2018
DOI: 10.3390/pr6100197
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Interactive Tool for Frequency Domain Tuning of PID Controllers

Abstract: This paper presents an interactive tool focused on the study of proportional-integral-derivative (PID) controllers. Nowadays, PID control loops are extensively used in industrial applications. However, it is reported that many of them are badly tuned. From an educational point of view, it is essential for undergraduate students in control engineering to understand the importance of tuning a control loop correctly. For this reason, the tool provides different PID tuning methods in the frequency domain for stabl… Show more

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Cited by 17 publications
(17 citation statements)
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“…where the k p and k i gain values are obtained by using the Ziegler-Nichols second method [35,36]. Initially, the k p gain value was set by the Ziegler-Nichols second method table value as 0.6, then the tuning procedure was continued by the proportional-integral-derivative (PID) controller autotuning in the MATLAB/Simulink environment to obtain the k i value for improved performance.…”
Section: Reference Current Generation Scheme For Mfi Control and Gridmentioning
confidence: 99%
“…where the k p and k i gain values are obtained by using the Ziegler-Nichols second method [35,36]. Initially, the k p gain value was set by the Ziegler-Nichols second method table value as 0.6, then the tuning procedure was continued by the proportional-integral-derivative (PID) controller autotuning in the MATLAB/Simulink environment to obtain the k i value for improved performance.…”
Section: Reference Current Generation Scheme For Mfi Control and Gridmentioning
confidence: 99%
“…According to [9,33], the stable bounded region in the K P -K I space can be calculated using the following steps:…”
Section: The Pi Stabilization Problemmentioning
confidence: 99%
“…Step 2: According to tuning by critical gain margin (A m = 1) of [33], calculate the (K P , K I ) values scanning the frequency range (0, ω max ), as follows:…”
Section: The Pi Stabilization Problemmentioning
confidence: 99%
“…In general, the introduction of these tools has led, to some extent, to an improvement in their learning. For example, in automatic control, graphical and interactive tools created in different environments, such as MATLAB [32][33][34], Sysquake [35,36] or Easy Java/Javascript Simulation [37], represent a suitable and easy way of explaining and illustrating non-intuitive contents that are difficult to understand. Reviewing recent state of the art, many other different topics in which educational tools have been introduced can be found, including electronics [38], physics [39,40], mechanical engineering [41,42], thermodynamics [43], optics [44] or robotics [45].…”
Section: Introductionmentioning
confidence: 99%