Experiments in Iterative Feedback tuning for level control of three-tank system

Abstract

This paper investigates the applicability of Iterative Feedback Tuning (IFT) to the level control of a three-tank system laboratory equipment. First two PID controllers are designed in terms of the frequency domain approach. Next IFT is employed to improve the control system performance indices. Digital simulation results and real-time experimental results validate the new control solution.

Data-based Tuning of PI Controllers for Vertical Three-Tank Systems

“…The integral components of PI controllers cope with the cross-couplings specific to MIMO systems. However, different organizations of the experiments specific to MIMO systems can be applied in this context in order to ensure further control system performance improvement (Sjöberg et al, 2003;Huusom et al, 2009;Rădac et al, 2009;McDaid et al, 2010;Precup et al, 2010).…”

“…The control system structure given in Figure 2 assumes that the level in the tank T3, H 3 , is a response which is uncontrollable, and that the pressure sensors PS1, PS2 and PS3 are included in the process dynamics (P). As suggested by Precup et al (2010), a simple control system structure that can fulfil these control objectives is presented in Figure 3. Figure 3 points out a MIMO control system structure with two control loops dedicated to the separate control of H 1 and H 2 , where, (1) The separate control of H 1 and H 2 by means of the control system structure presented in Figure 3 is justified as:…”

“…The efficiency of IFT applied to MIMO processes is proved in several applications (Hjalmarsson, 1998); (Sjöberg et al, 2003); (Huusom et al, 2009); (Rădac et al, 2009); (McDaid et al, 2010); (Precup et al, 2010); (Precup et al, 2012). This paper is built upon the IFT algorithms applied to tuning of PID controllers and PI-fuzzy controllers in level control problems for horizontal three-tank systems (Precup et al, 2010); (Precup et al, 2012). MIMO control systems which consist of two control loops for each level control are involved.…”

Fuzzy predictive control of three-tank system based on a modeling framework of hybrid systems

“…5 In addition, controlling different configurations of tank system have been of great importance in recent years. [6][7][8][9][10][11][12] Wu et al 6 have introduced a limited lookahead supervisory controller for switching hybrid systems (SHS). They have demonstrated that the performance of the proposed scheme has been improved under both normal and faulty conditions.…”

“…The liquid-level control process in tank systems has been widely considered by many researchers as a case study, representing nonlinear type of multivariable chemical processes in order to impose the methods for identification, fault detection, or control purposes. [5][6][7][8][9][10][11][12][13][14][15][16] This system possesses a rich nonlinear dynamic, high complexity, and strong coupling. 5 In addition, controlling different configurations of tank system have been of great importance in recent years.…”