scholarly journals Control of Antenna Azimuth Position using Fractional order Lead Compensator

2018 ◽  
Vol 7 (2.24) ◽  
pp. 166 ◽  
Author(s):  
E Govinda Kumar ◽  
R Prakash ◽  
S Rishivanth ◽  
S A. Anburaja ◽  
A Gopi Krishna
Keyword(s):  
Robust Control ◽  
Fractional Order ◽  
Closed Loop ◽  
Position Control ◽  
Pi Controller ◽  
Antenna System ◽  
Fractional Order Calculus ◽  
Lead Compensator

This paper addresses the position control of antenna azimuth using proportional and integral (PI) controller and lead compensators. The fractional order calculus plays an important role for designing the robust control. The fractional order lead compensator is proposed for enhancing the closed loop performance of azimuth position control of antenna system. From the comparison of the closed loop responses, the proposed lead compensator delivers a superior closed loop performance when compared with PI controller and lead compensator. 

scholarly journals Robust control strategy for improving the performance of a soft robotic link

2021 ◽  
pp. 499-506
Author(s):  
Luis Nagua ◽  
Jorge Muñoz ◽  
Lisbeth Mena ◽  
Concepcion A. Monje ◽  
Carlos Balaguer
Keyword(s):  
Control System ◽  
Robust Control ◽  
Fractional Order ◽  
Control Strategy ◽  
Parallel Mechanism ◽  
Pi Controller ◽  
Main Element ◽  
Flexion Extension ◽  
Robust Control System ◽  
Fractional Order Pi Controller

The robotic neck mechanism considered in this paper has as main element a soft link that emulates a human neck with two DOF (flexion, extension and lateral bending). The mechanism is based on a Cable-Driven Parallel Mechanism (CDPM) with components easy to manufacture in a 3D printer.Due to the soft link properties and the platform mechanics, it is important to provide a robust control system. Two designs, a robust PID controller and a Fractional Order PI controller (FOPI) are proposed and compared, the fractional order control showing an enhanced performance. Both control approaches are tested in the real prototype, validating the soft neck feasibility and showing the robustness of the platform to mass changes at the neck tip.

scholarly journals Fractional Order Pi Controller for the Highly Efficient Power Regulation of DFIG Based Wind Power Conversion System

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Fractional Order ◽  
Closed Loop ◽  
Dynamic Control ◽  
Pi Controller ◽  
Simple Method ◽  
Control Approach ◽  
Power Regulation ◽  
Fractional Order Pi Controller ◽  
Doubly Fed ◽  
Fopi Controller

In an electric power grid connected wind generation system, dynamic control strategy is essential to use the wind energy efficiently as well as for an energy optimization. The present study has focused on decoupled power regulation of doubly fed induction generator, operating in wind turbine, in accordance with the vector control approach by applying fractional order proportional integral (FOPI) controller. The FOPI controller is designed based on a simple method; up such that the response of closed loop process is similar to the response of a specified fractional model whose transfer function is Bode’s ideal function. In this tuning operation, the parameters of the proposed fractional controller are established analytically using the impulse closed-loop response of the controlled process. To show the superior action of the developed FOPI controller in comparison with standard PI controller in different function conditions, the study is validated through simulation using the software MATLAB/Simulink

scholarly journals Fractional-Order Iterative Learning Control with Initial State Learning for a Class of Multiagent Systems

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Xungen Li ◽  
Shuaishuai Lv ◽  
Mian Pan ◽  
Qi Ma ◽  
Wenyu Cai
Keyword(s):  
Multiagent Systems ◽  
Fractional Order ◽  
Iterative Learning Control ◽  
Closed Loop ◽  
Learning Control ◽  
Iterative Learning ◽  
Initial State ◽  
Convergence Conditions ◽  
Fractional Order Calculus ◽  
State Learning

To solve the consensus problem of fractional-order multiagent systems with nonzero initial states, both open- and closed-loop PDα-type fractional-order iterative learning control are presented. Considering the nonzero states, an initial state learning mechanism is designed. The finite time convergences of the proposed methods are discussed in detail and strictly proved by using Lebesgue-p norm theory and fractional-order calculus. The convergence conditions of the proposed algorithms are presented. Finally, some simulations are applied to verify the effectiveness of the proposed methods.

Fractional order robust control based on Bode's ideal transfer function

2008 ◽  
Vol 42 (6-8) ◽  
pp. 999-1014 ◽  
Author(s):  
Abdelbaki Djouambi ◽  
Abdelfatah Charef ◽  
Alina Voda-Besancon
Keyword(s):  
Robust Control ◽  
Transfer Function ◽  
Fractional Order ◽  
Bode’S Ideal Transfer Function
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