A robust adaptive control architecture for disturbance rejection and uncertainty suppression withL ∞ transient and steady-state performance guarantees

2012 ◽  
Vol 26 (11) ◽  
pp. 1024-1055 ◽  
Author(s):  
Tansel Yucelen ◽  
Wassim M. Haddad
Author(s):  
R Whalley

Matrix quadratic descriptions for series coupled mechanical systems are used in the synthesis of controllers generating prescribed closed-loop pole configurations. Three-term control action is introduced to improve the load disturbance rejection properties of the system while maintaining the specified set-point response. Conditions maximizing the closed-loop model's steady state determinant value, constraining thereby the error to load disturbances, are derived and a study illustrating this feature is presented. The interaction between the transient and steady state performance of the system is commented upon.


Actuators ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 307
Author(s):  
Qinan Chen ◽  
Hui Chen ◽  
Deming Zhu ◽  
Linjie Li

Airline electromechanical actuators (EMAs), on the task of controlling flight surfaces, hold a great promise with the development of more- and all-electric aircraft. Notwithstanding, the deficiencies in both robustness and adaptability of control algorithms prevent EMAs from extensive use. However, the state-of-the-art control schemes fail to precisely compensate the system nonlinear uncertainties of servo control. In this paper, from the innovation point of view, we tend to put forward the foundation of devising an active disturbance rejection robust adaptive control (ADRRAC) strategy, whose main purpose is to deal with the position servo control of EMA. Specifically, an adaptive control law is designed and deployed for resolving not only the nonlinear disturbance, but also the parameter uncertainties. In addition, an extended disturbance estimator is employed to estimate the external disturbance and thus eliminate its impact. The proposed controlling algorithm is deemed best able to address the external disturbance based on the nonlinear uncertainty compensation. With the input parameters and control commands, the ADRRAC strategy maintains servo system stability while approaching the controlling target. Following the algorithm description, a proof of the controlling stability of ADRRAC strategy is presented in detail as well. Experiments on a variety of tracking tasks are conducted on a prototype of an EMA to investigate the working performance of the proposed control strategy. The experimental outcomes are reported, which verify the effectiveness of the ADRRAC strategy, compared to widely applied control strategies. According to the data analysis results, our controller is capable of obtaining an even faster system response, a higher tracking accuracy and a more stable system state.


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