Modelling and Controller Design for Temperature Control of Power Plant Heat Exchanger (original) (raw)
Related papers
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.
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.
Control Modes Comparison Results Focused on Real Heat Exchanger System Response
2011
This paper focus on the heat exchanger system temperature control design based on mathematical model. The mathematical model is constructed using dynamics and real parameters of the heat exchanger. The heat exchanger model is QAD MODEL BDT921. Two types of control are applied; they are Proportion Integral Derivative (PID) controller and Fuzzy Proportional (FD) controller. PID is a generic control loop feedback mechanism attempts to correct the error between a measured process variable and a desired set point by calculating and then outputting a corrective action. While FD is a controller that it base on the logical of the human expert. The two controllers are simulated using Matlab Simulink software. The results show that FD controller response better than PID controller. It means FD controller is a suitable control to improve the performance of the heat exchanger QAD MODEL BDT921 model.
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.
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.
Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2022
In this study, a controller design was carried out for the heat exchanger, which is widely used in the industry. Firstly, Zeigler Nichols step, Zeigler Nichols frequency, AMIGO step and AMIGO frequency methods were used for the PID controller in the control of this system. Then, using the mathematical model of the heat exchanger system, 2%, 5% and 10% overshoot constraints were added to the ISE performance criteria, and controller designs were realized with genetic algorithm. In addition, two different topologies were used for the fuzzy PID controller in the controller design. The results obtained were examined and it was seen that the design realized with fuzzy logic for this study could be improved more. However, topologies designed with fuzzy logic have obtained better results than classical PID controllers and the classical PID designed study in the literature.
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 ...
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.
A fuzzy-PID controller in shell and tube heat exchanger simulation modeled for temperature control
Indonesian Journal of Electrical Engineering and Computer Science, 2021
Shell and tube heat exchanger are the most generally utilized types of heat exchanger for heat transfer in many industrial purposes. Shell and tube heat exchanger comprise a set of units. One unit includes mechanical parts and another unit consists of controlling part. Both the unit has to be modelled to ensure the efficient operation of shell and tube heat exchanger. The mechanical modelling is completely established on the type of applications. The controller modelling is independent of the kind of applications. The controller only needs the input fluid and output fluid properties such as temperature and flow rate. Hence the primary objective of the paper is to focus on the controller part for enhancing the heat exchanger performance. This paper proposes the novel fuzzy-PID controlling technique based on the multiplication operation to make the settling time and overshoot of setpoint temperature to be less to a greater extent and the results are compared with the conventional PI method with various tuning algorithms.
Optimal linear PI fuzzy controller design of a heat exchanger
Chemical Engineering and Processing: Process Intensification, 2008
This study aims at improving the control of a heat exchanger, described by a partial differential equation, by optimizing a linear proportional-integral fuzzy controller. The design of the controller is based on the use of a finite-dimensional approximate model, of high order, derived by spatially lumping the infinite-dimensional model of the heat exchanger. The design procedure consists to optimize the scaling factors of the linear fuzzy controller, by solving an unconstrained optimization problem issued from the simplification of a formulated constrained optimization where the objective function is an integral error measure, and the constraints are the relationships between fuzzy and conventional PID gains. The formulated unconstrained optimization problem is then solved using jointly the Matlab Optimization Toolbox and Simulink. Through simulation, the performances of the heat exchanger are evaluated, and the obtained results show that the fuzzy controller produces improved control performance with respect to the conventional controller.