首页|Ant Colony Algorithm and its Applications to Optimization of PID Parameters
Ant Colony Algorithm and its Applications to Optimization of PID Parameters
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NSTL
Trans Tech Publications Ltd
In this paper, an improved ACA (IACA) is used for tuning PID parameters. Firstly, the mathematical representation of conventional digital PID controller is deduced. Then genetic algorithms (GAs) and ACA are described. Thirdly, a PID controller based on IACA is designed. Computer simulation is performed for the proposed IACA-based PID controller finally. The results show that the proposed method could search the optimization PID parameters efficiently. The tryout of the designed controller in a paver walk system driven by valve-controlled motor runs well up to present.
improved ant colony algorithmgenetic algorithmsPID controllervalve-controlled motor
Shengli Song、Jianzhao Zhou、Haitao Wang、Husheng Feng、Ren He
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Engineering Institute of Corps of Engineers, PLA University of Sci. & Tech
School of Automobile and Traffic Engineering, Jiangsu University, China
NETL
NSTL
Trans Tech Publications Ltd
