2008, Volume 10, Issue 7
Strategic Study of CAE >> 2008, Volume 10, Issue 7
An approach to bandwidth management based on fuzzy logic
1. College of Information Engineering, Zhejiang University of Technology, Hangzhou 310014, China ;
2. School of Information Engineering, Huzhou Teachers College, Huzhou, Zhejiang 313000, China
Next Previous
Abstract
In networked control systems(NCSs),a fuzzy logic modulator,which is based on mapping relationship of one-dimensional input and one-dimensional output,is designed for the dynamic management of control systems' bandwidth. By adjusting a nonlinear offset factor in the fuzzy logic modulator,the control performance and requirement of bandwidth can be further improved.Moreover,the upper and lower bound of the assignable bandwidth,which guarantee the system's stability,are evaluated in terms of linear matrix inequalities and the restrained resource conditions.Finally, normalizable criterions of the quality of control (QoC) and requirement of bandwidth (RoB) are also defined,which can estimate the performance of the whole networked control systems. On those criterions, the proposed algorithm, namely fuzzy bandwidth management (FBM) , and traditional fixed bandwidth allocation (FBA) are compared. The results of simulation highlight that the proposed algorithm can significantly improve performance and save more bandwidth of control loop than the other one.
Keywords
fuzzy bandwidth management ; networked control systems ; quality of control ; requirement ofbandwidth
Figures
图1
图2
图3
图4
图5
References
[ 1 ] Yang T C . Networked control system : A brief survey [ J ] . IEE Proceedings Control Theory and Applications , 2006 , 153(4) : 40 - 412 link1
[ 2 ] Tipsuwan Y , Chow M Y . Control methodologies in networked control systems [J] . Control Engineering Practice , 2003 , 11(10) : 1099 - 1111 link1
[ 3 ] Li Yuqing , Fang Huajing . Control methodologies of large delays in networked control systems [A] . International Conference on Control and Automation [C] . Budapest , Hungary , 2005 . 1225 - 1230 link1
[ 4 ] Hong S H . Scheduling algorithm of data sampling times in the integrated communication and control systems [J] .IEEE Transactions on Control Systems Technology , 1995 , 3(2) : 225 - 230 link1
[ 5 ] Hong S H ,Kim W H . Bandwidth allocation scheme in CAN protocol [J] . IEE Proceedings Control Theory and Applications , 2000 , 147 (1) : 37 - 44 link1
[ 6 ] Hong S H . Bandwidth allocation scheme for cyclic-service field bus networks [J] . IEEE桙ASME Transactions on Mechatronics , 2001 , 6 (2) : 197 - 204 link1
[ 7 ] Hong S H , Kim Y C . Implementation of a bandwidth allocation scheme in a token-passing field-bus network [J] .Instrumentation and Measurement , 2002 , 51(2) : 246 - 251 link1
[ 8 ] Park H S , Kim Y H , Kim D S , et al . A scheduling method for network-based control systems [ J] . IEEE Transactions on Control Systems Technology , 2002 , 10(3) : 318 - 330 link1
[ 9 ] Velasco M , Fuertes J M , Lin C , et al . A control approach to bandwidth management in networked control systems [A] . The 30th Annual Conference of the IEEE Industrial Electronics Society [ C] . Busan , Korea , 2004 : 2343 - 2348 link1
[10] Velasco M , Marti P , Frigola M . Bandwidth management for distributed control of highly articulated robots [A] . Proceedings of the IEEE International Conference on Robotics and Automation [C] . Barcelona , Spain , 2005 : 265 - 270 link1
[11] Xia Feng , Li Shanbin , Sun Youxian . Neural network based feedback scheduler for networked control system with flexible workload [A] . Proceedings of ICNC’05 , Lecture Notes in Computer Science [C] . Heidelberg : Springer-Verlag , 2005 : 242 - 251 link1
[12] Xia Feng , Liu Liping , Li Shanbin , et al . Integrated feedback scheduling of networked control systems [A] .Proceedings of ICSCA’ 06 , Dynamics of Continuous , Discrete and Impulsive Systems-Series B : Applications and Algorithms [ C] . Waterloo , Canada , 2006 : 3274 - 3280
[13] Ren Xudong , Li Shanbin , Wang Zhi , et al . A QoS management scheme for paralleled networked control systems with CAN bus [A] . The 29th Annual Conference of the IEEE Industrial Electronics Society [C] . Virginia , USA , 2003 : 842 - 847 link1
[14] George K I M , Hu Baogang , Gosine R G . Analysis of direct action fuzzy PID controller structures [ J] . IEEE Transactions on System , Man and Cybernetics-Part B : Cybernetics , 1999 , 29(3) : 371 - 388 link1
[15] 胡包钢 , George K I M , Gosine R G . 关于模糊 PID 控制器推理 机维数的研究[J] . 自动化学报 , 1998 , 24(5) : 608 - 615 link1
[16] Walsh G C , Ye H , Bushnell L . Stability analysis of networked control systems [ A] . Proceedings of the ACC [ C] . California , USA , 1999 : 2876 - 2880 link1
[17] Branicky M S , Phillips S R , Zhang Wei . Stability of networked control systems : explicit analysis of delay [A] . Proceedings of the American Control Conference [C] . Chicago , USA , 2000 : 2352 - 2357 link1
[18] Kim Y H , Kwon W H , Park H S . Stability and a scheduling method for network-based control systems [A] . The 22nd Annual Conference of the IEEE Industrial Electronics Society [ C ] . Taipei , China , 1996 : 934 - 939 link1
[19] Kim Y H , Park H S ,Kwon W H .A Scheduling method for networkbased control systems [ A ] . Proceedings of the ACC [ C ] . Philadelphia , Pennsylvania , USA , 1998 : 718 - 722
[20] Kim D S , Lee Y S , Kwon W H , et al . Maximum allowable delay bounds of networked control systems [ J ] . Control Engineering Practice , 2003 , 11(11) : 1301 - 1313 link1
[21] Moon Y S , Park P G , Kwon W , et al . Delay dependent robust stabilization of uncertain state-delayed systems [ J ] . International Journal of Control , 2001 , 74(14) : 1447 - 1455 link1
[22] Martí P , Yépez J , Velasco M , et al . Managing quality-of-control in network-based control systems by controller and message scheduling co-design [J] . IEEE Trans on Industrial Electronics , 2004 , 51(6) : 1159 - 1167 link1
京公网安备 11010502051620号
