西南科技大学学报
西南科技大學學報
서남과기대학학보
JOURNAL OF SOUTHWEST CHINA INSTITUTE OF TECHNOLOGY
2014年
1期
65-69
,共5页
调速%Smith预估补偿%RBF神经网络%PID控制
調速%Smith預估補償%RBF神經網絡%PID控製
조속%Smith예고보상%RBF신경망락%PID공제
Speed regulation%Smith predictive compensation%RBF neural network%PID control
针对工业缝纫机调速模块的伺服系统普遍存在耦合、大滞后的现象，提出了一种将Smith预估补偿和RBF神经网络算法与PID控制器相结合的Smith-RBF-PID控制算法。该方法利用了Smith预估补偿能克服纯滞后和RBF能处理非线性问题、在线自学习整定PID参数的优点，在调速模块的伺服控制系统中更加有效。
針對工業縫紉機調速模塊的伺服繫統普遍存在耦閤、大滯後的現象，提齣瞭一種將Smith預估補償和RBF神經網絡算法與PID控製器相結閤的Smith-RBF-PID控製算法。該方法利用瞭Smith預估補償能剋服純滯後和RBF能處理非線性問題、在線自學習整定PID參數的優點，在調速模塊的伺服控製繫統中更加有效。
침대공업봉인궤조속모괴적사복계통보편존재우합、대체후적현상，제출료일충장Smith예고보상화RBF신경망락산법여PID공제기상결합적Smith-RBF-PID공제산법。해방법이용료Smith예고보상능극복순체후화RBF능처리비선성문제、재선자학습정정PID삼수적우점，재조속모괴적사복공제계통중경가유효。
In view of the phenomena of coupling and big time delay in the servo system of the industrial sewing machine pedal speed -regulation module , a Smith -RBF-PID control algorithm was proposed based on Smith predictive compensation algorithm and RBF neural network algorithm and PID controller . This method uses the advantage of Smith predictive compensation to overcome big time delay , and that of RBF to deal with non-linear problems , and that of a self-turning control strategy of RBF neural net-work, which makes the speed -regulation module servo system more efficient .
