Application of PID Neural Network Controller on Engine Throttle System

Huan Xin Cheng; Peng Li

doi:10.4028/www.scientific.net/AMM.220-223.939

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 220-223Application of PID Neural Network Controller on...

Application of PID Neural Network Controller on Engine Throttle System

Abstract:

A mathematical model of engine throttle as the controlled object is established and then the neural network algorithms and PID control are combined. With the self -learning function of the neural network, self -tunings of PID parameters are realized. The method overcomes disadvantages of PID as parameters which are difficult to determine and embodies better intelligence and robustness of the neural network, the simulation is researched by Matlab and the results show that the PID neural network controller is more accurate and adaptive than conventional PID.

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Periodical:

Applied Mechanics and Materials (Volumes 220-223)

Pages:

939-942

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.220-223.939

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Online since:

November 2012

Authors:

Huan Xin Cheng, Peng Li

Keywords:

BP Algorithm, Engine Throttle Control, PID Neural Network

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