Applied simulation to evaluate the quality of control of networked control systems

Author(s):  
Eduardo Paciencia Godoy ◽  
Arthur Jose Vieira Porto ◽  
Ricardo Yassushi Inamasu
2013 ◽  
Vol 658 ◽  
pp. 502-507
Author(s):  
Guo Fu Tang ◽  
Yan Xin Zhang

Variable deadband sampling is used in wireless networked control systems to reduce the network message. In this paper the T-S fuzzy PID with variable deadband sampling is designed to optimize the quality of network services and the quality of control performance in closed control loop. Furthermore, Kalman filtering algorithms dealing with variable deadband sampling are considered in the paper. The comparison results of proposed method and PID with period sampling are presented based on the extensive simulations by using TrueTime 1.5 toolbox for Matlab/simulink, and the simulation results verify the effectiveness of the proposed method.


Author(s):  
Kun Ji ◽  
Won-Jong Kim

In this paper, we present a co-design methodology of dynamic optimal network-bandwidth allocation (ONBA) and adaptive control for networked control systems (NCSs) to optimize overall control performance and reduce total network-bandwidth usage. The proposed dynamic co-design strategy integrates adaptive feedback control with real-time scheduling. As part of this co-design methodology, a “closed-loop” ONBA algorithm for NCSs with communication constraints is presented. Network-bandwidth is dynamically assigned to each control loop according to the quality of performance (QoP) information of each control loop. As another part of the co-design methodology, a network quality of service (QoS)-adaptive control design approach is also presented. The idea is based on calculating new control values with reference to the network QoS parameters such as time delays and packet losses measured online. Simulation results show that this co-design approach significantly improves overall control performance and utilizes less bandwidth compared to static strategies.


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