scholarly journals Fractional-Order PID and Active Disturbance Rejection Control with Tuning Parameter Optimization for Induction Heating

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Bingyu Li ◽  
Jining Guo ◽  
Ying Fu
Keyword(s):  
Fractional Order ◽  
Temperature Control ◽  
Induction Heating ◽  
Disturbance Rejection ◽  
Active Disturbance Rejection Control ◽  
Heating Systems ◽  
Active Disturbance Rejection ◽  
Disturbance Rejection Control ◽  
Fractional Order Pid ◽  
Control Accuracy

Induction heating systems are characterized by model uncertainty, nonlinearity, and external disturbances, and the control accuracy of the system directly affects the performance of the heated workpiece. In order to improve the temperature control accuracy and anti-interference performance of induction heating systems, this paper proposes a composite control strategy combining fractional-order PID (FOPID) and active disturbance rejection control (ADRC). Meanwhile, for the problem of too many controller tuning parameters, an improved quantum behavior particle swarm optimization (QPSO) algorithm is used to transform the nine parameters to be tuned in fractional-order PID active disturbance rejection control (FOPID-ADRC) into a minimization value optimization problem for solving. The simulation results show that the FOPID-ADRC controller improves the anti-interference capability and control accuracy of the temperature control system, and the improved QPSO algorithm has better global search capability and local optimal adaptation value.

scholarly journals Fractional-Order PID Controller for Active Power Filter Using Active Disturbance Rejection Control

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Nixuan Liu ◽  
Siqi Cao ◽  
Juntao Fei
Keyword(s):  
Fractional Order ◽  
Disturbance Rejection ◽  
Pid Controller ◽  
Control Method ◽  
Active Power Filter ◽  
Power Filter ◽  
Active Disturbance Rejection ◽  
Disturbance Rejection Control ◽  
Fractional Order Pid ◽  
Fractional Order Pid Controller

This paper proposed a fractional-order PID controller and active disturbance rejection control (ADRC) method for the current compensation of active power filter (APF). The control method consists of two closed loops. One is a reference current tracking loop based on the ADRC controller, which can treat the internal and external uncertainties of the system as a whole. The other is the voltage control loop with the fractional-order PID controller for more flexibility. Simulation results demonstrate that the proposed control method has a stronger robustness and higher compensating precision comparing with the double-loop PID control method.

scholarly journals Fractional Order Linear Active Disturbance Rejection Control for Linear Flexible Joint System

2022 ◽  
Vol 70 (3) ◽  
pp. 5133-5142
Author(s):  
Ibrahim M. Mehedi ◽  
Rachid Mansouri ◽  
Ubaid M. Al-Saggaf ◽  
Ahmed I. M. Iskanderani ◽  
Maamar Bettayeb ◽  
...  
Keyword(s):  
Fractional Order ◽  
Disturbance Rejection ◽  
Active Disturbance Rejection Control ◽  
Joint System ◽  
Flexible Joint ◽  
Order Linear ◽  
Active Disturbance Rejection ◽  
Disturbance Rejection Control

scholarly journals A Novel Active Disturbance Rejection Control with a Super-Twisting Observer for the Rocket Launcher Servo System

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Di-Fen Shi ◽  
Yuan-Long Hou ◽  
Xiao-Hui Gu ◽  
Run-Min Hou
Keyword(s):  
Disturbance Rejection ◽  
Servo System ◽  
Phase Delay ◽  
Active Disturbance Rejection Control ◽  
Taylor’S Formula ◽  
Tracking Differentiator ◽  
Active Disturbance Rejection ◽  
Disturbance Rejection Control ◽  
Control Accuracy ◽  
Taylor's Formula

In this paper, a novel active disturbance rejection control (NADRC) with a super-twisting extended state observer (SESO) is utilized in the rocket launcher servo system. The main arguments in the shipborne rocket launcher system are control accuracy and antidisturbance ability, which are closely related to phase delay and bandwidth. Firstly, we use Taylor’s formula approach to compensate the phase delay in traditional tracking differentiator (TD). Secondly, we design the parallel structured SESO to improve the observation bandwidth, so that it can estimate states with desired accuracy in NADRC. Finally, sinusoidal simulation results show Taylor’s formula-based TD can suppress noise and compensate phase delays effectively. In comparison with traditional ADRC, the proposed NADRC is shown to have better tracking performance and stronger robustness. Semiphysical experiments are conducted to prove the feasibility of NADRC.

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