scholarly journals Calibration of DSF model for real-time control

2021 ◽  
Vol 2069 (1) ◽  
pp. 012027
Author(s):  
G. Gennaro ◽  
F. Favoino ◽  
F. Goia ◽  
G. De Michele ◽  
M. Perino

Abstract Double Skin Façades are complex fenestration systems capable to control solar heat gain and ventilation in buildings. Due to the high flexibility of such innovative components, having energy models able to replicate the thermal behaviour of the Double Skin Facades is of utmost importance for their optimal control and integration with building automation strategies. In this context, a numerical model has been developed and validate within the experimental data. The methodological steps are presented in this work and in the last section, the potential applications of the model are discussed.

Author(s):  
Ali Ghareaghaji

<p>In this paper the Controller Area Network (CAN) Controller is presented. CAN is an advance serial bus communication protocol that efficiently supports distributed, broadcast real-time control and fault tolerance features for automobile industries to provide congestion free networking. The CAN Controller is designed for scheduling of messages, consist of the Transmitter Controller, FIFO buffer, CRC generator and bit stuffer. Scheduling messages on CAN corresponds to assigning identifiers (IDs) to message according to their priorities. Non Return to Zero (NRZ) coding and Non Destructive Bitwise Arbitration (NDBA) is used. The data is taken from the buffer FIFO, bit stuffed and then transmitted after CRC is performed. The whole design is captured entirely in VHDL language using bottom up design and verification methodology. The proposed controller was designed for applications needing high level data integrity and data rates upto 1Mbps. The applications of CAN are factory automation, machine control, automobile, avionics and aerospace, building automation.</p>


Author(s):  
G. Ray Ely ◽  
Carolyn Conner Seepersad

Metamodeling is investigated as a tool for predictive process control of welding applications. The motivation for predictive process control is to incorporate physics-based models in place of empirical models that are statistically derived from repeated physical tests. Predictive process control promises to be particularly useful for high flexibility applications, such as frequent modifications of material or geometry. One of the primary challenges is that accurate physics-based, thermal models of the welding process usually require computationally expensive software such as FLUENT [1], while faster models, such as the analytical models of Rosenthal [2], are typically less accurate. Metamodeling or surrogate modeling is investigated as an alternative modeling technique for combining the accuracy of the detailed models with the speed of the faster models, thereby enabling real-time control of the welding process. Four of the most promising metamodeling techniques—polynomial regression, multivariate adaptive regression splines, kriging, and support vector regression—are selected based on a set of preliminary criteria. Each technique is used to build surrogate models of a representative welding process, based on FLUENT data obtained with statistically designed experiments. The techniques are compared with respect to accuracy, speed of model construction, and speed of prediction. Implications for predictive process control of a welding process are also discussed.


2017 ◽  
Vol 11 (1) ◽  
pp. 154-164
Author(s):  
Ying Zhao ◽  
Yongxiang Sui ◽  
Jinsen Hou ◽  
Qun Sun ◽  
Chong Wang

Background: The vehicle chassis inspection robot introduced in this paper is capable of realizing automatic tracking, obstacle avoidance, and video image acquisition. The robot can be connected to a computer, mobile phone or other terminals through a WiFi network built within the robot, so as to achieve real time control of the robot motion, and to display videos or images collected by the robot on the computer screen. The system is simple and easy to operate, with high stability, high flexibility, precise directional control, and can satisfy the requirements in harsh environment. Methods and Materials: This design adopts a STC11F32XE microcontroller as the core, uses an ultrasonic sensor to detect the road objects and calculate the distance to the objects, anticipates and avoids obstacle during processing. The camera performs image acquisition and returns the picture to help easy detection of automotive chassis and manual robot control. The robot uses an infrared sensor to realize automatic obstacle avoidance, and it controls the travel speed as well as automatic stop by changing the PWM duty cycle. Conclusion: Through this research, an intelligent vehicle parking inspection system has been developed.


1995 ◽  
Vol 34 (05) ◽  
pp. 475-488
Author(s):  
B. Seroussi ◽  
J. F. Boisvieux ◽  
V. Morice

Abstract:The monitoring and treatment of patients in a care unit is a complex task in which even the most experienced clinicians can make errors. A hemato-oncology department in which patients undergo chemotherapy asked for a computerized system able to provide intelligent and continuous support in this task. One issue in building such a system is the definition of a control architecture able to manage, in real time, a treatment plan containing prescriptions and protocols in which temporal constraints are expressed in various ways, that is, which supervises the treatment, including controlling the timely execution of prescriptions and suggesting modifications to the plan according to the patient’s evolving condition. The system to solve these issues, called SEPIA, has to manage the dynamic, processes involved in patient care. Its role is to generate, in real time, commands for the patient’s care (execution of tests, administration of drugs) from a plan, and to monitor the patient’s state so that it may propose actions updating the plan. The necessity of an explicit time representation is shown. We propose using a linear time structure towards the past, with precise and absolute dates, open towards the future, and with imprecise and relative dates. Temporal relative scales are introduced to facilitate knowledge representation and access.


2007 ◽  
Vol 73 (12) ◽  
pp. 1369-1374
Author(s):  
Hiromi SATO ◽  
Yuichiro MORIKUNI ◽  
Kiyotaka KATO

2020 ◽  
Vol 38 (3A) ◽  
pp. 402-411
Author(s):  
Mohannad R. Ghanim ◽  
Sabah T. Ahmed

Double skin ventilated roof is one of the important passive cooling techniques to reduce solar heat gain through roofs. In this research, an experimental study was performed to investigate the thermal behaviour of a double skin roof model. The model was made of two parallel galvanized steel plates. Galvanized steel has been used in the roof construction of industrial buildings and storehouses in Iraq. The effect of inclination angle (ϴ) from the horizontal and the spacing (S) between the plates was investigated at different radiation intensities. It is found that using a double skin roof arrangement with a sufficient air gap (S) can reduce the heat gain significantly. The higher the inclination angle (ϴ) the higher the ventilation rate, the lower the heat gain through the roof. In this study, increasing the air gap from 2 cm to 4 cm reduced the heat gain significantly but when the gap was further increased to 6 cm, the reduction in the heat flux was insignificant. A dimensionless correlation was also reduced between Nusselt number () and the single parameter  where L is the channel length. This correlation can be handily utilized for designing of engineering applications dealing with high temperature difference natural convection heat transfer.


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