






Vol.1 , No. 2, Publication Date: Jul. 7, 2014, Page: 30-35
[1] | Usman Khalid , Department of Electrical Engineering,COMSATS Institute of Information Technology, Abbottabad, Pakistan. |
[2] | Yasir A. Shah , Department of Electrical Engineering,COMSATS Institute of Information Technology, Abbottabad, Pakistan. |
[3] | Shahid Qamar , Department of Electrical Engineering,COMSATS Institute of Information Technology, Abbottabad, Pakistan. |
[4] | Waseem Gohar , Department of Electrical Engineering,COMSATS Institute of Information Technology, Abbottabad, Pakistan. |
[5] | Raza Riaz , Department of Electrical Engineering,COMSATS Institute of Information Technology, Abbottabad, Pakistan. |
[6] | Wajid Ali Shah , Department of Electrical Engineering,COMSATS Institute of Information Technology, Abbottabad, Pakistan. |
This paper presents a nonlinear artificial neural network (ANN) control design for the nonlinear coupled four tanks system. The objective is to control the level of the four tanks at desired values and to isolate the uncertainties of the nonlinear tank system. A leakage factor is also considered in the system model. The robustness of the proposed control against the disturbances is considered. The ANN is highly nonlinear, has more flexibility and robust to tackle the undesired disturbances of the coupled four tank system. The simulation results show that the ANN has good stability performance.
Keywords
Coupled Four Tank, Neural Network, Level Control
Reference
[01] | Srinivas, P., PrasadaRao, and P. Durga, Comparative Analysis of Conventional Pid Controller And Fuzzy Controller With Various Defuzzification Methods in a Three Tank Level Control System, International Journal of Information Technology, Control & Automation, vol. 2, no. 4, 2012. |
[02] | Ho, WengKhuen, Yang Hong, Anders Hansson, HåkanHjalmarsson, and J. W. Deng, Relay auto-tuning of PID controllers using iterative feedback tuning. Automatica, vol. 39, no. 1, pp. 149-157., 2003. |
[03] | Joseph J. Distefano, Allen R. Stubberud, Ivan J. Williams. “Feedback and Control Systems, McGraw-Hill Professional, 1995, Schaum’s Series. |
[04] | Spitzer, David W., Advanced regulatory control: Applications and techniques. Momentum Press, 2009. |
[05] | Dardinier-Maron, V., Hamelin, F., &Noura, H. (1999). A fault-tolerant control design against major actuator failures: application to a three-tank system, Proceedings of the 38th IEEE Conference on Decision and Control, vol. 4, pp. 3569-3574, 1999. |
[06] | Blažič, Sašo, Igor Škrjanc, and DragoMatko, Globally stable direct fuzzy model reference adaptive control, Fuzzy Sets and Systems, vol. 139, no. 1, pp. 3-33, 2003. |
[07] | Muhammad HosseinSobhani and JavadPoshtan, Fault Detection and Isolation Using Unknown Input Observers with Structured Residual Generation, 2009. |
[08] | Ramli, MohdSyakirin, Mohd Ashraf Ahmad, and R. M. T. Raja Ismail, Comparison of Swarm Adaptive Neural Network Control of a Coupled Tank Liquid Level System, ICCTD'09 International Conference on Computer Technology and Development, vol. 1, pp. 130-135, 2009. |
[09] | Cerda-Villafana, Gustavo, Sergio E. Ledesma-Orozco, and Efren Gonzalez-Ramirez, Tank Model Coupled with an Artificial Neural Network, In MICAI 2008: Advances in Artificial Intelligence, pp. 343-350. Springer Berlin Heidelberg, 2008. |
[10] | Wu, Dongrui, and Woei Wan Tan, A type-2 fuzzy logic controller for the liquid-level process, Proceedings of IEEE International Conference on Fuzzy System, vol. 2, pp. 953-958, 2004. |
[11] | Boubakir, Ahcene, Fares Boudjema, and SalimLabiod. "A neuro-fuzzy-sliding mode controller using nonlinear sliding surface applied to the coupled tanks system." International Journal of Automation and Computing vol. 6, no. 1, pp. 72-80, 2009. |
[12] | Han Rucheng Wang Yahui Li and XiaofengTianQichuan, An Intelligent Control Method of Thermal Boiler System,” IEEE International Conference on Intelligent Processing System, Beijing, China, pp.28-31, Oct.,1997. |
[13] | Chu, Chia-Chi, and Hung-Chi Tsa. Application of Lyapunov-Based Adaptive Neural Network Controllers For Transient Stability Enhancement,Power And Energy Society General Meeting, Pp. 1-6, July, 2008. |
[14] | A. Afzalian, D. A. Linkens, Training Of Neuro-Fuzzy Power System Stabilisers Using Genetic Algorithms,International Journal Of Electrical Power And Energy Systems, vol. 22, no.2, pp. 93-102, 2000. |
[15] | Hur Abbas, ShahidQamar, Sliding Mode Control For Coupled-Tank Liquid Level Control System, 10th International Conference on Frontiers of Information Technology (FIT), pp. 325-330, Pakistan, 17-19 December, 2012. |