Multivariable Fractional Order PI Autotuning Method for Heterogeneous Dynamic Systems
Ricardo Alfredo Cajo Diaz,Cristina I. Muresan,Clara-Mihaela Ionescu,Robain De Keyser,Douglas Antonio Plaza Guingla +4 more
TLDR
The proposed robust Fractional Order Proportional-Integral autotuning control strategy is presented and applied to heterogeneous dynamic systems using decentralized control and its performance is compared against two other fractional order controllers based on PI gain-crossover autotuned method and Internal Model Control.About:
This article is published in IFAC-PapersOnLine.The article was published on 2018-01-01 and is currently open access. It has received 6 citations till now. The article focuses on the topics: Control theory & Robustness (computer science).read more
Citations
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Journal ArticleDOI
A Review of Recent Developments in Autotuning Methods for Fractional-Order Controllers
Cristina I. Muresan,Isabela Roxana Birs,Clara-Mihaela Ionescu,Eva-Henrietta Dulf,Robin De Keyser +4 more
TL;DR: The scientific community has recently seen a fast-growing number of publications tackling the topic of fractional-order controllers in general, with a focus on the fractional order PID.
Journal ArticleDOI
A Survey of Fractional Order Calculus Applications of Multiple-Input, Multiple-Output (MIMO) Process Control
TL;DR: This work discusses the state-of-the-art of fractional control applied to MIMO systems and outlines different types of applications, fractional controllers, controller tuning rules, experimental validation, software, and appropriate loop decoupling techniques, leading to literature gaps and research opportunities.
Journal ArticleDOI
The Potential of Fractional Order Distributed MPC Applied to Steam/Water Loop in Large Scale Ships
TL;DR: A fractional order model predictive control with an extended prediction self adaptive controller framework was designed for the steam/water loop with a distributed scheme and showed superiority with reference tracking and load fluctuation experiments.
Proceedings ArticleDOI
Multiple UAVs Formation for Emergency Equipment and Medicines Delivery Based on Optimal Fractional Order Controllers
TL;DR: This article studies a leader-follower formation algorithm based on fractional order proportional-derivative (FOPD) controller for multiple unmanned aerial vehicles (UAVs) when tackling an emergency health case and demonstrates that the proposed approach outperforms the IOPD controller.
Book ChapterDOI
Design Fractional Order PI Controller with Decoupler for MIMO Process Using Diffusive Representation
TL;DR: In this article, a decentralized fractional order PI controller (FO-PI) with decoupler for the pilot plant binary distillation column (multivariable process) is presented.
References
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Journal ArticleDOI
Tuning and auto-tuning of fractional order controllers for industry applications
TL;DR: In this article, a method for tuning the PI λ D μ controller is proposed to fulfill five different design specifications, including gain crossover frequency, phase margin, and iso-damping property of the system.
Journal ArticleDOI
A novel auto-tuning method for fractional order PI/PD controllers.
TL;DR: A novel approach for the auto-tuning of fractional order controllers is proposed, based on a simple experiment that is able to determine the modulus, phase and phase slope of the process required in the computation of the controller parameters.
Journal ArticleDOI
Development and implementation of an FPGA based fractional order controller for a DC motor
TL;DR: This paper proposes a simple approach for designing a fractional order PI controller for controlling the speed of a DC motor, implemented on an FPGA target and its performance is compared to other possible benchmarks.
Journal ArticleDOI
Tuning algorithms for fractional order internal model controllers for time delay processes
Cristina I. Muresan,Abhishek Dutta,Eva-Henrietta Dulf,Zehra Pinar,Anca Maxim,Clara M. Ionescu +5 more
TL;DR: Two tuning algorithms for fractional-order internal model control (IMC) controllers for time delay processes based on two specific closed-loop control configurations, based on the IMC control structure and the Smith predictor structure are presented.
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