Examples of robust controller design

Buljevic, Anja; Miletic, Milos; Mitrović, Aleksandra; Kapetina, N Mirna; Rapaić, Milan R.

doi:10.2298/sjee2001065b

Cited by 3 publications

(3 citation statements)

References 9 publications

(11 reference statements)

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“…This parameter, in fact, represents the inverse value of the shortest distance of the Nyquist curve from the critical point −1 [11]. Recommended values that characterize good robustness are between 1.2 and 2.…”

Section: Robustness Analysismentioning

confidence: 99%

“…Regardless of the continuous improvement in the control technology, the PID controllers are still the most commonly used in industrial applications due to their simple structure, robustness, simplicity, and easy comprehension [11][12][13][14][15][16][17]. Furthermore, PID controller and PI controller are frequently used for tank-level control as described in [18][19][20][21][22][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

“…Comparison of the conventional PI controller with the fractional PI (FOPI) controller is described in [11]. Linear model predictive control can be efficiently used for coupled tank system liquid-level control [5].…”

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confidence: 99%

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Nonlinear Tank-Level Control Using Dahlin Algorithm Design and PID Control

et al. 2023

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Liquid-level control in tanks is widely used in various industrial sectors. Due to problems arising from the case that the liquid level is above or below the recommended, the process of its control is of great significance. The proportional integral differential (PID) controller is one of the most widely used controllers in applications that require accuracy and optimal automatic control. In this paper, single and coupled ship fuel tank systems are discussed. In addition, mathematical models and their linearization using two different approaches are presented. The two control approaches are used to maintain the specified liquid level in tanks. The first is based on the design of standard PID controllers, with the application of the Ziegler–Nichols, Takahashi tuning, and Auto-tuning methods. The second approach, proposed by the authors, is based on the application of the Dahlin algorithm. The simple modification of the Dahlin controller, which can avoid the “ringing” of the control signal, is suggested in the paper. Moreover, the lower limit of the decrease in the desired time constant, which ensures the desired behavior of the system, is determined. The comparisons provided for different performance indexes show the advantages of the modified Dahlin algorithm approach compared to the standard PID controllers. Furthermore, the comparison with the literature-known approaches is realized.

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Section: Robustness Analysismentioning

confidence: 99%