A platform for research: civil engineering, architecture and urbanism
Thermal Actuator Identification and Control for Thermomechanical Real-Time Cyber–Physical Testing
Thermomechanical cyber–physical testing enables two-way thermal coupling between a numerical and an experimental subsystem. The interactions between the numerical model and the physical specimen occur through transfer systems, which enforce interface conditions. Thus, efficient control methodologies are necessary to achieve the desired interface interaction through thermal actuators with minimal error. This study introduces a novel thermal transfer system that imposes distributed cooling (or heating) thermal loads on a physical subsystem. First, the thermal actuator is identified considering switching-mode continuous dynamics for heating and cooling conditions. A switching-mode estimation algorithm is adopted to estimate the operating thermal cycle of the actuator in real-time. A control system is developed to experimentally impose the desired temperature and reduce tracking error (i.e., the error between the desired and actual temperature) under different thermal cycles. The identification and control of the thermal transfer system are then validated through a set of experiments considering different temperature rates of change. The developed control system is found to effectively minimize tracking errors in real-time cyber–physical experiments.
Thermal Actuator Identification and Control for Thermomechanical Real-Time Cyber–Physical Testing
Thermomechanical cyber–physical testing enables two-way thermal coupling between a numerical and an experimental subsystem. The interactions between the numerical model and the physical specimen occur through transfer systems, which enforce interface conditions. Thus, efficient control methodologies are necessary to achieve the desired interface interaction through thermal actuators with minimal error. This study introduces a novel thermal transfer system that imposes distributed cooling (or heating) thermal loads on a physical subsystem. First, the thermal actuator is identified considering switching-mode continuous dynamics for heating and cooling conditions. A switching-mode estimation algorithm is adopted to estimate the operating thermal cycle of the actuator in real-time. A control system is developed to experimentally impose the desired temperature and reduce tracking error (i.e., the error between the desired and actual temperature) under different thermal cycles. The identification and control of the thermal transfer system are then validated through a set of experiments considering different temperature rates of change. The developed control system is found to effectively minimize tracking errors in real-time cyber–physical experiments.
Thermal Actuator Identification and Control for Thermomechanical Real-Time Cyber–Physical Testing
J. Eng. Mech.
Montoya, Herta (author) / Salmeron, Manuel (author) / Silva, Christian E. (author) / Dyke, Shirley J. (author)
2024-09-01
Article (Journal)
Electronic Resource
English
Real-Time Control of Urban Water Cycle under Cyber-Physical Systems Framework
DOAJ | 2020
|MegaSense: Cyber-Physical System for Real-time Urban Air Quality Monitoring
BASE | 2020
|Analysis of actuator delay compensation methods for real-time testing
Online Contents | 2009
|Analysis of actuator delay compensation methods for real-time testing
Online Contents | 2009
|