A simulation framework for industrial wireless networks and process control systems

Factory and process automation systems are increasingly employing information and communications technologies to facilitate data sharing and analysis in integrated control operations. Wireless connections provide flexible access to a variety of field instruments and reduce network installation and maintenance costs. This serves as an incentive for the adoption of industrial wireless networks based on standards such as the WirelessHART and ISA100.11a in factory control systems. However, process control systems vary greatly and have diverse wireless networking requirements in different applications. These requirements include deterministic transmissions in the shared wireless bandwidth, low-cost operation, long-term durability, and high reliability in the harsh radio propagation environment. It is an open question whether a generic wireless technology would meet the requirements of industrial process control. In this paper, we propose a novel simulation framework for performance evaluation of wireless networks in factory and process automation systems. We select a typical process control plant model, specifically the Tennessee Eastman Challenge (TE) Model, and define the interfaces between the process simulator and the wireless network simulator. We develop a model of the protocol stack of the WirelessHART specification in the OMNET++ simulation engine as a typical industrial wireless network. We present simulation results that validate the prospect of using WirelessHART in the TE plant, and we evaluate the impact of various wireless network configurations on the plant operation. Given its modular design, the proposed simulation framework can be easily used to evaluate the performance of other industrial wireless networks in conjunction with a variety of process control systems.

[1]  Alvaro A. Cárdenas,et al.  Attacks against process control systems: risk assessment, detection, and response , 2011, ASIACCS '11.

[2]  Yixin Chen,et al.  End-to-End Communication Delay Analysis in Industrial Wireless Networks , 2015, IEEE Transactions on Computers.

[3]  Chenyang Lu,et al.  Incorporating emergency alarms in reliable wireless process control , 2015, ICCPS.

[4]  Weihua Zhuang,et al.  Simple Channel Sensing Order in Cognitive Radio Networks , 2011, IEEE Journal on Selected Areas in Communications.

[5]  Reinhard German,et al.  Bidirectionally Coupled Network and Road Traffic Simulation for Improved IVC Analysis , 2011, IEEE Transactions on Mobile Computing.

[6]  Song Han,et al.  WirelessHART: Applying Wireless Technology in Real-Time Industrial Process Control , 2008, 2008 IEEE Real-Time and Embedded Technology and Applications Symposium.

[7]  Robert Tappan Morris,et al.  ExOR: opportunistic multi-hop routing for wireless networks , 2005, SIGCOMM '05.

[8]  E. O. Elliott Estimates of error rates for codes on burst-noise channels , 1963 .

[9]  Stig Petersen,et al.  Performance evaluation of WirelessHART for factory automation , 2009, 2009 IEEE Conference on Emerging Technologies & Factory Automation.

[10]  Jong Min Lee,et al.  Progress and challenges in control of chemical processes. , 2014, Annual review of chemical and biomolecular engineering.

[11]  Insup Lee,et al.  Cyber-physical systems: The next computing revolution , 2010, Design Automation Conference.

[12]  Luc Martens,et al.  The industrial indoor channel: large-scale and temporal fading at 900, 2400, and 5200 MHz , 2008, IEEE Transactions on Wireless Communications.

[13]  Paul J. M. Havinga,et al.  Implementation of WirelessHART in the NS-2 Simulator and Validation of Its Correctness , 2014, Sensors.

[14]  Per Ängskog,et al.  Characterisation of highly absorbent and highly reflective radio wave propagation environments in industrial applications , 2012, IET Commun..

[15]  Kristofer S. J. Pister,et al.  TSMP: TIME SYNCHRONIZED MESH PROTOCOL , 2008 .

[16]  N. Lawrence Ricker,et al.  Decentralized control of the Tennessee Eastman Challenge Process , 1996 .

[17]  Xiaodong Wang,et al.  Understanding the Scheduling Performance in Wireless Networks with Successive Interference Cancellation , 2013, IEEE Transactions on Mobile Computing.

[18]  E. Gilbert Capacity of a burst-noise channel , 1960 .

[19]  Stefan Valentin,et al.  Simulating wireless and mobile networks in OMNeT++ the MiXiM vision , 2008, SimuTools.

[20]  Gerd Scholl,et al.  Modular Wireless Real-Time Sensor/Actuator Network for Factory Automation Applications , 2007, IEEE Transactions on Industrial Informatics.

[21]  Lars Michael Kristensen,et al.  An Industrial Perspective on Wireless Sensor Networks — A Survey of Requirements, Protocols, and Challenges , 2014, IEEE Communications Surveys & Tutorials.

[22]  Bernard P. Zeigler,et al.  Theory of Modeling and Simulation: Integrating Discrete Event and Continuous Complex Dynamic Systems , 2000 .

[23]  Nada Golmie,et al.  Modeling Smart Grid Applications with Co-Simulation , 2010, 2010 First IEEE International Conference on Smart Grid Communications.

[24]  Salvatore Tucci,et al.  HLA-OMNET++: An HLA Compliant Network Simulator , 2008, 2008 12th IEEE/ACM International Symposium on Distributed Simulation and Real-Time Applications.

[25]  Lucia Lo Bello,et al.  Coexistence Issues of Multiple Co-Located IEEE 802.15.4/ZigBee Networks Running on Adjacent Radio Channels in Industrial Environments , 2009, IEEE Transactions on Industrial Informatics.

[26]  Gabor Karsai,et al.  Model-Based Integration Platform for FMI Co-Simulation and Heter- ogeneous Simulations of Cyber-Physical Systems , 2014 .

[27]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[28]  Peter Buchholz,et al.  A Simulation Environment for Hierarchical Process Chains Based on OMNeT++ , 2010, Simul..

[29]  Song Han,et al.  Reliable and Real-Time Communication in Industrial Wireless Mesh Networks , 2011, 2011 17th IEEE Real-Time and Embedded Technology and Applications Symposium.

[30]  A. Molisch,et al.  IEEE 802.15.4a channel model-final report , 2004 .

[31]  E. F. Vogel,et al.  A plant-wide industrial process control problem , 1993 .

[32]  Catherine A. Remley,et al.  Nist Tests of the Wireless Environment in Automobile Manufacturing Facilities , 2017 .

[33]  Aloysius K. Mok,et al.  WirelessHART™: Real-Time Mesh Network for Industrial Automation , 2010 .

[34]  Tore Hägglund,et al.  Automatic Tuning and Adaptation for PID Controllers - A Survey , 1992 .