文献类型：期刊文献

英文题名：A study on Fuzzy-PID control using genetic algorithms for NC feed servo systems

作者：Xu, Xiufen[1]

第一作者：徐秀芬

通讯作者：Xu, Xiufen

机构：[1] Mechanical and Electrical Engineering College, Xinxiang University, Xinxiang, Henan, 453000, China

第一机构：新乡学院机电工程学院

年份：2016

卷号：17

期号：31

起止页码：24.1-24.5

外文期刊名：International Journal of Simulation: Systems, Science and Technology

收录：EI(收录号：20170203240849);Scopus(收录号：2-s2.0-85008884278)

语种：英文

外文关键词：Controllers - Electric control equipment - Genetic algorithms - Intelligent control - Machine tools - Optimization - Proportional control systems - Servomechanisms

摘要：Numerical Control, NC, machine tool feed servo systems are time-varying, but with the poor anti-interference of conventional PID control it is difficult to achieve satisfactory setting effect. Thus this paper puts forward an online adaptive fuzzy PID setting strategy. Further, in order to improve the control performance of fuzzy PID controllers, we use a genetic algorithm to set the initial PID parameters in the fuzzy PID controller which leads to the scaling factor being optimized. The simulation results show that the fuzzy-PID controller based on genetic algorithm for this application has good adaptability, robustness and stability, it also verifies the novelty and validity of the use of the genetic algorithm. ? 2016, UK Simulation Society. All rights reserved.