Dynamics and Control of Double-Pipe Heat Exchanger (original) (raw)
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Matlab Simulation of Temperature Control of Heat Exchanger using Different Controllers
Automation, Control and Intelligent Systems, 2014
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.
Improving the Performance of Heat Exchanger System by Better Control Circuits
International Journal of Computer Applications, 2015
Heat exchanger system is widely used in chemical process industries, including petroleum refining and petrochemical processing, especially in the hazard zones because its convert the fluid from high range of temperature and pressure from the storage tanks to the pipe lines. A heat exchanger consists of two main modules, the first module is mechanical (vessel, shell, tube) It happens inside heat transfer, the second module is the controller circuit which controls the mechanical module by opening and closing the valves according to the set point temperature. This paper will focus on improving the performance of control circuits which is used in the heat exchanger. Genetic controller will replace the PID and the Fuzzy controller to obtain the best solution. As a consequence, the overshoot ratio and the settling time is reduced to 0.03% and 110 seconds respectively.
Modelling and Controller Design for Temperature Control of Power Plant Heat Exchanger
Universal Journal of Control and Automation, 2017
Power Plant Heat exchanger is widely used in chemical and petroleum plants because it can sustain wide range of temperature and pressure. Heat exchanger is a high nonlinearity and poor dynamics plant; therefore it is complex to model and difficult to control its dynamics. In this paper two types of heat exchanger model and controller are applied for selecting suitable model and controller. First model is called (Physical model) and derived using real parameter of heat exchanger plant. Second, a Second Order Plus Dead Time (SOPDT model) that is derived from the response of heat exchanger. While the controllers are consisted of fuzzy proportional derivative (FPD) controller and proportional integral derivative (PID) controller and applied to the model and their responses are compared with the existing PID controller. The PID controller response based on Physical model gives similar response of existing PID controller based real heat exchanger plant in comparison with SOPDT model. That means the Physical model is able to represent the heat exchanger plant dynamics more accurately than SOPDT model. For the controller, the FPD control gives a slight enhancement based on SOPDT model. Therefore, FPD controller is more suitable than PID controller.
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.
Modeling and Temperature Control of Heat Exchanger Process
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 ...
Controller Design for Temperature Control of Heat Exchanger System: Simulation Studies
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.
Heat Exchanger System Controlled by Fuzzy Self-adapting PID Controller
2012
The Heat Exchanger system can be characterized by several ways. In this paper we have characterised the heat exchanger system using Fuzzy self-adapting PID Controller. This method is much more efficient, i.e. more effective coefficients and characteristics can be obtained using this method. By using this adapting control method the dynamics of the fluid flowing in the heat exchanger. By using this method of characterization plant performance can be predicted more accurately. The modal is developed using MATLAB and simulations results are generated. The results shows that the given method gives a much improved performance.
Design of Optimal Fuzzy Controller for Heat Exchanger Temperature
Journal of Engineering Science and Technology Review
The heat exchanger system (HES) is widely used in petroleum industries as well as in chemical applications because it may maintain the process of controlling the pressure or temperature of a liquid. In addition, HES is often complicated, and expensive devices. The heat exchanger types used in simpler applications are inexpensive but nonlinear, and their dynamic response is very weak; Therefore, it is quite difficult to be modelled, and their dynamics operation is hard to control. In this work, several methods are applied to the heat exchanger model and its control to select the appropriate model and control unit in complex working conditions. The problems that affect the dynamic parameter setting adopted by the traditional incremental proportional integrated derivative (PID) and the intelligently designed control systems which combine a fuzzy controller that adapts to a PID controller that has a better performance are studied. The traditional PID controller is always built using MATLAB-Simulink, and two fuzzy logic controllers are designed. One of the designs is based on the sine-cosine algorithm (SCA), and another uses particle swarm optimization (PSO). Results show that the sine-cosine algorithm (FLC_SCA) controller has excellent response and strength compared to PID and particle swarm dependent optimisation (FLC_PSO) is suitable for complex time-delay systems.
PERFORMANCE ANALYSIS OF VARIOUS CONTROLLER FOR A HEAT EXCHANGER SYSTEM
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.
COMPARATIVEANALYSIS OF ADVANCED CONTROLLERS IN A 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.