scholarly journals Experimental verification of a wireless sensing and control system for structural control using MR dampers

2007 ◽  
Vol 36 (10) ◽  
pp. 1303-1328 ◽  
Author(s):  
Chin-Hsiung Loh ◽  
Jerome P. Lynch ◽  
Kung-Chun Lu ◽  
Yang Wang ◽  
Chia-Ming Chang ◽  
...  
Keyword(s):  
Control System ◽  
Experimental Verification ◽  
Structural Control ◽  
Wireless Sensing ◽  
Mr Dampers ◽  
And Control

Application of wireless sensing and control system to control a torsion-coupling building with MR-dampers

2007 ◽  
Author(s):  
Sung-Chieh Hsu ◽  
Kung-Chun Lu ◽  
Pei-Yang Lin ◽  
Chin-Hsiung Loh ◽  
Jerome P. Lynch
Keyword(s):  
Control System ◽  
Wireless Sensing ◽  
Mr Dampers ◽  
And Control

Radar-based impact load prediction for damage mitigation of infrastructure

2015 ◽  
Vol 23 (12) ◽  
pp. 1908-1924 ◽  
Author(s):  
Jake Edmond Hughes ◽  
Yeesock Kim ◽  
Tahar El-Korchi ◽  
David Cyganski
Keyword(s):  
Control System ◽  
Structural Control ◽  
Impact Load ◽  
Impact Loads ◽  
Control Technology ◽  
Velocity Measurements ◽  
Engineering Structures ◽  
Mr Dampers ◽  
Controller Performance ◽  
Smart Control

The application of smart control technology to both aging and new infrastructure is essential to extending service life, increasing life safety, and decreasing repair and replacement costs. One area of control technology research for civil engineering structures that has received little attention historically is that of high-impact loads, such as collision events. The dissipation of impact energy using smart control devices, such as magnetorheological (MR) dampers, leads to less plastic deformation and damage, and a lower likelihood of collapse in civil engineering structures. Due to the short duration and high variability in magnitude of potential impact loads, the issue of sub-optimal controller performance arises. In order to boost controller performance and improve the effectiveness of the control system, a radar-based impact load identifier is proposed. This radar-based impact load identifier will be used to estimate impact loads from imminent impacting objects, for example vessels and trucks, thus providing input information to the control system before the impact actually occurs. This paper presents the characterization and validation, through laboratory tests, of one part of the radar-based impact load identifier, the range and velocity estimation of the incoming moving objects. The range and velocity information are then used to direct structural control based on laboratory impact tests. An ultrawideband monostatic pulsed radar is used for range and velocity measurements of a laboratory-scale impacting vehicle. The range and velocity measurements obtained from the radar scans are verified using physical measurements and control testing. The tests showed great accuracy for both range and velocity with less than 3% error for each measurement and demonstrated structural control based on these measurements. It is shown from control system testing that the proposed approach is effective in reducing the structural impact responses by 11–30%, depending on the performance index, for pre-impact structural stiffening with passive control of MR dampers.

scholarly journals Modeling of Magnetorheological Dampers under Various Impact Loads

2015 ◽  
Vol 2015 ◽  
pp. 1-20 ◽  
Author(s):  
K. Sarp Arsava ◽  
Yeesock Kim
Keyword(s):  
Structural Control ◽  
Experimental Studies ◽  
Mr Damper ◽  
Impact Behavior ◽  
Impact Loads ◽  
Mr Dampers ◽  
Fuzzy Models ◽  
Control Signals ◽  
And Control ◽  
The Impact

Magnetorheological (MR) damper has received great attention from structural control engineering because it provides the best features of both passive and active control systems. However, many studies on the application of MR dampers to large civil structures have tended to center on the modeling of MR dampers under seismic excitations, while, to date, there has been minimal research regarding the MR damper model under impact loads. Hence, this paper investigates nonlinear models of MR dampers under a variety of impact loads and control signals. Two fuzzy models are proposed for modeling the nonlinear impact behavior of MR dampers. They are compared with mechanical models, the Bingham and Bouc-Wen models. Experimental studies are performed to generate sets of input and output data for training, validating, and testing the models: the deflection, acceleration, velocity, and current signals. It is demonstrated that the proposed fuzzy models are effective in predicting the complex nonlinear behavior of the MR damper subjected to a variety of impact loads and control signals. The proposed fuzzy model resulted in an accuracy of 99% to predict the impact forces of the MR damper.

Design of Maize Production and Management Monitoring and Control System Based on Wireless Sensing Data

2013 ◽  
Vol 462-463 ◽  
pp. 126-132
Author(s):  
Shi Juan Li ◽  
Ye Ping Zhu
Keyword(s):  
Control System ◽  
Agricultural Production ◽  
Optimization Method ◽  
Wireless Sensing ◽  
Monitoring And Control ◽  
Monitoring And Control System ◽  
Maize Production ◽  
Technological Support ◽  
Sensing Data ◽  
And Control

The low water and nitrogen utilization rates and environmental pollution as a result of the excessive irrigation and fertilization had been paid more and more attention. Adopting the simulation model based on physiological processes to study the optimization method and control technology of agricultural production and management is important to water-saving, rational fertilization and healthy environment. The maize (Zea mays L) is taken as material to explore the integration method of crop simulation with wireless sensing data. First the time scale and temporal scale of wireless sensing data will be unified with simulation step of crop model when the parameters are used as model inputs. Then the relationship between nitrogen balance and soil moisture will be analyze to construct maize production and management monitoring and control system based on wireless sensing data. The system can not only simulate the real-time and dynamic maize growth and development, but also provide the irrigation and fertilization schedule to distribute the annual natural resources depend on the users production goal. The expected forecast results will offer theoretical basis and technological support for intelligent control, water and fertilizer utilization, and management of agricultural production departments.

Experimental Testbed for Testing a Robotics Based Identification Method

2008 ◽  
Author(s):  
Jeremy J. Bruggemann ◽  
James R. Cole ◽  
Jacob Gilbert ◽  
Gwynne Skaggs-Ryan ◽  
Micah Kecman ◽  
...  
Keyword(s):  
Control System ◽  
Experimental Verification ◽  
Simulated Microgravity ◽  
Service Operations ◽  
Robotic Arm ◽  
Navigation And Control ◽  
Series Of Experiments ◽  
Experimental Testbed ◽  
Velocity Changes ◽  
And Control

As satellite on-orbit service operations become increasingly aggressive and complex (such as on-orbit refueling, rescuing, repairing, etc.), the need for identifying varied inertial properties of a satellite is becoming a critical task. The importance of this task stems from the dependence of spacecraft’s guidance, navigation and control system on these properties. In order to accurately control a spacecraft, its control system must be capable of fully identifying these properties as they change. Previous techniques use thruster firing or momentum wheels to accomplish this task. However a newly developed robotics based method requires measuring the spacecraft’s velocity changes only, which can be induced by an onboard robotic arm powered by solar energy. This paper gives a brief overview of this method and then focuses on the design of experimental verification of the method. The verification consists of a series of experiments including a simulated microgravity test onboard the NASA JSC Reduced Gravity aircraft in order to accurately simulate an environment similar to a flying satellite in orbit.

Development of a Jacobian Module for Advanced Pulp and Paper Simulation and Control

TAPPI Journal ◽  
2009 ◽  
Vol 8 (1) ◽  
pp. 4-11
Author(s):  
MOHAMED CHBEL ◽  
LUC LAPERRIÈRE
Keyword(s):  
Control System ◽  
Nonlinear Behavior ◽  
Simulation Software ◽  
Pulp And Paper ◽  
Pid Controllers ◽  
Tuning Parameters ◽  
Pid Tuning ◽  
Fixed Set ◽  
And Control ◽  
Operating Points

Pulp and paper processes frequently present nonlinear behavior, which means that process dynam-ics change with the operating points. These nonlinearities can challenge process control. PID controllers are the most popular controllers because they are simple and robust. However, a fixed set of PID tuning parameters is gen-erally not sufficient to optimize control of the process. Problems related to nonlinearities such as sluggish or oscilla-tory response can arise in different operating regions. Gain scheduling is a potential solution. In processes with mul-tiple control objectives, the control strategy must further evaluate loop interactions to decide on the pairing of manipulated and controlled variables that minimize the effect of such interactions and hence, optimize controller’s performance and stability. Using the CADSIM Plus™ commercial simulation software, we developed a Jacobian sim-ulation module that enables automatic bumps on the manipulated variables to calculate process gains at different operating points. These gains can be used in controller tuning. The module also enables the control system designer to evaluate loop interactions in a multivariable control system by calculating the Relative Gain Array (RGA) matrix, of which the Jacobian is an essential part.

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