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http://dx.doi.org/10.11627/jksie.2022.45.3.131

Optimal PID Control for Temperature Control of Chiller Equipment  

Park, Young-shin (Department of Industrial & Systems Engineering, Kongju National University)
Lee, Dongju (Department of Industrial & Systems Engineering, Kongju National University)
Publication Information
Journal of Korean Society of Industrial and Systems Engineering / v.45, no.3, 2022 , pp. 131-138 More about this Journal
Abstract
The demand for chiller equipment that keeps each machine at a constant temperature to maintain the best possible condition is growing rapidly. PID (Proportional Integral Derivation) control is a popular temperature control method. The error, which is the difference between the desired target value and the current system output value, is calculated and used as an input to the system using a proportional, integrator, and differentiator. Through such a closed-loop configuration, a desired final output value of the system can be reached using only the target value and the feedback signal. Furthermore, various temperature control methods have been devised as the control performance of various high-performance equipment becomes important. Therefore, it is necessary to design for accurate data-driven temperature control for chiller equipment. In this research, support vector regression is applied to the classic PID control for accurate temperature control. Simulated annealing is applied to find optimal PID parameters. The results of the proposed control method show fast and effective control performance for chiller equipment.
Keywords
PID Control; Support Vector Regression; Simulated Annealing;
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