scholarly journals A Novel Linear Active Disturbance Rejection Control Design for Air-Breathing Supersonic Vehicle Attitude System with Prescribed Performance

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Chao Ming ◽  
Xiaoming Wang

This paper investigates the design problem of the attitude controller for air-breathing supersonic vehicle subject to uncertainties and disturbances. Firstly, the longitudinal model is established for the attitude controller design which is devised as a strict feedback formulation, and a transformed tracking error is derived with the prescribed performance control technique such that it can limit the tracking error to a predefined region. Then, a novel linear active disturbance rejection control scheme is proposed for the attitude system to enhance the steady-state and transient-state performances by incorporating the transformed tracking error. On the basis of the Lyapunov stability theorem, the convergence and stability characteristics are both rigorously proved for the closed-loop system. Finally, extensive contrast simulations are conducted to demonstrate the effectiveness, robustness, and advantage of the proposed control strategy.

2019 ◽  
Vol 2019 ◽  
pp. 1-20 ◽  
Author(s):  
Chenyang Xu ◽  
Humin Lei ◽  
Na Lu

Aiming at the longitudinal motion model of the air-breathing hypersonic vehicles (AHVs) with parameter uncertainties, a new prescribed performance-based active disturbance rejection control (PP-ADRC) method was proposed. First, the AHV model was divided into a velocity subsystem and altitude system. To guarantee the reliability of the control law, the design process was based on the nonaffine form of the AHV model. Unlike the traditional prescribed performance control (PPC), which requires accurate initial tracking errors, by designing a new performance function that does not depend on the initial tracking error and can ensure the small overshoot convergence of the tracking error, the error convergence process can meet the desired dynamic and steady-state performance. Moreover, the designed controller combined with an active disturbance rejection control (ADRC) and extended state observer (ESO) further enhanced the disturbance rejection capability and robustness of the method. To avoid the differential expansion problem and effectively filter out the effects of input noise in the differential signals, a new tracking differentiator was proposed. Finally, the effectiveness of the proposed method was verified by comparative simulations.


2019 ◽  
Vol 103 (1) ◽  
pp. 003685041988356
Author(s):  
Nan Sang ◽  
Lele Chen

A linear vehicle model is commonly employed in the controller design for an active front steering (AFS). However, this simplified model has a considerable influence on the accuracy of the controller. In this article, an AFS controller using an active disturbance rejection control (ADRC) technique is proposed to prevent this problem. The AFS controller was established in MATLAB/Simulink to control the CarSim vehicle model for verification of the simulation. Under the straight-line driving disturbance condition, proportion-integration-differentiation (PID) control and ARDC substantially decreased with respect to the uncontrolled lateral offset and ADRC performed better than PID control. Under the double lane change (DLC) test working condition, the tracking error of the path, yaw rate, roll angle, and lateral acceleration, and error of the driving direction were used to evaluate the vehicle’s controllability and stability. These evaluation indexes were substantially improved by PID control and ADRC; similarly, ADRC was better than PID control. The tracking error of the ADRC in the presence of parameter variance and external disturbance was significantly smaller than that of PID control. The results have verified that the AFS controller based on ADRC can significantly improve vehicle controllability and stability.


2012 ◽  
Vol 182-183 ◽  
pp. 1474-1478
Author(s):  
Fei Meng ◽  
Jien Yang ◽  
Peng Song Yang ◽  
Biao Sun

Function fhan() and tracking differentiator are important components of Active Disturbance Rejection Control Technique. It is pointed out that function fhan() is not the optimal control synthesis function of discrete system, but function fsun() is. Amplitude and phase frequency characteristic curves of tracking differentiators constructed respectively by function fhan() and fsun() are given by computer simulations. The account formula about turning frequency is also given. Influence of parameter variation on tracking differentiator frequency characteristic is analyszed. The conclusion of this paper is supplement and perfection for the theory of tracking differentiator in Active Disturbance Rejection Control Technique, and it can promote rapid development of Active Disturbance Rejection Control Technique.


2013 ◽  
Vol 404 ◽  
pp. 603-608
Author(s):  
Qing Bo Wu ◽  
Fu Yang Chen ◽  
Chang Yun Wen

In this paper, a self-repairing control scheme for attitude control of a quadrotor helicopter via active disturbance rejection control is proposed. Firstly, a model of the quadrotor helicopter is gained by its dynamic equations with pitch, roll and yaw axis. Then the active disturbance rejection controller is introduced, which is used to design the control system. The control system consists of PID controller in inner-loop and ADRC controller in outer-loop. Disturbances and uncertainties can be compensated by the ADRC to achieve smaller tracking error. Finally, the simulation results of the four-rotor helicopter validate the efficiency and self-repairing capability of the proposed control algorithm, compared with that of the PID control and the separate ADRC control.


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