References
- Jegatheesh, A., Kumar, C. A. (2020). Novel fuzzy fractional order PID controller for non-linear interacting coupled spherical tank system for level process. Microprocessors and Microsystems, 72, 102948.
https://doi.org/10.1016/j.micpro.2019.102948 - Hadi, M. A., Ali, H. I. (2020). Optimal model reference control scheme design for non-linear strict-feedback systems. Engineering and Technology Journal, 38 (9A), 1342–1351.
https://doi.org/10.30684/etj.v38i9A.1339 - Venkataraman, A. (2021). Design and implementation of adaptive PID and adaptive fuzzy controllers for a level process station. Advances in Technology Innovation, 6 (2), 90–105.
https://doi.org/10.46604/aiti.2021.6047 - Gulzar, M. M., Munawar, M., Dewan, Z., Salman, M., Iqbal, S. (2020). Level control of coupled Conical Tank System using adaptive Model Predictive Controller. In 2020 IEEE 17th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET). IEEE, 236–240.
https://doi.org/10.1109/HONET50430.2020.9322842 - Chandrasekar, P., Ponnusamy, L. (2017). Research on variable area hybrid system using optimized Fractional Order Control and Passivity-Based Control. Computers & Electrical Engineering, 57, 324–335.
https://doi.org/10.1016/j.compeleceng.2016.10.013 - Lakshmanan, M., Saravanakumar, N., Kamatchi Kannan, V., Chitra, K., Viji, K., Gowdhamkumar, S. (2021). Real time servo analysis of non-linear conical tank level control using Root Locus Technique. In 2021 Emerging Trends in Industry 4.0 (ETI 4.0). IEEE.
https://doi.org/10.1109/ETI4.051663.2021.9619399 - Aarti, D. S., Arun, N. K. (2021). Liquid level control of quadruple Conical Tank System using Linear PI and Fuzzy PI controllers. In 2021 2nd International Conference for Emerging Technology (INCET). IEEE.
https://doi.org/10.1109/INCET51464.2021.9456375 - Vinothkumar, C., Esakkiappan, C. (2021). Fuzzy PI and Fuzzy PID controller based hopper tank level control system. In 2021 International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT). IEEE.
https://doi.org/10.1109/ICAECT49130.2021.9392451 - Cruz, F. T., Fernandez, R. D., Guizado, A. G., Zorrilla, J. F. (2021). A comparison of Gain Scheduling PID and μ-Synthesis Robust Level Control for a Conical Tank System. In 2021 IEEE XXVIII International Conference on Electronics, Electrical Engineering and Computing (INTERCON). IEEE.
https://doi.org/10.1109/INTERCON52678.2021.9532797 - Amaguaña, C., Camacho, O. (2021). Sliding mode control for a conical tank: Empirical vs. coordinate transformation linearization comparison. In 2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM). IEEE.
https://doi.org/10.1109/ETCM53643.2021.9590771 - Kesavan, S. M., Al Matrushi, F., Al Attar, F., Al Naimi, I., Al Khazraji, A. (2021). Design a heuristic controller for non-linear type liquid level industrial process. In 3rd Smart Cities Symposium (SCS 2020). IEEE, 482–486.
https://doi.org/10.1049/icp.2021.0880 - Febina, C., Vijula, D. A. (2021). RTDA controller design for Conical Tank System. In 2021 International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT). IEEE.
https://doi.org/10.1109/ICAECT49130.2021.9392600 - Amuthambigaiyin Sundari, K., Maruthupandi, P. (2022). Optimal design of PID controller for the analysis of two tank system using metaheuristic optimization algorithm. Journal of Electrical Engineering & Technology, 17 (1), 627–640.
https://doi.org/10.1007/s42835-021-00891-6 - Patel, H. R., Shah, V. A. (2021). Application of metaheuristic algorithms in interval type-2 fractional order fuzzy TID controller for non-linear level control process under actuator and system component faults. International Journal of Intelligent Computing and Cybernetics, 14 (1), 33–53.
https://doi.org/10.1108/IJICC-08-2020-0104 - Deghboudj, I., Ladaci, S. (2021). Fractional-order multi-model predictive control for non-linear processes. International Journal of Automation and Control, 15 (4–5), 611–630.
https://doi.org/10.1504/IJAAC.2021.116426 - Patel, H. R., Shah, V. A. (2021). Stable fuzzy controllers via LMI approach for non-linear systems described by type-2 T–S fuzzy model. International Journal of Intelligent Computing and Cybernetics, 14 (3), 509–531.
https://doi.org/10.1108/IJICC-02-2021-0024 - Patel, H. R., Raval, S. K., Shah, V. A. (2021). A novel design of optimal intelligent fuzzy TID controller employing GA for non-linear level control problem subject to actuator and system component fault. International Journal of Intelligent Computing and Cybernetics, 14 (1), 17–32.
https://doi.org/10.1108/IJICC-11-2020-0174 - Urrea, C., Páez, F. (2021). Design and comparison of strategies for level control in a non-linear tank. Processes, 9 (5), 735.
https://doi.org/10.3390/pr9050735 - Chen, X., Peng, D., Wu, W., Liu, H., Zheng, X. (2022). Active control of torsional vibration during mode switching of hybrid powertrain based on adaptive model reference. Machines, 10 (8), 647.
https://doi.org/10.3390/machines10080647 - Khelas, S. E., Ladaci, S., Bensafia, Y. (2020). Fractional order adaptive MRAC controller for an active suspension system: Fractional operator, fractional order system, Model Reference Adaptive Control, active suspension system. Algerian Journal of Signals and Systems, 5 (2), 112–117.
https://doi.org/10.51485/ajss.v5i2.105 - Sahaya Aarti, D., Arun, N. K. (2022). Gain scheduled adaptive Model Predictive Controller design for Quadruple Conical Tank System. In 2022 3rd International Conference for Emerging Technology (INCET). IEEE.
https://doi.org/10.1109/INCET54531.2022.9824024 - Kumar, M., Prasad, D., Singh, R. S. (2023). Level control in conical tank using IMC-PID controller. Journal of Engineering Science and Technology Review, 16 (2), 71–81.
http://doi.org/10.25103/jestr.162.10 - Ranjan, R. (2021). Robust Model Reference Adaptive Control for liquid level control in process industry. International Journal of Advances in Engineering and Management (IJAEM), 3 (4), 81–88.
- Espitia-Cuchango, H., Machón-González, I., López-García, H. (2022). Filling control of a conical tank using a compact neuro-fuzzy adaptive control system. Complexity, 2022, 4284378.
https://doi.org/10.1155/2022/4284378 - Aguila-Camacho, N., Farías-Ibañez, S. E. (2022). Level control of a Conical Tank System using switched fractional order PI controllers: An experimental application. In 2022 10th International Conference on Control, Mechatronics and Automation (ICCMA). IEEE, 82–87.
https://doi.org/10.1109/ICCMA56665.2022.10011620 - Rajesh, R. J., Preethi, R., Mehata, P., Pandian, B. J. (2015). Artificial neural network based inverse model control of a non-linear process. In 2015 International Conference on Computer, Communication and Control (IC4). IEEE.
https://doi.org/10.1109/IC4.2015.7375581 - Rajesh, R. (2019). Optimal tuning of FOPID controller based on PSO algorithm with reference model for a single conical tank system. SN Applied Sciences, 1, 758.
https://doi.org/10.1007/s42452-019-0754-3 - Wang, Z., Liu, J. (2021). Flamingo search algorithm: A new swarm intelligence optimization algorithm. IEEE Access, 9, 88564–88582.
https://doi.org/10.1109/ACCESS.2021.3090512 - Balaska, H., Ladaci, S., Zennir, Y. (2018). Conical tank level supervision using a fractional order model reference adaptive control strategy. In Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotic (ICINCO), vol. 1, 224–231.
https://doi.org/10.5220/0006869602140221 - Patil, S. R., Agashe, S. (2024). Deep Reinforcement Learning Controller for Conical Tank Process. In 2023 Second IEEE International Conference on Measurement, Instrumentation, Control and Automation (ICMICA). IEEE.
https://doi.org/10.1109/ICMICA61068.2024.10732564 - Ramanathan, P., Mangla, K. K., Satpathy, S. (2018). Smart controller for conical tank system using reinforcement learning algorithm. Measurement, 116, 422–428.
https://doi.org/10.1016/j.measurement.2017.11.007