目前,传统自调整PID控制器回路中存在目的误差、平均误差和透过误差较多的现象,容易造成工艺数据控制不精确.为此,提出一种基于免疫遗传算法优化的自调整PID控制器研究方案.首先确定PID控制器系统硬件结构,采用免疫遗传算法对自调整PID控制器回路中的积分单元以及微积分计算进行优化,有效避免了目的误差的产生,使用交叉与变异算子调整比例单元以及比例微分单元,借鉴数据交叉适应度值有效控制系统出现稳定性差变、降低平均误差以及透过误差出现的概率,保证工艺数据控制精度,有效解决了上述问题.仿真实验证明,基于免疫遗传算法优化的自调整PID控制器能够对工艺数据进行高精度控制,具有实践意义,能为自调整PID控制器研究发展提供帮助.%For the purpose in traditional self-tuning PID controller circuits error,error of the mean and through error,data process control inaccurate problem,put forward a kind of self-tuning PID controller based on immune genetic algorithm(ga)optimization research plan. By immune genetic algorithm for self-tuning PID controller circuit unit and calculus,the integral optimization,effectively avoid the error of purpose,using adjustment of crossover and mutation rate control and differential control,effective control of the system stability,this reduces the average error and the error probability,ensure the control accuracy of process data,and effectively solve the above problems. In order to verify the design based on immune genetic algorithm to optimize the effectiveness of the self-tuning of PID controller,design the contrast simulation experiment,through the experimental data show that the design in this paper based on immune genetic algorithm to optimize the self-tuning of PID controller to control of the process data with high precision.
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