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.
Novel Hybrid Iterative Learning–Fractional Predicative PI Controller for Time-Delay Systems
stud. in Infrastructure & Control
2022-09-11
19 pages
Article/Chapter (Book)
Electronic Resource
English
Hybrid Iterative Learning Controller-Based Fractional-Order Predictive PI Controller
Springer Verlag | 2022
|PREDICATIVE CONTROL OVER MULTIMODAL GROUND TRANSPORTATION
European Patent Office | 2020
|Iterative Learning Control for Nonlinear Time-Delay System
TIBKAT | 2022
|Study on Predicative Evaluation Method of Noise Generated by Engine
SAE Technical Papers | 1995
|