Chaos in complex motor networks induced by Newman–Watts small-world connections
Wei Du-Qu(韦笃取)a)†, Luo Xiao-Shu(罗晓曙) a), and Zhang Bo(张波)b)
aCollege of Electronic Engineering, Guangxi Normal University, Guilin 541004, China; bCollege of Electric Power, South China University of Technology, Guangzhou 510640, China
Abstract We investigate how dynamical behaviours of complex motor networks depend on the Newman-Watts small-world (NWSW) connections. Network elements are described by the permanent magnet synchronous motor (PMSM) with the values of parameters at which each individual PMSM is stable. It is found that with the increase of connection probability p, the motor in networks becomes periodic and falls into chaotic motion as p further increases. These phenomena imply that NWSW connections can induce and enhance chaos in motor networks. The possible mechanism behind the action of NWSW connections is addressed based on stability theory.
Fund: Project supported by the Key Program of the National Natural Science Foundation of China (Grant No. 50937001), the National Natural Science Foundation of China (Grant Nos. 10862001 and 10947011), and the Construction of Key Laboratories in Universities of Guangxi, China (Grant No. 200912).
Cite this article:
Wei Du-Qu(韦笃取), Luo Xiao-Shu(罗晓曙), and Zhang Bo(张波) Chaos in complex motor networks induced by Newman–Watts small-world connections 2011 Chin. Phys. B 20 128903
[1]
Wei D Q, Luo X S, Wang B H and Fang J Q 2007 emphPhys. Lett. A 363 71
[2]
Wei D Q and Zhang B 2009 emphChin. Phys. B 18 1399
[3]
Wei D Q, Zhang B, Qiu D Y and Luo X S 2009 emphActa Phys. Sin. 58 6026 (in Chinese)
[4]
Hemati N and Kwatny H 1993 emphProc. 32/nd emphConf. Decision and Control, San Antonio, Texas, December, p. 475
[5]
Li Z, Park J B, Joo Y H, Zhang B and Chen G 2002 emphIEEE Trans. Circ. Syst.-I 49 383
[6]
Zahera A A 2008 emphChaos 18 13111
[7]
Coria L N and Starkov K E 2009 emphCommun. Nonlinear Sci. Numer. Simul. 14 3879
[8]
Jing Z J, Yu C Y and Chen G R 2004 emphChaos, Solitons and Fractals 22 831
[9]
Wei D Q, Zhang B, Qiu D Y and Luo X S 2010 emphIEEE Trans. Circ. Syst.-II 57 456
[10]
Newman M E J 2000 emphJ. Stat. Phys. 101 819
[11]
Albert R and Barabasi A L 2002 emphRev. Mod. Phys. 74 47
[12]
Qin S and Dai G Z 2009 emphChin. Phys. B 18 383
[13]
Watts D J and Strogatz S H 1998 emphNature 393 440
[14]
Dorogovtsev S N and Mendes J F F 2003 Evolution of Networks: From Biological Nets to the Internet and WWW (Oxford, UK: Oxford University Press)
[15]
Wang L F, Wang Q L, Kong Z and Jing Y W 2010 emphChin. Phys. B 19 080207
[16]
Wei D Q, Luo X S and Qin Y H 2008 emphPhysica A 387 2155
[17]
Wei D Q, Luo X S and Qin Y H 2009 emphChin. Phys. B 18 2184
[18]
Wei D Q and Luo X S 2007 emphEurophys. Lett. 78 68004
[19]
Newman M E J and Watts D J 1999 emphPhys. Rev. E 60 7332
[20]
Qin Y H, Luo X S and Wei D Q 2010 emphChin. Phys. B 19 050511
[21]
Yuan W J, Luo X S, Jiang P Q, Wang B H and Fang J Q 2008 emphChaos, Solitons and Fractals 37 799
[22]
Li X, Chen G and Ko K T 2004 emphPhysica A 338 367
[23]
Zhang H F, Wu R X and Fu X C 2006 emphChaos, Solitons and Fractals 28 472
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