Fractional-order approximations to implicitly-defined operators for modeling and control of networked mechanical systems

2016 ◽  
Author(s):  
Bill Goodwine
Keyword(s):  
Fractional Order ◽  
Mechanical Systems ◽  
Modeling And Control ◽  
And Control

Fractional-order modeling and control of selected physical systems

2019 ◽  
pp. 293-320 ◽  
Author(s):  
Andrzej Dzieliński ◽  
Dominik Sierociuk ◽  
Grzegorz Sarwas
Keyword(s):  
Fractional Order ◽  
Modeling And Control ◽  
Physical Systems ◽  
And Control

scholarly journals An Experimental Approach towards Motion Modeling and Control of a Vehicle Transiting a Non-Newtonian Environment

2021 ◽  
Vol 5 (3) ◽  
pp. 104
Author(s):  
Isabela Birs ◽  
Cristina Muresan ◽  
Ovidiu Prodan ◽  
Silviu Folea ◽  
Clara Ionescu
Keyword(s):  
Fractional Order ◽  
Process Model ◽  
Real Life ◽  
Optimization Techniques ◽  
Motion Modeling ◽  
Modeling And Control ◽  
Control Approach ◽  
Real Life Data ◽  
And Control ◽  
The Mathematical Model

The present work tackles the modeling of the motion dynamics of an object submerged in a non-Newtonian environment. The mathematical model is developed starting from already known Newtonian interactions between the submersible and the fluid. The obtained model is therefore altered through optimization techniques to describe non-Newtonian interactions on the motion of the vehicle by using real-life data regarding non-Newtonian influences on submerged thrusting. For the obtained non-Newtonian fractional order process model, a fractional order control approach is employed to sway the submerged object’s position inside the viscoelastic environment. The presented modeling and control methodologies are solidified by real-life experimental data used to validate the veracity of the presented concepts. The robustness of the control strategy is experimentally validated on both Newtonian and non-Newtonian environments.

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