西华大学学报（自然科学版）2017，Vol.36Issue(1)：29-34,6.DOI:10.3969/j.issn.1673-159X.2017.01.006
基于改进搜寻者优化算法的PID控制
PID Control Based on Improved Seeker Optimization Algorithm
摘要
Abstract
In order to overcome the disadvantages of traditional PID setting methods, such as low precision, poor stability, suscep-tibility to noise, and so on, a PID control method is proposed based on improved seeker optimization algorithm ( ISOA) . This method adopts the Z-N method to calculate PID setting values to guide the production of initial population and the determination of searching range. Meanwhile, mutation method and guidance strategy of evolutionary direction are added to improve the accuracy of PID parameter optimization, and Kalman filter is used to filter control noise and measure noise in controlled systems. The simulation results show that, compared with the PID control method based on standard seeker optimization algorithm ( SOA) , the PID control method based on ISOA and Kalman filter can achieve better optimal PID parameters and effectively eliminate noise interference in the process of control, which achieves PID control with high precision and good robustness.关键词
搜寻者优化算法/PID参数/卡尔曼滤波器/变异操作/Z-N整定方法Key words
seeker optimization algorithm/PID parameter/Kalman filter/mutation operator/Z-N setting method分类
信息技术与安全科学引用本文复制引用
刘俊..基于改进搜寻者优化算法的PID控制[J].西华大学学报（自然科学版）,2017,36(1):29-34,6.基金项目
商洛学院服务地方经济社会发展专项科研项目(15SKY-FWDF002). （15SKY-FWDF002）
