Packet Loss Compensation for Control Systems over Industrial Wireless Sensor Networks

Industrial wireless sensor networks (IWSNs) can provide wireless communication for the control system and have therefore received considerable attention. However, network-induced delays or packet losses, among other issues, significantly degrade the performance of IWSNs and can even destabilize an entire system. In this study, a predictive compensator, a modified linear quadratic regulator (LQR) compensator, and a combination of both compensators were proposed to mitigate the effects of unpredictable packet loss in an IWSN. The control system applying the three proposed compensators was simulated under various condition of packet loss using Matlab Simulink and Truetime. An inverted pendulum was used as the object of the controller. Simulation results showed that, among the three compensators, the combined compensator works best in compensating for the packet loss in both forward and backward channels of the control system.

[1]  Ossi Kaltiokallio,et al.  On the performance of the PIDPLUS controller in wireless control systems , 2010, 18th Mediterranean Conference on Control and Automation, MED'10.

[2]  Barjeev Tyagi,et al.  Optimal Control of Nonlinear Inverted Pendulum System Using PID Controller and LQR: Performance Analysis Without and With Disturbance Input , 2014, Int. J. Autom. Comput..

[3]  M. Nour,et al.  Fuzzy logic control vs. conventional PID control of an inverted pendulum robot , 2007, 2007 International Conference on Intelligent and Advanced Systems.

[4]  M. Mrosko PID control strategy for sensor random packet dropouts in networked control system , 2022 .

[5]  Suk Lee,et al.  Performance evaluation of wireless networked control system using time-triggered IEEE 802.15.4 , 2009, 2009 ICCAS-SICE.

[6]  Francisco Vargas,et al.  A Wireless Networked Control Systems review , 2011, IX Latin American Robotics Symposium and IEEE Colombian Conference on Automatic Control, 2011 IEEE.

[7]  Hari Om Gupta,et al.  Simulation for Optimal Control of Nonlinear Inverted Pendulum Dynamical System using PID Controller & LQR , 2012 .

[8]  Barjeev Tyagi,et al.  Modelling and Simulation for Optimal Control of Nonlinear Inverted Pendulum Dynamical System Using PID Controller and LQR , 2012, 2012 Sixth Asia Modelling Symposium.

[9]  John Baillieul,et al.  Stabilizing and tracking control of multiple pendulum-cart systems over a shared wireless network , 2012, Proceedings of the 31st Chinese Control Conference.

[10]  Zhu Lijing,et al.  Research on Inverted Pendulum Network Control Technology , 2011, 2011 Third International Conference on Measuring Technology and Mechatronics Automation.

[11]  Gerhard P. Hancke,et al.  Industrial Wireless Sensor Networks: Challenges, Design Principles, and Technical Approaches , 2009, IEEE Transactions on Industrial Electronics.

[12]  Prerna Gaur,et al.  Comparative analysis of various control techniques for inverted pendulum , 2011, India International Conference on Power Electronics 2010 (IICPE2010).

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

[14]  Babak Hassibi,et al.  On LQG control across a stochastic packet-dropping link , 2005, Proceedings of the 2005, American Control Conference, 2005..

[15]  H. Suemitsu,et al.  Swing-up and stabilizing control of an inverted pendulum by two step control method , 2012, International Conference on Advanced Mechatronic Systems.

[16]  Myungsik Yoo,et al.  Performance analysis of packet loss on wireless network control systems , 2014, 2014 International Conference on Information and Communication Technology Convergence (ICTC).

[17]  Elbrous M. Jafarov,et al.  Augmented optimal LQR control system design for the longitudinal flight dynamics of an UAV: inner and outer loop concepts , 2007 .