模糊PID自整定技术在叶片检测控制系统中的应用  

Application of fuzzy logic PID self-tuning technology in blade test control system

作　　者：赵灿[1] 毛辉[2] 何万涛[1] 

机构地区：[1]黑龙江科技大学现代制造工程中心,哈尔滨150022 [2]黑龙江科技大学电气与控制工程学院,哈尔滨150022

出　　处：《黑龙江科技学院学报》2014年第4期418-421,共4页Journal of Heilongjiang Institute of Science and Technology

基　　金：国家自然科学基金项目(51075128);黑龙江省自然科学基金项目(QC2014C063);黑龙江省教育厅科学技术研究项目(12531601)

摘　　要：鉴于叶片检测系统对运动控制系统高精度的要求,分析叶片检测系统的运动控制方式。基于IMAC400控制卡研究其PID参数调整原理,设计fuzzy logic的PID自整定算法,比较传统PID与模糊自整定PID的控制性能。实验结果表明:在抛物线响应中,常规PID控制的最大跟随误差为-8.602 9,而模糊自整定PID控制最大跟随误差为-8.492 2。模糊自整定PID技术对运动控制系统的稳定性及精确度均有很大的提升。This paper proposes the PID self-tuning algorithm based on fuzzy logic as a response to the higher precision requirements imposed by the blade detection system on motion control system. The algorithm hinges on the analysis of the motion control mode Of blade detection system and the study of the PID parameter adjustment principle based on IMAC400 control card. The viability of the algorithm is demonstrated by performing the experimental contrast between the conventional PID and the fuzzy self-tuning PID technology in terms of control performances. The results suggest that in the parabolic response, the fuzzy self-tuning PID technology exhibits the maximum controlled tracking error of -8. 492 2, compared to - 8. 602 9 for conventional PID. The fuzzy self-tuning PID technology holds promise for a significant improvement in the stability and precision of motion control system.

关 键 词：IMAC400 PID 模糊 自整定 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置]