Reliable Control Applications with Wireless Communication Technologies: Application to Robotic Systems

被引:6
作者
Calvo, Isidro [1 ]
Villar, Eneko [1 ]
Napole, Cristian [1 ]
Fernandez, Aitor [1 ]
Barambones, Oscar [1 ]
Gil-Garcia, Jose Miguel [2 ]
机构
[1] Basque Country Univ UPV EHU, Fac Engn Vitoria Gasteiz, Syst Engn & Automat Deparment, Vitoria 01006, Spain
[2] Basque Country Univ UPV EHU, Fac Engn Vitoria Gasteiz, Dept Elect Technol, Vitoria 01006, Spain
关键词
industrial internet of things (IIoT); wireless control systems; industry; 4.0; XBee; LabVIEW; fuzzy control; reliable control systems; robotics; gain scheduling fuzzy PID controller; NETWORKED CONTROL-SYSTEMS; INDUSTRIAL INTERNET; DESIGN; THINGS; FUTURE; INTEGRATION; DEPLOYMENT; SUBJECT; ZIGBEE; 5G;
D O I
10.3390/s21217107
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The nature of wireless propagation may reduce the QoS of the applications, such that some packages can be delayed or lost. For this reason, the design of wireless control applications must be faced in a holistic way to avoid degrading the performance of the control algorithms. This paper is aimed at improving the reliability of wireless control applications in the event of communication degradation or temporary loss at the wireless links. Two controller levels are used: sophisticated algorithms providing better performance are executed in a central node, whereas local independent controllers, implemented as back-up controllers, are executed next to the process in case of QoS degradation. This work presents a reliable strategy for switching between central and local controllers avoiding that plants may become uncontrolled. For validation purposes, the presented approach was used to control a planar robot. A Fuzzy Logic control algorithm was implemented as a main controller at a high performance computing platform. A back-up controller was implemented on an edge device. This approach avoids the robot becoming uncontrolled in case of communication failure. Although a planar robot was chosen in this work, the presented approach may be extended to other processes. XBee 900 MHz communication technology was selected for control tasks, leaving the 2.4 GHz band for integration with cloud services. Several experiments are presented to analyze the behavior of the control application under different circumstances. The results proved that our approach allows the use of wireless communications, even in critical control applications.
引用
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页数:28
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