Abstract
Though conventional PID controllers (CPID) are effectively used in a wide range of industrial processes, they usually fail to provide satisfactory performance for third order systems (pH-neutralization process) due to large overshoots and oscillation. Nonlinear and adaptive PID controllers (APID) are being developed towards achieving the desired control performance for such systems. In this study, we make an attempt to develop particle swarm optimization (PSO) based adaptive PID controller (PSO-APID) in order to attain adequate servo as well as regulatory performance. While designing our PSO-APID, first we formulate the structure of the adaptive PID controller followed by its optimal parameter estimation for a given system using PSO. Performances of PSO-APID for pH neutralization process are compared with those of CPID and APID reported in the leading literature. From detailed performance analysis PSO-APID is found to provide significantly improved performance over others.
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Verma, S., Mudi, R.K. (2015). Particle Swarm Optimization Based Adaptive PID Controller for pH-Neutralization Process. In: Satapathy, S., Biswal, B., Udgata, S., Mandal, J. (eds) Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Advances in Intelligent Systems and Computing, vol 327. Springer, Cham. https://doi.org/10.1007/978-3-319-11933-5_18
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DOI: https://doi.org/10.1007/978-3-319-11933-5_18
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11932-8
Online ISBN: 978-3-319-11933-5
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