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基于MSSA-PID算法的温升控制系统

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为提高温升控制的速度与精度,提出一种基于改进麻雀搜索算法(Modified Sparrow Search Algorithm,MSSA)的PID参数优化选择的温升控制方法.为改善原始SSA算法存在的易早熟问题,同时提高其求解精度,引入动态反向学习机制与自适应t分布扰动对其求解过程进行改进;建立MSSA-PID控制模型,分别对典型的一阶、二阶以及延时系统进行控制,从理论方面对其有效性及优越性进行验证;最后搭建温升控制实验平台验证了所提MSSA-PID温度控制系统温升控制精度高、控制效果稳定.
Study on Temperature Rise Control System Based on MSSA-PID Algorithm
In order to improve the speed and accuracy of temperature rise control,a MSSA-based PID parameter-optimized temperature rise control method is proposed.To improve the premature convergence problem of the original SSA algorithm and improve its solving accuracy,a dynamic reverse learning mechanism and adaptive t-distribution dis-turbance are introduced to improve its solving process.The MSSA-PID control model is established and used to control the typical first-order,second-order,and time-delay systems,verifying its effectiveness and superiority from a theoretical per-spective.Finally the test performed on a self-established temperature rise control platform indicates that the proposed temperature rise control system has high control accuracy and stable control effect.

temperature controlPIDSparrow Search Algorithmdynamic reverse learning mechanismadaptive t-distribution

王燚增、檀英辉、王建伟、李旸、陈东明、彭凯

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国网冀北电力有限公司超高压分公司,北京 102488

温度控制 PID 麻雀搜索算法 动态反向学习机制 自适应t分布

2024

电工技术
重庆西南信息有限公司(原科技部西南信息中心)

电工技术

影响因子:0.177
ISSN:1002-1388
年,卷(期):2024.(14)