41(9), 4274-4289.Search in Google Scholar

[10] Zhang, F., Li, J. (2018). An Improved Particle Swarm Optimization Algorithm for Integrated Scheduling Model in AGV-Served Manufacturing Systems. Journal of Advanced Manufacturing Systems, 17(03), 375-390.Search in Google Scholar

[11] Umar, U. A., Ariffin, M. K. A., Ismail, N., et al. (2015). Hybrid multiobjective genetic algorithms for integrated dynamic scheduling and routing of jobs and automated-guided vehicle (AGV) in flexible manufacturing systems (FMS) environment. The International Journal of Advanced Manufacturing Technology, 81(9-12), 2123-2141.Search in Google Scholar

[12] Fazlollahtabar, H., Hassanli, S. (2018). Hybrid cost and time path planning for multiple autonomous guided vehicles. Applied Intelligence, 48(2), 482-498.Search in Google Scholar

[13] Miyamoto, T., Inoue, K. (2016). Local and random searches for dispatch and conflict-free routing problem of capacitated AGV systems. Computers & Industrial Engineering, 91, 1-9.Search in Google Scholar

[14] Vivaldini, K. C. T., Rocha, L. S. F., Martarelli, N. J., et al. (2016). Integrated tasks assignment and routing for the estimation of the optimal number of AGVS. The International Journal of Advanced Manufacturing Technology, 82(1-4), 719-736.Search in Google Scholar

[15] Sharma, D. (2022). Fuzzy with adaptive membership function and deep learning model for frequency control in PV-based microgrid system. Soft Computing, 26(19), 9883-9896.Search in Google Scholar

[16] Sudeepika, P., Khan, G. (2014). Analysis Of Mathematical Model Of PV CellModule in Matlab/Simulink Environment. Research and Reviews, (3).Search in Google Scholar