Affiliation:
1. School of Mechanical and Electrical Engineering, Huainan Normal University, Huainan 232038, China
Abstract
Parameter tuning of PID controller for liquid level control of beer filling machine was studied in this paper, which can meet the demand of accurate controlling in beer production and improve the rapidity under the same conditions. Firstly, an improved genetic algorithm was proposed which has been verified by eight kinds of test functions. Simulation results revealed that, in comparation with other modified particle swarm optimization algorithm and modified genetic algorithm, the algorithm proposed in this work is not only capable to improve the convergence speed and precision under the same experimental conditions but also to improve the probability to converge to the optimal value. Finally, the proposed algorithm was applied to the parameter tuning of the PID controller of beer filling machine for liquid level control. Superior property had been obtained, which implied an effective improvement in the rapidity with the premise of steady-state error exclusion.
Funder
Huainan Normal University Research and Innovation Team: Intelligent Detection Technology Research and Innovation Team
Subject
General Mathematics,General Medicine,General Neuroscience,General Computer Science
Cited by
12 articles.
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