PID Control Optimization for Shuttle Kiln Temperature Based on Genetic Algorithm

Shu Zhong Song; Lei Zhang; Jian Wei Ma

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

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 347-353PID Control Optimization for Shuttle Kiln...

PID Control Optimization for Shuttle Kiln Temperature Based on Genetic Algorithm

Abstract:

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

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Periodical:

Advanced Materials Research (Volumes 347-353)

Pages:

2475-2479

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.347-353.2475

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Online since:

October 2011

Authors:

Shu Zhong Song, Lei Zhang, Jian Wei Ma

Keywords:

Control System, Genetic Algorithm (GA), Shuttle Kiln Temperature

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