Radial Basis Function Neural Network Control for Coupled Water Tank

Halim Mudia

Abstract


The level and flow control in tanks are the heart of all chemical engineering system. The control of liquid level in tanks and flow between tanks is a basic problem in the process industries. Many times the liquids will be processed by chemical or mixing treatment in the tanks, but always the level of fluid in the tanks must be controlled and the flow between tanks must be regulated in presence of non-linearity. Therefore, in this paper will use neural network based on radial basis function (RBF) to control of  level 2 in the tank 2 with the setpoint of 10 centimeters and can follow the setpoint changes to 8 centimeters given in 225 seconds. The results show that neural netwotk based on radial basis function can follow setpoint given with steady state error is 0 cm, overshoot is 0%, rising time is 48 seconds, settling time is 52 seconds and can follow setpoint changes in 51 seconds.

Keywords


Coupled Water Tank, Level Control, Neural Network, Radial Basis Function

Full Text:

PDF

References


Konstantinos N, Charalampos G, Giannakakis, Ioannis K, Ilias S, Alex A. Nonlinear Control of a DC-Motor Based on Radial Basis Function Neural Networks. International Symposium on Innovations in Intelligent Systems and Applications. Turkey. 2011; 611-615.

Moody J, Darken C. Fast Learning in Networks of Locallt-tuned Processing Units. Neural Computation. 1989; 37: 281-294.

Sarimveis H, Doganis P, Alexandridis A. A Classification Technique Based on Radial Basis Function Neural Networks. Advaces in Engineering Software. 2006; 37: 218-221.

Patrinos P, Alexandridis A, Ninos K, Sarimveis H. Variable Selection in Nonlinear Modeling Based on RBF Networks and Evolutionary Computation. International Journal of Neural System. 2010; 20: 365-379.

Alexandridis A, Sarimveis H. Nonlinear Adaptive Model Predictive Control Based on Self-Correcting Neural Network Models. AICHE Journal. 2005; 51: 2495-2506.

Jiffy A. J, Jaffar, Riya. M. F. Modelling and Control of Coupled Tank Liquid Level System Using Backstepping Method. International Journal of Engineering Research & Technology (IJERT). 2015; 4(6): 667-671.

Abraham L, Senthilkumar, Selvakumar. Design of PI Controller Using Characteristics Ratio Assignment Method for Coupled Tank SISO Process. International Journal of Computer Application. 2011; 25(9): 49-53.

Hur A, Sajjad A, Shahid Q. Sliding Mode Control Of Coupled Tank Liquid Level Control System. IEEE 10th International Conference on Frontires of Information Technology. Islamabad. 2012; 325-330.

Mahyuddi N. M, Arshad R. M, Zaharuddin M. Simulation of Direct Model Reference Adaptive Control on a Coupled Tank System Using Non-linear Pant Model. International Conference on Control Instrumentation and Mechatronics Engineering. Johor. 2007; 569-576.

Saad M, Albagul A, Abueejela Y. Performance Comparison between PI and MRAC for Coupled Tank Rystem. Journal of Automation and control Engineering. 2014; 2 (3): 316-321.

Halim M. Comparative Study of Madani-type and Sugeno-type Fuzzy Inference System for Coupled Water Tank. Indonesian Journal of Artificial Intelligence and Data Mining (IJAIDM). 2020; 3(1): 39-44.

Wei W, Sheng Z, Guepeng Z. A Study on PID Intelligent Optinization based on Radial Basis Function Neural Networks. 3rd International Conference on Consumer Electronics, Communications and Networks. Xianning. 2013; 57-60.




DOI: http://dx.doi.org/10.24014/ijaidm.v3i2.10002

Refbacks

  • There are currently no refbacks.


Office and Secretariat:

Big Data Research Centre
Puzzle Research Data Technology (Predatech)
Laboratory Building 1st Floor of Faculty of Science and Technology
UIN Sultan Syarif Kasim Riau

Jl. HR. Soebrantas KM. 18.5 No. 155 Pekanbaru Riau – 28293
Website: http://predatech.uin-suska.ac.id/ijaidm
Email: ijaidm@uin-suska.ac.id
e-Journal: http://ejournal.uin-suska.ac.id/index.php/ijaidm
Phone./ Hp.: +62 852-7535-9942


Journal Indexing:

Google Scholar | ROAD | PKP Index | BASE | ESJI | Journal Factor | General Impact Factor | Garuda | Moraref | One Search | Cite Factor | Crossref | WorldCat | Neliti  | SINTA

IJAIDM Stats