长春理工大学学报（自然科学版）
長春理工大學學報（自然科學版）
장춘리공대학학보（자연과학판）
JOURNAL OF CHANGCHUN UNIVERSITY OF SCIENCE AND TECHNOLOGY(NATURAL SCIENCE EDITION)
2015年
4期
61-64
,共4页
永磁同步电动机%自适应逆控制%非线性滤波器%变步长LMS算法
永磁同步電動機%自適應逆控製%非線性濾波器%變步長LMS算法
영자동보전동궤%자괄응역공제%비선성려파기%변보장LMS산법
PMSM%adaptive inverse control%nonlinear filter%variable step size LMS algorithm
针对永磁同步电动机的非线性、多变量、强耦合的复杂系统，提出了一种改进自适应逆控制策略。该控制策略将改进的径向基函数神经网络与FIR滤波器并联作为非线性自适应滤波器，用于系统的建模辨识、扰动消除器和自适应逆控制器的设计。同时，采用改进的变步长LMS算法对非线性滤波器的参数进行在线优化，提高了非线性滤波器的收敛速度和精度，进而提高了自适应逆控制的性能。仿真对比分析和实验结果表明，采用提出的改进自适应逆控制策略的永磁同步电动机控制系统具有良好的动、静态特性和较强的鲁棒性。
針對永磁同步電動機的非線性、多變量、彊耦閤的複雜繫統，提齣瞭一種改進自適應逆控製策略。該控製策略將改進的徑嚮基函數神經網絡與FIR濾波器併聯作為非線性自適應濾波器，用于繫統的建模辨識、擾動消除器和自適應逆控製器的設計。同時，採用改進的變步長LMS算法對非線性濾波器的參數進行在線優化，提高瞭非線性濾波器的收斂速度和精度，進而提高瞭自適應逆控製的性能。倣真對比分析和實驗結果錶明，採用提齣的改進自適應逆控製策略的永磁同步電動機控製繫統具有良好的動、靜態特性和較彊的魯棒性。
침대영자동보전동궤적비선성、다변량、강우합적복잡계통，제출료일충개진자괄응역공제책략。해공제책략장개진적경향기함수신경망락여FIR려파기병련작위비선성자괄응려파기，용우계통적건모변식、우동소제기화자괄응역공제기적설계。동시，채용개진적변보장LMS산법대비선성려파기적삼수진행재선우화，제고료비선성려파기적수렴속도화정도，진이제고료자괄응역공제적성능。방진대비분석화실험결과표명，채용제출적개진자괄응역공제책략적영자동보전동궤공제계통구유량호적동、정태특성화교강적로봉성。
To aim directly at the suspension system of the PMSM which was a nonlinear, multi variables strong cou-pling system,a modified adaptive inverse control strategy was proposed. This control strategy adopt modified radial ba-sis function neural network and FIR filter as nonlinear filter,and it was adopted as adaptive filter. It was used to iden-tify the system, inverse system and designed the adaptive inverse controller. Meanwhile modified variable step size LMS algorithm was used to optimize the parameters of the nonlinear filter online. This algorithm improved the conver-gence speed and accuracy, further improved the control performance of adaptive inverse control. The results of simula-tion and experiments indicate the PMSM servo system has better dynamic, static performance and robustness by using modified adaptive inverse control strategy.
