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
2007 ◽  
Vol 36 (10) ◽  
pp. 1303-1328 ◽  
Author(s):  
Chin-Hsiung Loh ◽  
Jerome P. Lynch ◽  
Kung-Chun Lu ◽  
Yang Wang ◽  
Chia-Ming Chang ◽  
...  

2013 ◽  
Vol 462-463 ◽  
pp. 126-132
Author(s):  
Shi Juan Li ◽  
Ye Ping Zhu

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.


TAPPI Journal ◽  
2009 ◽  
Vol 8 (1) ◽  
pp. 4-11
Author(s):  
MOHAMED CHBEL ◽  
LUC LAPERRIÈRE

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.


2015 ◽  
Vol 19 (95) ◽  
pp. 50-53
Author(s):  
Aleksej A. Kravcov ◽  
◽  
Leonid G. Limonov ◽  
Valerij V. Sinelnikov ◽  
Stanislav V. Potapov

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