By Zhi-min Li, Xin Xu, Cun-hua Li (auth.), David Jin, Sally Lin (eds.)

ISBN-10: 364227286X

ISBN-13: 9783642272868

ISBN-10: 3642272878

ISBN-13: 9783642272875

This quantity provides the most result of 2011 overseas convention on digital Engineering, verbal exchange and administration (EECM2011) held December 24-25, 2011, Beijing China. The EECM2011 is an built-in convention offering a helpful chance for researchers, students and scientists to switch their rules nose to nose jointly. the main target of the EECM 2011 and the current 2 volumes “Advances in digital Engineering, verbal exchange and administration” is on strength Engineering, electric engineering functions, electric machines, in addition to conversation and knowledge structures Engineering.

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Additional resources for Advances in Electronic Engineering, Communication and Management Vol.1: Proceedings of 2011 International Conference on Electronic Engineering, Communication and Management(EECM 2011), held on December 24-25, 2011, Beijing, China

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Advances in EECM Vol. 1, LNEE 139, pp. 25–28. com 26 R. Wang is poor, not only adjusting time is long, but also serious oscillation may appear, even causing system instability when change of water consumption is large. 2 The Design of Adjustable Modifying Factor Fuzzy-PID Controller The fuzzy control has good dynamic properties and PID control with excellent static properties. Using fuzzy control to speed up the response time when the pressure fluctuation is large, and using PID control to maintain static accuracy when the pressure fluctuation is small.

In fact, not all facilities can correctly response to each request. If facilities can react to request, it is called "work" condition, otherwise called "doesn't work" or "damage" condition. Probability p is used to say probability when facilities are not at the state of work. Assuming probability p for all facilities is known and same, and further assumes all facilities whether work is independent of each other. In these assumptions, work facilities quantity T should obey binomial distribution P{T = j} = CMj (1 − p) j p M − j .

This paper focuses on the problem, proposed a fuzzy control method for controlling, it can not only improve control precision, and to improve the robustness of control algorithms and adaptive capacity. U1 K1e−τ1s ( s + a11 )( s + a12 ) + y1 + K 2 e −τ 2 s ( s + a21 )( s + a22 ) K 3 e −τ 3 s ( s + a31 )( s + a32 ) + U2 −τ 4 s K4e ( s + a41 )( s + a42 ) + y2 Fig. 1. The mathematical model of temperature and humidity objects 3 The Design of Fuzzy Controller The prominent advantage of fuzzy control is adaptable to different process control, with strong robustness and simple structure, easy to implement.

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Advances in Electronic Engineering, Communication and Management Vol.1: Proceedings of 2011 International Conference on Electronic Engineering, Communication and Management(EECM 2011), held on December 24-25, 2011, Beijing, China by Zhi-min Li, Xin Xu, Cun-hua Li (auth.), David Jin, Sally Lin (eds.)


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