Abstract
The recent decades have witnessed refrigeration systems playing an important role in the life of human beings, with wide applications in various fields, including building comfort, food storage, food transportation and the medical special care units. However, if the temperature is not controlled well, it will lead to many harmful public health effects, such as the human being catching colds, food spoilage and harm to the recovering patients. Besides, refrigeration systems consume a significant portion of the whole society’s electricity usage, which consequently contributes a considerable amount of carbon emissions into the public environment. In order to protect human health and improve the energy efficiency, an optimal control strategy is designed in this paper with the following steps: (1) identifying the refrigeration system model based on a least squares method; (2) tuning an initial group of parameters of the proportional-integral-derivative (PID) controller via the pidTuner Toolbox of Matlab; (3) using an intelligent algorithm, namely fruit fly optimization (FOA), to further optimize the parameters of the PID controller. By comparing the optimal PID controller and the controller provided in the reference, the simulation results demonstrate that the proposed optimal PID controller can produce a more controllable temperature, with less tacking overshoot, less settling time, and more stable performance under a constant set-point.
Highlights
Nowadays, refrigeration systems play an essential part in the daily life of human beings.Controlling the temperature by refrigeration techniques is involved in various areas such as human comfort, food storage, food transportation and the environment [1]
Refrigeration systems are critical for public health and carbon emissions
To deal with the characteristics of nonlinearity and high coupling, this paper solves this problem by applying an intelligent fly optimization (FOA) algorithm to optimize the parameters of PID controllers to improve the control performance
Summary
Refrigeration systems play an essential part in the daily life of human beings.Controlling the temperature by refrigeration techniques is involved in various areas such as human comfort, food storage, food transportation and the environment [1]. Refrigeration systems play an essential part in the daily life of human beings. Fly optimization (FOA) is Algorithm a new method for solving optimization problems which was proposed by Pan [16] This algorithm is is based on method the behavior of fruitoptimization fly foraging,problems and the. Fruit fly optimization algorithm a new for solving parameters we aim to optimize are set as the position of the fruit fly swarm. The algorithm is executed which was proposed by Pan [16] This algorithm is based on the behavior of fruit fly foraging, and as thefollows: parameters we aim to optimize are set as the position of the fruit fly swarm. The direction and executed as the follows: distance of the movement of the each fly is the position of the fly swarm updated
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