Frequency domain synthesis of optimal inputs for online identification and adaptive control

1991 ◽  
Vol 36 (3) ◽  
pp. 353-358 ◽  
Author(s):  
L.-C. Fu ◽  
S. Sastry
Keyword(s):  
Adaptive Control ◽  
Frequency Domain ◽  
Online Identification ◽  
Optimal Inputs

Online parameter estimation and adaptive control with limited information in structures

2021 ◽  
pp. 107754632110191
Author(s):  
Fereidoun Amini ◽  
Elham Aghabarari
Keyword(s):  
Parameter Estimation ◽  
Adaptive Control ◽  
Least Squares ◽  
Control Algorithm ◽  
Least Squares Method ◽  
Recursive Least Squares ◽  
Limited Information ◽  
Online Identification ◽  
Recursive Least Squares Method ◽  
Adaptive Control Algorithm

An online parameter estimation is important along with the adaptive control, that is, a time-dependent plant. This study uses both online identification and the simple adaptive control algorithm with velocity feedback. The recursive least squares method was used to identify the stiffness and damping parameters of the structure’s stories. Identification was carried out online without initial estimation and only by measuring the structural responses. The limited information regarding sensor measurements, parameter convergence, and the effects of the covariance matrix is examined. The integration of the applied online identification, the appropriate reference model selection in simple adaptive control, and adopting the proportional integral filter was used to limit the structural control response error. Some numerical examples are simulated to verify the ability of the proposed approach. Despite the limited information, the results show that the simultaneous use of online identification with the recursive least squares method and simple adaptive control algorithm improved the overall structural performance.

scholarly journals Online Identification of a Two-Mass System in Frequency Domain using a Kalman Filter

2016 ◽  
Vol 37 (2) ◽  
pp. 133-147 ◽  
Author(s):  
Niko Nevaranta ◽  
Stijn Derammelaere ◽  
Jukka Parkkinen ◽  
Bram Vervisch ◽  
Tuomo Lindh ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Frequency Domain ◽  
Mass System ◽  
Online Identification

scholarly journals Payload Mass Identification of a Single-Link Flexible Arm Moving under Gravity: An Algebraic Identification Approach

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Juan Carlos Cambera ◽  
Andres San-Millan ◽  
Vicente Feliu-Batlle
Keyword(s):  
Frequency Domain ◽  
Design Methodology ◽  
Vertical Plane ◽  
Sensor Noise ◽  
Online Identification ◽  
Flexible Arm ◽  
Single Link ◽  
Identification Approach ◽  
Payload Mass ◽  
Mass Identification

We deal with the online identification of the payload mass carried by a single-link flexible arm that moves on a vertical plane and therefore is affected by the gravity force. Specifically, we follow a frequency domain design methodology to develop an algebraic identifier. This identifier is capable of achieving robust and efficient mass estimates even in the presence of sensor noise. In order to highlight its performance, the proposed estimator is experimentally tested and compared with other classical methods in several situations that resemble the most typical operation of a manipulator.

scholarly journals Online identification of a robot using batch adaptive control

2003 ◽  
Vol 36 (16) ◽  
pp. 921-926
Author(s):  
Björn Bukkems ◽  
Dragan Kostić ◽  
Bram de Jager ◽  
Maarten Steinbuch
Keyword(s):  
Adaptive Control ◽  
Online Identification

scholarly journals Online Identification of a Mechanical System in the Frequency Domain with Short-Time DFT

2015 ◽  
Vol 36 (3) ◽  
pp. 157-165 ◽  
Author(s):  
Niko Nevaranta ◽  
Jukka Parkkinen ◽  
Tuomo Lindh ◽  
Markku Niemelä ◽  
Olli Pyrhönen ◽  
...  
Keyword(s):  
Mechanical System ◽  
Frequency Domain ◽  
Online Identification ◽  
Short Time
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