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Demonstrates the effectiveness of PID control for pneumatic springs, suggesting potential for neural network applications.
The pneumatic springs are frequently used as a machine component. They are mainly used for passive vibration damping with the possibility to regulate the working height of the springs. The paper describes the creation of a mathematical model of a spring controlled thru the PID regulator. At conclusion are summarized the limits of PID control and sketches the future possibility of substituting the PID controller by a neural network.
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Rágulík et al. (2019) studied this question.
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