Optimal placement, sizing and control of distributed series reactor to improve system reliability

Author(s):  
Mariano Anello ◽  
Alberto Del Rosso
Energies ◽  
2019 ◽  
Vol 12 (11) ◽  
pp. 2053 ◽  
Author(s):  
Tullio de Rubeis ◽  
Mirco Muttillo ◽  
Iole Nardi ◽  
Leonardo Pantoli ◽  
Vincenzo Stornelli ◽  
...  

In this paper, a novel integrated measuring and control system for hot box experiments is presented. The system, based on a general-purpose microcontroller and on a wireless sensors network, is able to fully control the thermal phenomena inside the chambers, as well as the heat flux that involves the specimen wall. Thanks to the continuous measurements of air and surfaces temperatures and energy input into the hot chamber, the thermal behavior of each hot box component is analyzed. A specific algorithm allows the post-process of the measured data for evaluating the specimen wall thermal quantities and for creating 2D and 3D thermal models of each component. The system reliability is tested on a real case represented by a double insulating X-lam wall. The results of the 72 h experiment show the system’s capability to maintain stable temperature set points inside the chambers and to log the temperatures measured by the 135 probes, allowing to know both the U-value of the sample (equal to 0.216 ± 0.01 W/m2K) and the thermal models of all the hot box components. The U-value obtained via hot box method has been compared with the values gathered through theoretical calculation and heat flow meter measurements, showing differences of less than 20%. Finally, thanks to the data postprocessing, the 2D and 3D thermal models of the specimen wall and of the chambers have been recreated.


2016 ◽  
Vol 2016 ◽  
pp. 1-17 ◽  
Author(s):  
Satyam Paul ◽  
Wen Yu ◽  
Xiaoou Li

This paper provides an overview of building structure modeling and control under bidirectional seismic waves. It focuses on different types of bidirectional control devices, control strategies, and bidirectional sensors used in structural control systems. This paper also highlights the various issues like system identification techniques, the time-delay in the system, estimation of velocity and position from acceleration signals, and optimal placement of the sensors and control devices. The importance of control devices and its applications to minimize bidirectional vibrations has been illustrated. Finally, the applications of structural control systems in real buildings and their performance have been reviewed.


Machines ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 55
Author(s):  
Michiel Haemers ◽  
Clara-Mihaela Ionescu ◽  
Kurt Stockman ◽  
Stijn Derammelaere

For complex systems, it is not easy to obtain optimal designs for the hardware architecture and control configurations. Every design aspect influences the final performance, and often the interactions of the different components cannot be clearly determined in advance. In this work, a novel co-design optimization method was applied that allows the optimal placement and selection of actuators and sensors to be performed simultaneously with the determination of the control architecture and associated controller tuning parameters. This novel co-design method was applied to a state-space model of a downscaled active car suspension laboratory setup. This setup mimics a car driving over a specific road surface while active components in the suspension have to increase the driver’s comfort by counteracting unwanted vibrations. The result of this co-design optimization methodology is a Pareto front that graphically represents the trade-off between the maximum performance and the total implementation cost; the co-design results were validated with measurements of the physical active car suspension setup. The obtained controller tuning parameters are compared herein with existing controller tuning methods to demonstrate that the co-design method is able to determine optimal controller tuning parameters.


2012 ◽  
Vol 532-533 ◽  
pp. 813-817 ◽  
Author(s):  
Hao Zhou ◽  
Yu Hua Tang ◽  
Jing Fei Jiang

Depending on application requirements, the number of processing nodes in parallel satellite system varies. Currently, fault-tolerant design for satellite system often aims to solve specific problems, lacking in universality. This paper presents a scalable autonomous centralized fault-tolerant (SACFt) architecture. Based on it, functional module framework of each system node and autonomous fault-tolerant strategy are designed. This scheme is insensitive to scale change of the processing nodes. It can ensure autonomous fault tolerance and control node parallelism on demand flexibly at the same time, balancing system reliability, scalability, autonomy, real-time feature and many other factors. The validity and real-time feature of the proposed scheme has been verified and evaluated on the prototype system.


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