Abstract
In this paper, an intelligent control system technique is proposed to model and control of a nonlinear coupled three tank system. Two pumps fed the tank 1 and tank 2 and a fractional flow of these two pumps fed tank 3. The main aim of this paper is to make a set point tracking experiments of the tanks level using a nonlinear autoregressive moving average L-2 (NARMA L-2) and neural network predictive controllers. The proposed controllers are designed with the same neural network architecture and algorithm. Comparison of the system with the proposed controllers for tracking a step and random level set points for a fixed and variable flow parameter and some good results have been obtained.
Highlights
Liquid level control is important in most industrial applications, especially in the petrochemical and food processing industries
A neural network based NARMA L-2 and Predictive controllers have been proposed for this system
Comparison of the system with the proposed controllers for tracking a step set point level with fixed flow parameter shows that the system with NARMA L-2 controller improves the set point tracking mechanism better than the proposed NN Predictive controller
Summary
Liquid level control is important in most industrial applications, especially in the petrochemical and food processing industries. The level controller's accuracy affects the final product's performance. The control of liquid level is a crucial problem in the process industries such as Petrochemical industries, paper making process or mixing process wherein series of tanks are used as processing unit [1]. Water level control in a tank is one of the major control engineering benchmarks for understanding the performance behavior of a controller [1]. The controller performance is tested using tracking a reference level of each tanks individually [2, 3]. The level accuracy is tested for different flow parameter of the liquid which enters the tanks. To compare the performance of the controllers, they designed with the same number of layers and algorithm [4, 5]
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