Discrete‐time design and applications of uncertainty and disturbance estimator

2021 ◽  
Author(s):  
Ram Padmanabhan ◽  
Maithili Shetty ◽  
T. S. Chandar
Keyword(s):  
Discrete Time ◽  
Uncertainty And Disturbance Estimator ◽  
Disturbance Estimator

Control of Uncertain LTI Systems Based on an Uncertainty and Disturbance Estimator

2004 ◽  
Vol 126 (4) ◽  
pp. 905-910 ◽  
Author(s):  
Qing-Chang Zhong ◽  
David Rees
Keyword(s):  
Time Delay ◽  
Robust Control ◽  
Robust Stability ◽  
Control Strategy ◽  
Time Delay Control ◽  
Delay Control ◽  
Uncertainty And Disturbance Estimator ◽  
Derivatives Of ◽  
Siso Systems ◽  
Disturbance Estimator

This paper proposes a robust control strategy for uncertain LTI systems. The strategy is based on an uncertainty and disturbance estimator (UDE). It brings similar performance as the time-delay control (TDC). The advantages over TDC are: (i) no delay is introduced into the system; (ii) there are no oscillations in the control signal; and (iii) there is no need of measuring the derivatives of the state vector. The robust stability of LTI-SISO systems is analyzed, and simulations are given to show the effectiveness of the UDE-based control with a comparison made with TDC.

scholarly journals Uncertainty and Disturbance Estimator Based Controller Equipped With a Multiple-Time-Delayed Filter to Improve the Voltage Quality of Inverters

2019 ◽  
Vol 66 (11) ◽  
pp. 8947-8957 ◽  
Author(s):  
Shlomo Y. Gadelovits ◽  
Dauren Insepov ◽  
Visakan Kadirkamanathan ◽  
Qing-Chang Zhong ◽  
Alon Kuperman
Keyword(s):  
Multiple Time ◽  
Voltage Quality ◽  
Uncertainty And Disturbance Estimator ◽  
Disturbance Estimator

EWSE and Uncertainty and Disturbance Estimator Based Pitch Angle Control for Wind Turbine Systems Operating in Above-Rated Wind Speed Region

2019 ◽  
Vol 142 (3) ◽  
Author(s):  
Xuguo Jiao ◽  
Qinmin Yang ◽  
Bo Fan ◽  
Qi Chen ◽  
Yong Sun ◽  
...  
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Pitch Angle ◽  
Support Vector ◽  
Control Scheme ◽  
High System ◽  
Uncertainty And Disturbance Estimator ◽  
Systematic Solution ◽  
The Stability ◽  
Disturbance Estimator

Abstract As wind energy becomes a larger part of the world's energy portfolio, the control of wind turbines is still confronted with challenges including wind speed randomness and high system uncertainties. In this study, a novel pitch angle controller based on effective wind speed estimation (EWSE) and uncertainty and disturbance estimator (UDE) is proposed for wind turbine systems (WTS) operating in above-rated wind speed region. The controller task is to maintain the WTS's generator power and rotor speed at their prescribed references, without measuring the wind speed information and accurate system model. This attempt also aims to bring a systematic solution to deal with different system characteristics over wide working range, including extreme and dynamic environmental conditions. First, support vector machine (SVR) based EWSE model is developed to estimate the effective wind speed in an online manner. Second, by integrating an UDE and EWSE model into the controller, highly turbulent and unpredictable dynamics introduced by wind speed and internal uncertainties is compensated. Rigid theoretical analysis guarantees the stability of the overall system. Finally, the performance of the novel pitch control scheme is testified via the professional Garrad Hassan (GH) bladed simulation platform with various working scenarios. The results reveal that the proposed approach achieves better performance in contrast to traditional L1 adaptive and proportional-integral (PI) pitch angle controllers.

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