Abstract
This paper focuses on the development and real time implementation of an intelligent optimisation method based on particle swarm optimisation (PSO) for the control of liquid level in a spherical tank. Control of liquid level in spherical tank is highly non-linear due to the variations in the area of cross section of the level system with height. System identification of the non-linear process is done using black box modelling and found to be first order plus dead time (FOPDT) model. Initially proportional integral (PI) controller based on Ziegler Nichols (ZN) settings is designed, the results are compared with internal model control (IMC) based on Skogestad's settings and PSO-based PI controller. The robustness of all the controllers is validated by imposing both servo and regulatory disturbances. The real time implementation of the process is done in Labview using USB-based DAQ module. Better controller performance can be envisaged by in the proposed methods using IMC-based PI controller and PSO-based PI controller than that of the ZN tuned PI controller.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
