Building Wireless Control Applications with XBee and LabVIEW

Calvo, Isidro; Barambones, Óscar; Chouza, Ander; Abrahams, Steven; Beckers, Geert; Slechten, Dieter; Velasco, Javier

doi:10.3390/app9112379

Cited by 8 publications

(6 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, the approach of using the transaction clock at the Wireless Controller for sending broadcast messages may be valid for implementing distributed control applications. Finally, the number of loss and wrong packages is low, especially when compared with the use of XBee 2.4 GHz technology [15]. This is partly due to the reduction of the interferences caused by other technologies that operate in the 2.4 GHz band.…”

Section: Discussionmentioning

confidence: 99%

“…In addition, for implementing a MPC algorithm aimed at a multi-drone system [40] or, for controlling an in-wheel motor by means of a network-based discrete proportional integral (PI) algorithm [41]. In [15], it was used to control remotely a piezoelectric actuator. Some examples are aimed at Industrial IoT applications: a monitoring architecture for process automation technologies is presented in [18], and a wireless sensor network for an assembling line [42].…”

Section: Related Workmentioning

confidence: 99%

“…Wi-Fi 2.4 GHz technology is particularly problematic since it is commonly found in industrial facilities and uses a transmission power 100 times higher than typical IEEE 802.15.4 nodes [14]. QoS degradation at industrial applications due to Wi-Fi interferences with other technologies was checked in [15][16][17]. Zigbee is one of the few mainstream low power wireless technologies that can use frequency bands different from 2.4 GHz [18].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

Calvo

Villar

Napole

et al. 2021

Sensors

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Calvo

Villar

Napole

et al. 2021

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…A proportional controller is a type of control system used in industries to regulate a process variable (such as temperature, pressure, flow rate, etc.) based on a desired set point [5]. It works by applying a control signal that is proportional to the difference between the set point and the measured process variable.…”

Section: Proportional Controllermentioning

confidence: 99%

Data Acquisition System with Different Control Application Strategies Using LabVIEW

et al. 2023

View full text Add to dashboard Cite

For real- time data acquisition LabVIEW is suitable as it is easy to learn and use to design prototype model and deployment along with the ability to solve complex algorithm in real time.This paper focuses on the basic concept for the development environment of LabVIEW and examples of different control actions with simulation results. Simple creation of computer communication is controlled by LabVIEW application. Simulation study is done for different control action and the effect can be shown in LabVIEW graphical environment. The software is very user- friendly due to its graphical icon source code. Thefront panel of LabVIEW helps with various measurement results as it uses GUI and the desired type set point can be controlled by selecting or setting the set point.

show abstract

“…WiFi technology is frequently found in industrial scenarios, particularly at the 2.4 GHz band. Several studies [16,17] have checked the apparition of interferences that may cause a degradation of the QoS of the applications. Although the use of the 5 GHz band is increasingly used at WiFi technology, it suffers from shorter coverage and more difficulties for avoiding obstacles.…”

Section: Introductionmentioning

confidence: 99%

Design and Performance of a XBee 900 MHz Acquisition System Aimed at Industrial Applications

et al. 2021

Self Cite

View full text Add to dashboard Cite

Wireless technologies are being introduced in industrial applications since they provide certain benefits, such as the flexibility to modify the layout of the nodes, improving connectivity with monitoring and decision nodes, adapting to mobile devices and reducing or eliminating cabling. However, companies are still reluctant to use them in time-critical applications, and consequently, more research is needed in order to be massively deployed in industrial environments. This paper goes in this direction by presenting a novel wireless acquisition system aimed at industrial applications. This system embeds a low-cost technology, such as XBee, not frequently considered for deterministic applications, for deploying industrial applications that must fulfill certain QoS requirements. The use of XBee 900 MHz modules allows for the use of the 2.4 GHz band for other purposes, such as connecting to cloud services, without causing interferences with critical applications. The system implements a time-slotted media access (TDMA) approach with a timely transmission scheduling of the messages on top of the XBee 900 MHz technology. The paper discusses the details of the acquisition system, including the topology, the nodes involved, the so-called coordinator node and smart measuring nodes, and the design of the frames. Smart measuring nodes are implemented by an original PCB which were specifically designed and manufactured. This board eases the connection of the sensors to the acquisition system. Experimental tests were carried out to validate the presented wireless acquisition system. Its applicability is shown in an industrial scenario for monitoring the positioning of an aeronautical reconfigurable tooling prototype. Both wired and wireless technologies were used to compare the variables monitored. The results proved that the followed approach may be an alternative for monitoring big machinery in indoor industrial environments, becoming especially suitable for acquiring values from sensors located in mobile parts or difficult-to-reach places.

show abstract

Building Wireless Control Applications with XBee and LabVIEW

Cited by 8 publications

References 31 publications

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

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

Data Acquisition System with Different Control Application Strategies Using LabVIEW

Design and Performance of a XBee 900 MHz Acquisition System Aimed at Industrial Applications

Contact Info

Product

Resources

About