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Article

Design and Comparison of Strategies for Level Control in a Nonlinear Tank

Electrical Engineering Department, Faculty of Engineering, University of Santiago of Chile (USACH), Av. Ecuador 3519, Estación Central, Santiago 9170124, Chile
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Academic Editor: Luis Puigjaner
Processes 2021, 9(5), 735; https://doi.org/10.3390/pr9050735
Received: 18 February 2021 / Revised: 15 April 2021 / Accepted: 20 April 2021 / Published: 22 April 2021
In this work, a study of the water level control of an inverted conical tank system is presented. This type of tank has highly nonlinear mathematical and dynamic characteristics. Four control strategies are designed, applied, and compared, namely classical Proportional–Integral–Derivative (PID), Gain Scheduling (GS), Internal Model Control (IMC), and Fuzzy Logic (FL). To determine which of the designed control strategies are the most suitable for an inverted conical tank, a comparative study of the behavior of the system is carried out. With this purpose, and considering situations much closer to reality, a variety of scenarios, such as step responses, random input disturbances, and momentary load disturbances, are conducted. Additionally, performance indexes (error- and statistics-based) are calculated to assess the system’s response. View Full-Text
Keywords: conical tank; process control; closed-loop control; PID; gain scheduling; internal model control; fuzzy logic; performance indexes conical tank; process control; closed-loop control; PID; gain scheduling; internal model control; fuzzy logic; performance indexes
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MDPI and ACS Style

Urrea, C.; Páez, F. Design and Comparison of Strategies for Level Control in a Nonlinear Tank. Processes 2021, 9, 735. https://doi.org/10.3390/pr9050735

AMA Style

Urrea C, Páez F. Design and Comparison of Strategies for Level Control in a Nonlinear Tank. Processes. 2021; 9(5):735. https://doi.org/10.3390/pr9050735

Chicago/Turabian Style

Urrea, Claudio, and Felipe Páez. 2021. "Design and Comparison of Strategies for Level Control in a Nonlinear Tank" Processes 9, no. 5: 735. https://doi.org/10.3390/pr9050735

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