PC-Based Controller for Shell and Tube Heat Exchanger

This paper analyzes the performance of different controllers such as feedback, feedback plus feed-forward and internal model controller to regulate the temperature of outlet fluid of a shell and tube heat exchanger to a certain reference value. The transient performance and the error criteria of the controllers are analyzed and the best controller is found out. From the simulation results, it is found out that the internal model control outperforms feedback PID and feedback plus feed-forward controller.

2017

The main purpose of a heat exchanger system is to transfer heat from a hot fluid to a cooler fluid, so temperature control of outlet fluid is of prime importance. In this paper, firstly simplified mathematical model for heat exchanger process has been developed and used for the dynamic analysis and control design. Artificial neural networks (ANN) are effective in modeling of non linear multi variables so modeling of heat exchanger process is accomplished using optimized architecture of artificial neural network after that different controllers such as PID controller, feedback plus feed-forward controller and a ratio controller are developed to control the outlet temperature of a shell and tube heat exchanger. The main aim of the proposed controllers is to regulate the temperature of the outgoing fluid to a desired level in the minimum possible time irrespective of load and process disturbances and nonlinearity. The developed ratio controller has improve the overshoot from 1.34 to 0 ...

The shell and tube of heat exchanger is a medium where heat transfer process occurred. The accuracy of the heat exchanger depends on the performance of both elements. Therefore, both components need to be controlled in order to achieve a substantial result in the process. For this purpose, the actual dynamics of both shell and tube of the heat exchanger is crucial. This paper discusses two methods used in deriving the mathematical modeling of the system. First, physical dynamic modeling is obtained using physics and dynamics laws where actual parameters of the shell and tube are considered. Secondly, the model is determined by applying non-parametric system identification based on experimental response on the heat exchanger. Two models are used to design the shell and tube intelligent control. The intelligent control type is a Fuzzy Proportional Derivative (FPD) control. The experiment results shows that the shell and tube heat exchanger model develop using its physical parameters and controlled with FPD controller give better response, it means it can used as a model and controller of the shell and tube heat exchanger.

AJER

Temperature control of the shell and tube heat exchanger is characteristics of nonlinear, time varying and time lag. Since the temperature control with conventional PID controller cannot meet a wide range of precision temperature control requirement, we design temperature control system of the shell and tube heat exchanger by combining fuzzy and PID control methods in this paper. The simulation and experiments are carried out; making a comparison with conventional PID control showing that fuzzy PID strategy can efficiently improve the performance of the shell and tube heat exchanger.

This paper analyzes the performance of different controllers such as Proportional controller, Proportional plus derivative controller and Proportional plus derivative plus integral controller(PID) to regulate the temperature of outlet fluid of a shell and tube heat exchanger to a certain reference value. The transient performance and the error criteria of the controllers are analyzed and the best controller is found out. From the simulation results, it is found out that the PID controller outperforms Proportional and proportional plus derivative controller.

The most important part in chemical processes, which is directly related to energy consumption, is heat exchanger. Main purpose of heat exchanger is transferring heat from hot fluid to cold fluid. There are different heat exchangers in industry, which their common types are shell and tube heat exchangers. In these heat exchangers, one fluid flows in tubes and the other in shell around tubes. In heat exchangers, one of the important issues is reaching output fluid temperature to given temperature in the least possible time. In this paper, PID controller along with forward-feeding controller was designed to control output fluid temperature of a shell and tube heat exchanger. First, process mathematical modeling is done using experimental data, and then the controller is designed. Designed controller regulates output temperature of heating fluid to a desired point in the least possible time without considering a non-linear process. Then, controller performance is evaluated by unit step response analysis and performance indicators related to the control system. Modeling all processes and designing controllers are done in MATLAB software Simulink.

This paper presents new approach of designing and running hybrid intelligent Controller for controlling temperature of cold fluid outflow in shell and tube heat exchangers. The proposed approach employs PID based fuzzy controller for determination of the optimal results. Results show that the proposed scheme significantly improves the performance of the shell and tube heat exchangers. It is anticipated that designing of PID based fuzzy controller using intelligent techniques would remarkably improves the rate of response of the system, maximum overshoot and settling time would be decreased in designed intelligent controller. The model is simulatedand implemented using Simulink/MATLAB.

International Journal of Engineering and Manufacturing, 2021

Heat exchangers are one of the most important thermal devices. Shell and tube heat exchangers are the common types of heat exchangers and sustained a wide range of operating temperature and pressure. Modeling and controlling heat exchanger system is a difficult assignment because of its nonlinearity. As the flow rates changes, the gain, time delay and time constant varies, hence causing system nonlinearity. The solution for such problems is finding acceptable mathematical model and design a controller which provides better performance indices. In this paper mathematical model (experimental or empirical based) to represent the real system and design suitable controller which remove the offset and settle fast with minimum steady state error has been proposed. To this end, system model design the Proportional-Integral-Derivative controller for shell and tube heat exchanger using Ziegler Nichols method, Cohen-coon method and Chein et al. method. Since two opposing dynamic effects are existing in the system and has a problem of dynamics of inverse response and large overshoot. Therefore, Chein et al. tuning method have better performance than that of the others. In case of Chein et al. the overshoot of 2.577 % and settling time of 63.1 s.

Heat exchanger system is widely used in chemical plants because it can sustain wide range of temperature and pressure. The main purpose of a heat exchanger system is to transfer heat from a hot fluid to a cooler fluid, so temperature control of outlet fluid is of prime importance. To control the temperature of outlet fluid of the heat exchanger system a conventional PID controller can be used. Due to inherent disadvantages of conventional control techniques, Fuzzy logic controller is employed to control the temperature of outlet fluid of the heat exchanger system. The designed controller regulates the temperature of the outgoing fluid to a desired set point in the shortest possible time irrespective of load and process disturbances, equipment saturation and nonlinearity.

International Journal of Engineering & Technology, 2018

Heat exchanger plays a important role in many unitsas they have the capability to hold different temperarure and pressure range. In this paper the linear quadratic controller and Dynamic matrix controller is implemented for heat exchanger system. The out let temperature of the tube is controlled by monitoring the inlet flow rate by using different controllers. The model of the system has been obtained from experimental data using system identification technique. The LQR and DMC is compared by analyze the servo performance in the system in terms of settling time, overshoot and rise time.