Temperature control in a cavity of refrigeration using PI controller and predictive control

2014 ◽  
Author(s):  
Emna Aridhi ◽  
Mehdi Abbes ◽  
Abdelkader Mami
Keyword(s):  
Predictive Control ◽  
Temperature Control ◽  
Pi Controller

Model Predictive Control (MPC) for Building Optimal Temperature Control

2018 ◽  
Author(s):  
Jarrou Abderrahmane ◽  
Domenic Sauter ◽  
Karim Alami ◽  
Chouri Brahim ◽  
Ailane Abdellah
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Temperature Control ◽  
Optimal Temperature

Carbon Fiber Reinforced Rigidizable Space Structures

2005 ◽  
Vol 888 ◽  
Author(s):  
Stephen Andrew Sarles ◽  
Todd Bullions ◽  
Thompson Mefford ◽  
Judy Riffle ◽  
Don Leo
Keyword(s):  
Carbon Fiber ◽  
Temperature Control ◽  
Pi Controller ◽  
Space Structures ◽  
Heating Process ◽  
Thermosetting Resin ◽  
Resistive Heating ◽  
Flexible Space Structures ◽  
Material Stiffness ◽  
Reinforcing Material

ABSTRACTIn attempts to provide an active solution for the rigidization of flexible space structures, internal resistive heating is applied to a novel thermosetting resin. Carbon-fiber tow coated in U-Nyte Set 201A, which cures at ∼150°C, was heated by passing electric current through the reinforcing material. Using a proportional-integral (PI) controller, precise temperature control of the heating process was established. Samples cured via controlled internal resistive heating were heated to 160°C and underwent material consolidation in less than 7 minutes. A change in material stiffness was measured to be almost two orders of magnitude greater than that of an uncured material.

Diurnal greenhouse temperature control with predictive control and online constrains mapping

2010 ◽  
Vol 43 (1) ◽  
pp. 140-145 ◽  
Author(s):  
Carlos Rodríguez ◽  
Jose Luis Guzman ◽  
Francisco Rodríguez ◽  
Manuel Berenguel ◽  
Manuel R. Arahal
Keyword(s):  
Predictive Control ◽  
Temperature Control

Nonlinear parametric predictive control for the temperature control of bench-scale batch reactor

2016 ◽  
Vol 102 ◽  
pp. 134-143 ◽  
Author(s):  
Yiming Song ◽  
Xiaoxiao Wang ◽  
Haipeng Teng ◽  
Yulei Guan
Keyword(s):  
Predictive Control ◽  
Temperature Control ◽  
Batch Reactor ◽  
Bench Scale

DEPTH CONTROL OF AN UNDERWATER REMOTELY OPERATED VEHICLE USING NEURAL NETWORK PREDICTIVE CONTROL

2015 ◽  
Vol 74 (9) ◽  
Author(s):  
Mohd Shahrieel Mohd Aras ◽  
Shahrum Shah Abdullah ◽  
Ahmad Fadzli Nizam Abdul Rahman ◽  
Norhaslinda Hasim ◽  
Fadilah Abdul Azis ◽  
...  
Keyword(s):  
Neural Network ◽  
Predictive Control ◽  
Fuzzy Logic Controller ◽  
Pi Controller ◽  
System Response ◽  
Linear Quadratic ◽  
Remotely Operated Vehicle ◽  
Depth Control ◽  
Linear Quadratic Regulation ◽  
Neural Network Predictive Control

This paper investigates the depth control of an unmanned underwater remotely operated vehicle (ROV) using neural network predictive control (NNPC). The NNPC is applied to control the depth of the ROV to improve the performances of system response in terms of overshoot. To assess the viability of the method, the system was simulated using MATLAB/Simulink by neural network predictive control toolbox. In this paper also investigates the number of data samples (1000, 5000 and 10,000) to train neural network. The simulation reveals that the NNPC has the better performance in terms of its response, but the execution time will be increased. The comparison between other controller such as conventional PI controller, Linear Quadratic Regulation (LQR) and fuzzy logic controller also covered in this paper where the main advantage of NNPC is the fastest system response on depth control. 

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