Publication Type : Book Chapter
Publisher : Springer Nature Singapore
Source : Studies in Infrastructure and Control
Url : https://doi.org/10.1007/978-981-19-3501-5_7
Campus : Coimbatore
School : School of Engineering
Year : 2022
Abstract : Iterative learning control (ILC) is well known for producing faster convergence using continuous output tracking based on the given reference plant model. This paper proposes a hybridization of the ILC with the fractional-order predictive PI (FOPPI) for time-delay processes. First, the design of L- and Q-filters for the ILC controller will be obtained using the process model. Then, the obtained filter coefficients are combined and fed to the feed-forward path after the error reduction and control signal conditioning. Finally, the performance of the proposed hybrid ILC-FOPPI controller is evaluated with the conventional PI, fractional-order PI (FOPI), and predictive PI (PPI) controllers over the time-delay processes. Simulation results obtained show the proposed technique’s effective improvement in faster settling and peak overshoot minimization.
Cite this Research Publication : P. Arun Mozhi Devan, Fawnizu Azmadi Hussin, Rosdiazli Ibrahim, M. Nagarajapandian, Maher Assaad, Novel Hybrid Iterative Learning–Fractional Predicative PI Controller for Time-Delay Systems, Studies in Infrastructure and Control, Springer Nature Singapore, 2022, https://doi.org/10.1007/978-981-19-3501-5_7