PID Control Optimization for Shuttle Kiln Temperature Based on Genetic Algorithm

Abstract:

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Aiming at the coke oven temperature characteristics of great inertia pure time-delay, non-linear and time changeable, a new method that genetic algorithm is introduced to optimize PID parameters is proposed .In calculation of iteration, the optimal solutions are always reserved to guarantee all individuals to converge to the global optimization. For obtaining perfect control effect, the square of control quantity and overshoot-punishment item are set to an objective function with a time-integral to the absolute value of error. The genetic PID algorithm is adopted to control the output temperature. The simulation results of the proposed algorithm applied to a simplified oven model show the feasibility of the method

Info:

Periodical:

Advanced Materials Research (Volumes 347-353)

Edited by:

Weiguo Pan, Jianxing Ren and Yongguang Li

Pages:

2475-2479

DOI:

10.4028/www.scientific.net/AMR.347-353.2475

Citation:

S. Z. Song et al., "PID Control Optimization for Shuttle Kiln Temperature Based on Genetic Algorithm", Advanced Materials Research, Vols. 347-353, pp. 2475-2479, 2012

Online since:

October 2011

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Price:

$35.00

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