1820 Modeling and Control of Active Isolation system taking the vibration modes of Elastic Load into Account by using the Reduced order physical model

2012 ◽  
Vol 2012.18 (0) ◽  
pp. 543-544
Author(s):  
Kazuya SHIOBARA ◽  
Hidemitsu OTA ◽  
Keisuke SUDO ◽  
Toru WATANABE ◽  
Kazuto SETO
Keyword(s):  
Physical Model ◽  
Vibration Modes ◽  
Isolation System ◽  
Modeling And Control ◽  
Reduced Order ◽  
Elastic Load ◽  
Active Isolation ◽  
And Control

Modeling and Control of Active Vibration Isolation System Taking the Dynamics of Elastic Load Into Account by Using the Reduced Order Physical Model

2011 ◽  
Author(s):  
Keisuke Sudo ◽  
Toru Watanabe ◽  
Kazuto Seto
Keyword(s):  
Vibration Isolation ◽  
Isolation System ◽  
Vibration Isolation System ◽  
Modeling And Control ◽  
Reduced Order ◽  
Elastic Load ◽  
Active Isolation ◽  
Lq Optimal Control ◽  
Active Vibration ◽  
And Control

This paper deals with the control system design for active isolation table[1][2][3]. It aims at controlling vibration of the installed object and isolation table. An experimental isolation table with flexible loaded object is built. Control simulations are carried out by using feedback controller designed according to LQ optimal control theory.

Decentralized Control of a Tower Crane

1999 ◽  
Author(s):  
Kiyoshi Takagi ◽  
Hidekazu Nishimura
Keyword(s):  
Decentralized Control ◽  
Three Dimensional ◽  
Reduced Order Model ◽  
Flexible Structure ◽  
Order Model ◽  
Modeling And Control ◽  
Reduced Order ◽  
Tower Crane ◽  
Three Dimensional Models ◽  
And Control

Abstract This paper deals with modeling and control of a crane mounted on a tower-like flexible structure. A fast transfer of the load causes the sway of the load rope and the vibration of the flexible structure. Our object is to control both the sway and the vibration by the inherent capability of the tower crane. This paper makes its three-dimensional models for simulation and reduced-order-model in order to design the decentralized control system. Then, we design the decentralized H∞ compensator and verify the efficiency by simulations and experiments.

scholarly journals Model Reduction Methods for Complex Network Systems

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
X. Cheng ◽  
J.M.A. Scherpen
Keyword(s):  
Autonomous Systems ◽  
High Dimensional ◽  
Annual Review ◽  
Publication Date ◽  
Network Systems ◽  
Modeling And Control ◽  
Reduced Order ◽  
Reduction Methods ◽  
The Stability ◽  
And Control

Network systems consist of subsystems and their interconnections and provide a powerful framework for the analysis, modeling, and control of complex systems. However, subsystems may have high-dimensional dynamics and a large number of complex interconnections, and it is therefore relevant to study reduction methods for network systems. Here, we provide an overview of reduction methods for both the topological (interconnection) structure of a network and the dynamics of the nodes while preserving structural properties of the network. We first review topological complexity reduction methods based on graph clustering and aggregation, producing a reduced-order network model. Next, we consider reduction of the nodal dynamics using extensions of classical methods while preserving the stability and synchronization properties. Finally, we present a structure-preserving generalized balancing method for simultaneously simplifying the topological structure and the order of the nodal dynamics. Expected final online publication date for the Annual Review of Control, Robotics, and Autonomous Systems, Volume 4 is May 3, 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

scholarly journals Reduced Order Modeling and Control of Thin Film Growth in an HPCVD Reactor

2002 ◽  
Vol 62 (4) ◽  
pp. 1251-1280 ◽  
Author(s):  
G. M. Kepler ◽  
H. T. Banks ◽  
H. T. Tran ◽  
S. C. Beeler
Keyword(s):  
Thin Film ◽  
Film Growth ◽  
Reduced Order Modeling ◽  
Thin Film Growth ◽  
Modeling And Control ◽  
Reduced Order ◽  
And Control

Modeling and Control of Magnetorheological Dampers for Vibration Isolation

2003 ◽  
Author(s):  
A. Narimani ◽  
M. F. Golnaraghi
Keyword(s):  
Vibration Isolation ◽  
Mr Damper ◽  
Damping Force ◽  
Isolation System ◽  
Modeling And Control ◽  
Quarter Car Model ◽  
Car Model ◽  
Quarter Car ◽  
Set Up ◽  
And Control

Semi-active isolators offer significant improvement in performance over passive isolators. These systems benefit from the advantages of active systems with the reliability of the passive systems. In this work we study a vibration isolation system with a magnetorheological (MR) damper. The experimental investigation of the mechanical properties of a commercially available linear MR damper (RD-1005-3) was conducted next. The mathematical Bouc-Wen model was adopted to predict the performance of MR damper. In addition, a modified Bingham model has been developed to characterize the damper behavior more accurately and efficiently. The measured hysteresis characteristics of field-dependent damping forces are compared with the simulation results from the described mathematical models. The accuracy of a damping-force controller using the proposed method is also demonstrated experimentally. Finally, a scaled quarter car model is set up to study the performance of the control strategy. The experimental results show that with the semi-active control the vibration of the quarter car model is well controlled.

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