An efficient controlling system for maintaining the temperature of continuous stirred tank heater [articol]

Abstract

Designing an efficient controller for controlling and maintaining the Continuous Stirred Tank Heater (CSTH) is one of the demanding and crucial process in recent days. For this reason, different controlling strategies such as Proportional Integral Derivative (PID), Proportional (P), and Fuzzy Logic Control (FLC) are developed in the traditional works. It mainly focuses to control the tank based on its temperature level, but it failed to reduce the error and settling time. The increased settling time can affect the chemical reactions inside the tank, so it must be maintained at certain level. Thus, this work aims to develop an optimal strategy, namely, Tri-Energy based Neural Network Controller (TENNC) for controlling and maintaining the temperature of CSTH. It is developed based on the material balance and energy balance of the tank and jacket. In this design, the output of system is compared with the input of system for estimating the error value, based on this, the controller obtains the desired output. Moreover, it focused to increase the efficiency and reduce the operating cost of the controller. The major benefits of this design are, it enabled an automated control system with increased efficiency and reduced man power. In simulation, the traditional PID, PC and FLC controlling strategies based on the measures of time, amplitude, and error. The results showed the effectiveness of the proposed controller design.