Application of Parallel Flower Pollination Algorithm to Fractional-Order Model Identification of BLDC Motor

2020 ◽  
Author(s):  
Prapapan Khluabwannarat ◽  
Auttarat Nawikavatan ◽  
Deacha Puangdownreong
Keyword(s):  
Fractional Order ◽  
Model Identification ◽  
Flower Pollination Algorithm ◽  
Bldc Motor ◽  
Order Model ◽  
Flower Pollination ◽  
Fractional Order Model

Fractional-order model identification for electro-hydraulic actuator

2015 ◽  
Author(s):  
Nuzaihan Mhd Yusof ◽  
Norlela Ishak ◽  
Mohd Hezri Fazalul Rahiman ◽  
Ramli Adnan ◽  
Mazidah Tajjudin
Keyword(s):  
Fractional Order ◽  
Model Identification ◽  
Hydraulic Actuator ◽  
Order Model ◽  
Fractional Order Model

scholarly journals Fractional-order model identification for state of health assessment of solid-oxide fuel cells

2018 ◽  
Vol 51 (24) ◽  
pp. 849-854 ◽  
Author(s):  
Boštjan Dolenc ◽  
Gjorgji Nusev ◽  
Vanja Subotić ◽  
Christoph Hochenauer ◽  
Nicole Gehring ◽  
...  
Keyword(s):  
Fuel Cells ◽  
Solid Oxide Fuel Cells ◽  
Fractional Order ◽  
Health Assessment ◽  
Model Identification ◽  
Solid Oxide ◽  
Oxide Fuel ◽  
State Of Health ◽  
Order Model ◽  
Fractional Order Model

Fractional order model identification using the sinusoidal input

2018 ◽  
Vol 83 ◽  
pp. 35-41 ◽  
Author(s):  
Shaikh M. Fahim ◽  
Salim Ahmed ◽  
Syed A. Imtiaz
Keyword(s):  
Fractional Order ◽  
Model Identification ◽  
Order Model ◽  
Fractional Order Model ◽  
Sinusoidal Input

Fractional Order Model Identification for a Billet Unloading Robotic Arm

2016 ◽  
Vol 841 ◽  
pp. 234-239 ◽  
Author(s):  
Iulia Clitan ◽  
Vlad Mureşan ◽  
Andrei Florin Clitan ◽  
Mihail Abrudean
Keyword(s):  
Experimental Data ◽  
Fractional Order ◽  
Model Identification ◽  
Step Response ◽  
Robotic Arm ◽  
Positioning System ◽  
Order Model ◽  
Integer Order ◽  
Fractional Order Model ◽  
The Mean

This paper presents a fractional model identification for a billet unloading robotic arm’s positioning system. First, an integer order model is obtained using a graphical identification method based on a set of experimental data. The experimental data represents the robotic arm’s position, measured using an encoder, at a constant billet displacement. The integer order model was obtained based on the overall performances of the measured robotic arm’s step response. The mean square error between the measured data and the model step response is high, thus, in order to decrease the error and to obtain a more accurate model, a fractional order model is determined using an iterative procedure.

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