Tracking control of an electro-hydraulic shaking table system using a combined feedforward inverse model and adaptive inverse control for real-time testing

2011 ◽  
Vol 225 (5) ◽  
pp. 647-666 ◽  
Author(s):  
G Shen ◽  
S T Zheng ◽  
Z M Ye ◽  
Z D Yang ◽  
Y Zhao ◽  
...  
Keyword(s):  
Real Time ◽  
Tracking Control ◽  
Inverse Model ◽  
Shaking Table ◽  
Adaptive Inverse Control ◽  
Inverse Control

Adaline neural network-based adaptive inverse control for an electro-hydraulic servo system

2011 ◽  
Vol 17 (13) ◽  
pp. 2007-2014 ◽  
Author(s):  
Jianjun Yao ◽  
Xiancheng Wang ◽  
Shenghai Hu ◽  
Wei Fu
Keyword(s):  
Neural Network ◽  
Real Time ◽  
Servo System ◽  
Inverse Model ◽  
Lms Algorithm ◽  
Adaptive Inverse Control ◽  
Inverse Control ◽  
The Neural Network ◽  
Hydraulic Servo ◽  
Hydraulic Servo System

Based on adaptive inverse control theory, combined with neural network, neural network adaptive inverse controller is developed and applied to an electro-hydraulic servo system. The system inverse model identifier is constructed by neural network. The task is accomplished by generating a tracking error between the input command signal and the system response. The weights of the neural network are updated by the error signal in such a way that the error is minimized in the sense of mean square using (LMS) algorithm and the neural network is close to the system inverse model. The above steps make the gain of the serial connection system close to unity, realizing waveform replication function in real-time. To enhance its convergence and robustness, the normalized LMS algorithm is applied. Simulation in which nonlinear dead-zone is considered and experimental results demonstrate that the proposed control scheme is capable of tracking desired signals with high accuracy and it has good real-time performance.

Adaptive inverse control of time waveform replication for electrohydraulic shaking table

2010 ◽  
Vol 17 (11) ◽  
pp. 1611-1633 ◽  
Author(s):  
Gang Shen ◽  
Shu-Tao Zheng ◽  
Zheng-Mao Ye ◽  
Qi-Tao Huang ◽  
Da-Cheng Cong ◽  
...  
Keyword(s):  
Shaking Table ◽  
Adaptive Inverse Control ◽  
Inverse Control ◽  
Time Waveform

Combined control strategy using internal model control and adaptive inverse control for electro-hydraulic shaking table

2012 ◽  
Vol 227 (10) ◽  
pp. 2348-2360 ◽  
Author(s):  
Gang Shen ◽  
Zhencai Zhu ◽  
Yu Tang ◽  
Lei Zhang ◽  
Guangda Liu ◽  
...  
Keyword(s):  
Transfer Function ◽  
Control Strategy ◽  
Internal Model ◽  
Internal Model Control ◽  
Shaking Table ◽  
Tracking Accuracy ◽  
Adaptive Inverse Control ◽  
Inverse Control ◽  
Model Control ◽  
Combined Control

An electro-hydraulic shaking table is a useful experimental apparatus to real-time replicate the desired acceleration signal for evaluating the performance of the tested structural systems. The article proposes a combined control strategy to improve the tracking accuracy of the electro-hydraulic shaking table. First, the combined control strategy utilizes an adaptive inverse control as a feedforward controller for extending the acceleration frequency bandwidth of the electro-hydraulic shaking table when the estimated plant model may be a nonminimum phase system and its inverse model is an unstable system. The adaptive inverse control feedforward compensator guarantees the stability of the estimated inverse transfer function. Then, the combined control strategy employs an improved internal model control for obtaining high fidelity tracking accuracy after the modeling error between the estimated inverse transfer function using adaptive inverse control and the electro-hydraulic shaking table actual inverse system is improved by the improved internal model control. So, the proposed control strategy combines the merits of adaptive inverse control feedforward compensator and improved internal model control. The combined strategy is programmed in MATLAB/Simulink, and then is compiled to a real-time PC system with xPC target technology for implementation. The experimental results demonstrate that a better tracking performance with the proposed combined control strategy is achieved in an electro-hydraulic shaking table than with a conventional controller.

Feed-forward inverse control for transient waveform replication on electro-hydraulic shaking table

2011 ◽  
Vol 18 (10) ◽  
pp. 1474-1493 ◽  
Author(s):  
Gang Shen ◽  
Guang-ming LV ◽  
Zheng-mao Ye ◽  
Da-cheng Cong ◽  
Jun-wei Han
Keyword(s):  
Transfer Function ◽  
Real Time ◽  
Control Strategy ◽  
Internal Model Control ◽  
Shaking Table ◽  
Tracking Accuracy ◽  
Feed Forward ◽  
Inverse Control ◽  
Model Control ◽  
Combined Control

In this paper, an improved feed-forward inverse control scheme is proposed for transient waveform replication (TWR) on an electro-hydraulic shaking table (EHST). TWR is to determine whether a test article can remain operational and retain its structural integrity when subjected to a specific shock and vibration environment. Feed-forward inverse transfer function compensation is a useful technique to improve the tracking accuracy of the TWR on the EHST system due to their inherent hydraulic dynamics. Whenever a feed-forward inverse transfer function is employed, it is critical to design the identification accuracy of the inverse transfer function. A combined control strategy, which combines a feed-forward inverse transfer function compensation approach with a simple internal model control (IMC) and a real-time feedback controller, is proposed to minimize the effect of the system uncertainty and modeling error, and further to improve the tracking accuracy of the TWR. Thus, the proposed control strategy combines the merits of feed-forward inverse transfer function compensation and IMC. The procedure of the proposed control strategy is programmed in MATLAB/Simulink, and then is compiled to a real-time PC with Microsoft Visual Studio.NET for implementation. Simulation and experimental results demonstrated the viability of the proposed combined control strategy.

A new Technique for Position Control of Induction Motor Using Adaptive Inverse Control

2010 ◽  
Vol 6 (2) ◽  
pp. 116-122
Author(s):  
Aamir Hashim Obeid Ahmed ◽  
Martino O. Ajangnay ◽  
Shamboul A. Mohamed ◽  
Matthew W. Dunnigan
Keyword(s):  
Induction Motor ◽  
Position Control ◽  
New Technique ◽  
Adaptive Inverse Control ◽  
Inverse Control ◽  
A New Technique

scholarly journals A New Solution to Adaptive Inverse Control

1991 ◽  
Vol 24 (1) ◽  
pp. 35-40
Author(s):  
A. Farhang-Boroujeny ◽  
K. Ayatollahi
Keyword(s):  
Adaptive Inverse Control ◽  
Inverse Control
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