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PID and fuzzy logic optimized controller for temperature control in a cavity of refrigeration

机译:用于温度控制的PID和模糊逻辑优化控制器在制冷中的温度控制

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Genetic algorithm has been widely used in the various optimal problems. Its application in the fuzzy control is still limited by factors such as local optimal and premature convergence. Therefore, this paper proposes an alternative method for designing fuzzy logic controller for temperature control inside the cavity of refrigeration. The control strategy was applied to a third-order discrete state space system, which computes the internal air temperature according to the temperature at the level of the evaporator exchanger. The system was obtained by linearization of a pseudo bond graph model of thermal transfers inside the refrigeration cavity. A performance comparison was carried out with PID controller to show the effectiveness of the proposed method.
机译:遗传算法已广泛应用于各种最佳问题。其在模糊控制中的应用仍然受到局部最佳和早产的因素的限制。因此,本文提出了一种用于设计模糊逻辑控制器的替代方法,用于在制冷腔内的温度控制。控制策略应用于三阶离散状态空间系统,其根据蒸发器交换器的电平的温度计算内部空气温度。通过在制冷腔内的热转移伪键曲线图模型的线性化获得该系统。使用PID控制器进行性能比较,以显示所提出的方法的有效性。

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