DefinePK hosts the largest index of Pakistani journals, research articles, news headlines, and videos. It also offers chapter-level book search.
Title: Classical and non-linear predictive control applied to a non-linear system of coupled tanks
Authors: Mayra Olaya Casanova, Hamilton Sánchez Lara, Diego F. Sendoya-Losada
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2020
Volume: 15
Issue: 14
Language: English
This document presents the design, implementation and comparison of algorithms to control the liquid level in a non-linear system of two coupled tanks. First, a Proportional-Integral (PI) controller was designed; then, a Model-based Predictive Controller (MPC) using the Non-linear Extended Prediction Self-Adaptive Control (NEPSAC) algorithm was designed. The performance of the controllers was evaluated in two scenarios: Setpoint Tracking and Disturbance Rejection. It is concluded that the NEPSAC algorithm presents better performance with respect to the PI, since the PI works correctly in regions very close to the setpoint while the NEPSAC, not requiring linearization of the system, has a performance that does not depend on the setpoint, presenting excellent characteristics at any reference point. To validate the results obtained, the Root Mean Square Error (RMSE) was used, which resulted in better values for the NEPSAC than for the PI.
Loading PDF...
Loading Statistics...