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改进麻雀算法在模糊PID温度控制系统的应用
Application of Improved Sparrow Algorithm in Fuzzy PID for Temperature Control
【摘要】 为满足标准金属量器检定的温度控制要求,本文提出了改进的麻雀搜索算法。利用改进的Sine混沌映射初始化种群和萤火虫干扰策略,避免麻雀搜索算法过早陷入局部最优的状况,提高了算法的收敛速度;建立基于模糊PID控制器的温度控制系统的数学模型,并使用改进后的算法优化模糊PID控制器参数。结果表明:利用该算法优化模糊PID控制器,各方面性能都优于其他算法。
【Abstract】 In order to meet the temperature control requirements of standard metal gauge verification, an improved sparrow search algorithm is proposed in this paper.The improved Sine chaotic mapping was used to initialize the population and firefly interference strategy, which prevented the sparrow search algorithm from falling into the local optimal condition prematurely and improved the convergence speed of the algorithm.The mathematical model of temperature control system based on fuzzy PID controller is established, and the parameters of fuzzy PID controller are optimized by the improved algorithm.The results show that the performance of fuzzy PID controller optimized by this algorithm is superior to other algorithms in all aspects.
- 【文献出处】 计量与测试技术 ,Metrology & Measurement Technique , 编辑部邮箱 ,2024年01期
- 【分类号】TP273;TP18;TH811
- 【下载频次】48