The Application and Research on Electronic Load

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Abstract:

At present,for the application of the fuzzy PID controller is analyzed in electronic load,this paper according to the shortcomings of the controller improved fuzzy neural PID controller, through the BP neural network to realize fuzzy function, the results shows that this method is feasible and efficient. Finally the method was simulated on MATLAB, the control effect of overshoot and time delay on the application of improved fuzzy neural PID control was confirmed better than the former methods.

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227-230

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September 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] ZHANG XiuLing ZHENG GuiCui and JIA ChunYu. Application research of sewage treatment based on fuzzy neural network PID control, CONTROL AND INSTRUMENTS IN CHEMICAL INDUSTRY, pp.11-14, 37(2), (2010).

Google Scholar

[2] BAO JuMin, TANG LiangBao, Adaptive PID controller based on fuzzy neural network, OPTICAL TECHNIQUE. pp.296-298., 32(z1), (2006).

Google Scholar

[3] SU DongHai and SUN XiaoMing. Application of fuzzy neural network PID controller on the VEHSLS, FLUID POWER TRANSMISSION AND CONTROL. pp.51-53, (3) , (2009).

Google Scholar

[4] ZHANG CaiXia and ZHANG ZhiFei. Application of fuzzy neural network PID for three-tank water, MODERN ELECTRONIC TECHNOLOGY. pp.137-139, (10), (2009).

Google Scholar

[5] JI Wei and LI Qi. Application of adaptive fuzzy PID controller to tracker line of sight stabilized system, CONTROL THEORY AND APPLICATIONS. pp.278-282, 25(2), (2008).

Google Scholar