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.

中文翻译：

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基于改进遗传算法的啤酒灌装机液位控制PID控制器参数整定

本文研究了啤酒灌装机液位控制PID控制器的参数整定,可满足啤酒生产中精确控制的需求,提高同等条件下的快速性。首先，提出了一种改进的遗传算法，并通过了八种测试函数的验证。仿真结果表明，与其他改进的粒子群优化算法和改进的遗传算法相比，本文提出的算法在相同的实验条件下不仅能够提高收敛速度和精度，而且能够提高收敛到最优值。最后，将该算法应用于啤酒灌装机PID控制器液位控制的参数整定。