一种新的基于改进免疫算法的变参数PID控制器

Haipeng Pan, Wanhui Wang, Liang Xiao
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摘要

针对工程应用中典型的具有时变大时滞的非线性复杂生产工艺的传统PID控制中的参数选择是一个难以优化的问题,而遗传算法(GA)容易陷入局部最优,本文提出了一种新的变参数PID控制器最优控制策略。为了克服传统免疫算法和遗传算法的不足,使变参数PID控制具有更好的性能,本文针对抗体适应度、期望繁殖概率和选择概率等特殊公式进行改进,提出了一种基于精英保留和精英交叉策略(AIAE)的改进人工免疫算法。计算机仿真和在大时滞非线性系统中的实际应用表明,基于AIAE的变参数PID控制器具有较好的抗干扰性和较强的鲁棒性。
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Notice of RetractionA new Variable Arguments PID controller based on improved Immune Algorithm
Aiming at engineering application, parameter selection in conventional PID control of a typical nonlinear plant with time-varying large delay in the complex production technology is a difficult optimization problem, and the Genetic Algorithm(GA) tends to fall into local optimum, the paper put forward a new optimal control strategy of Variable Arguments PID controller. In order to overcome the shortage of the traditional Immune Algorithm and Genetic Algorithm, get a better performance for the variable arguments PID control, this paper, aims to improve several special formulas, such as antibody fitness, expected reproduction probability and selected probability, presents an improved Artificial Immune Algorithm with the elitism reservation and elitism crossover strategy(AIAE). Both computer simulation and field application in nonlinear system with large time delay show that, the variable arguments PID controller based on AIAE has a quite good disturbance resistance and a strong robustness.
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