On-line Adaptive Scaling Parameter in Active Disturbance Rejection Controller

Author(s):  
Maroua Haddar ◽  
S. Caglar Baslamisli ◽  
Fakher Chaari ◽  
Mohamed Haddar
2012 ◽  
Vol 588-589 ◽  
pp. 479-483
Author(s):  
Song Wang ◽  
Guang Da Li

A new method named Windowed Least Square (WLS) to test main parameters of Permanent Magnet Synchronous Motor (PMSM) is proposed in this paper. Compared with Extended Kalman Filter (EKF) & Elman neural network and Recursive Least Square (RLS), WLS guarantees identification accuracy and excellent timeliness, and the issue of data saturation of RLS can be avoided. The PMSM model is built combining on-line parameter identification with Active Disturbance Rejection Control (ADRC) to improve the control performance of PMSM. The simulation results demonstrate that the performance of ADRC system using online estimation strategy is better than that of the system using PID method.


2012 ◽  
Vol 60 (3) ◽  
pp. 509-520 ◽  
Author(s):  
M. Przybyła ◽  
M. Kordasz ◽  
R. Madoński ◽  
P. Herman ◽  
P. Sauer

Abstract This paper presents a practical verification of an Active Disturbance Rejection Control (ADRC) method in governing a multidimensional system. The experiments were conducted on a two degrees of a freedom planar manipulator with only partial knowledge about the mathematical model of the plant. This multi input multi output system was controlled with a set of two, independent, single input single output ADRC controllers, each regulating one of the manipulator degree of freedom. Modeling uncertainty (nonlinearities, cross-coupling effects, etc.) and external disturbances were assumed to be a part of the disturbance, to be estimated with an observer and cancelled on-line in the control loop. The ADRC robustness was experimentally compared with the results obtained from using two decentralized, classic PID controllers. Both control methods were tested under various conditions, e.g. changing the inertial parameters of the plant. Significantly better results, in terms of parametric robustness, have been reported for the ADRC approach.


2013 ◽  
Vol 344 ◽  
pp. 164-169
Author(s):  
Jiu Long Jiang ◽  
Xue Ren Li ◽  
Jun Du ◽  
Chen Wu

The control problem of certain type of aero-engine is studied in the article. And active disturbance rejection control (ADRC) is applied into the control of aero-engine. In light of the problem of parameter optimization in ADRC, through the principle of parameter optimization analysis, rule of parameter optimization is revealed in this article. Based on parameter optimization rule, an adaptive parameter optimization law is designed to optimize the parameter of ADRC by on-line adaptive parameter tuning method. Some conclusions are suggested by the simulation result: compared with PID controller, that the ADRC controller is proved better in responding time, overshoot, steady-state error, disturbance rejection performance and control performance.


ROBOT ◽  
2011 ◽  
Vol 33 (4) ◽  
pp. 461-466 ◽  
Author(s):  
Hao LIU ◽  
Tao WANG ◽  
Wei FAN ◽  
Tong ZHAO ◽  
Junzheng WANG

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