Swarm Optimization based Controller for Temperature Control of a Heat Exchanger

Rajasekaran, S.; Kannadasan, T.

doi:10.5120/4594-6790

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…So there are many algorithms to tune the parameters of the PID controller in order to avoid these problems in the prosperities of systems: Genetic Algorithms [2], Fuzzy Logic Control [3,4], Neural Network [5,6] have been used to make PID more robust. In recent years, Particle Swarm Optimization (PSO) entered strongly as a method for determining the optimal parameters of proportionalintegral-derivative (PID) controller [1,7,8,9]. The PSO methods have been employed successfully to solve complex optimization problems.…”

Section: -Intoductionmentioning

confidence: 99%

On-Line Auto-Tuning Robust Nonlinear Neural PID Controller Design for Double-Pipe Heat Exchanger Based on Particle Swarm Optimization

Al-Ameer¹

2021

Al-Rafidain J Sci

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The heat exchanger systems have highly nonlinear features between its variables and time delay. In addition, the parameters of them change constantly during operation. Therefore, the heat exchangers need nonlinear robust controller for obtaining required outlet temperature under all operating conditions.In this paper, a robust nonlinear neural PID (NLNPID) controller is proposed for temperature control of double-pipe heat exchanger. Particle swarm optimization (PSO) technique is used to determine on line auto tuning the optimal parameters of proportional-integral-derivative (PID) controller. Mathematical model of heat exchanger takes into account the changes in the density, thermal conductivity, viscosity, specific heat and convection heat transfer coefficient of the fluid which are resulting from changing in temperatures and the velocities with classical PID control. Simulations results show that the performance of the NLNPID controller produces good responses features and give desired outlet temperature under all operating conditions without over shoot and fluctuating.

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Section: -Intoductionmentioning

confidence: 99%

On-Line Auto-Tuning Robust Nonlinear Neural PID Controller Design for Double-Pipe Heat Exchanger Based on Particle Swarm Optimization

Al-Ameer¹

2021

Al-Rafidain J Sci

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“…In the last decade, due to the important role of the Heat Exchangers in industrial applications, considerable research efforts have been devoted to solving the optimization problem of this type of equipment. Thus, several researchers used different optimization techniques [4][5][6][7][8][9][10]. However, these methods are very difficult to apply in the case of FFHTE due to the complexity of the liquid flow around the tubes (free surface).…”

Section: Introductionmentioning

confidence: 99%

Measurement of Liquid Film Thickness around Horizontal Tube Bundle by Optical Technique for Optimizing Evaporator Design and Manufacturing

Bourouni

Taee

2014

AMR

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This paper proposes the improvement of design and manufacturing of Falling Film Horizontal Tube Evaporators (FFHTE) through optimizing different parameters such as tubes pitch, tubes diameter and material and liquid film flow rate. These design and operational parameters have a significant influence on the hydrodynamic of the liquid film (eg: wetability of the tubes, scale deposition, heat transfer coefficient, etc.). Due to the complexity of the liquid film flow around the horizontal tube bundle, the experimental approach is preferred than modeling because it gives a better understanding of the phenomena occurring in the heat exchanger. In this paper one experiment was carried out to investigate liquid film flow around a single horizontal tube. A particular attention was taken for the measurement of liquid film thickness around the tube using a novel optical technique based on light reflection. The influence of the tubes pitch, tube diameter, height of the liquid distribution system and the liquid mass flow on the transitions between falling-film modes and film thickness is investigated and the results are compared to other data obtained from the literature. It was found that tubes wetability and heat transfer increased with increasing the vertical tube pitch. To account for fouling and heat transfer performance, a tube spacing value of 1.3 was recommended.

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Enhancing Temperature Control Method of Thermal Vacuum Chamber for Satellite Testing Using Optimization Algorithm: A Review

et al. 2016

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This paper studies a comparison of optimization algorithms to enhance temperature control method of thermal vacuum chamber (TVC) for satellite testing. The gaseous nitrogen (GN2) is used in TVC to control the temperature requirement and proportional integral derivative (PID) controller is adopted in order to realize it. However, the temperature profile is fluctuated and more time is needed before it managed to achieve the temperature set point. Therefore, a study is done to identify the algorithms that can be applied to optimize the temperature control system of TVC. The study is aim to improve the current temperature control in terms of settling time and overshoot. The method used in the review is by comparing the optimization algorithms that have been used to optimize the temperature control system. The study will be done using other related works that had been done by other researchers. From the review that has been done, the genetic algorithm (GA) is believed to be the best method that can be implemented into the temperature control system of TVC. In the future, the study will further analyse by using simulation tools and real time data generated by the TVC.

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Swarm Optimization based Controller for Temperature Control of a Heat Exchanger

Cited by 3 publications

References 15 publications

On-Line Auto-Tuning Robust Nonlinear Neural PID Controller Design for Double-Pipe Heat Exchanger Based on Particle Swarm Optimization

On-Line Auto-Tuning Robust Nonlinear Neural PID Controller Design for Double-Pipe Heat Exchanger Based on Particle Swarm Optimization

Measurement of Liquid Film Thickness around Horizontal Tube Bundle by Optical Technique for Optimizing Evaporator Design and Manufacturing

Enhancing Temperature Control Method of Thermal Vacuum Chamber for Satellite Testing Using Optimization Algorithm: A Review

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