摘要
先进控制策略可以应用在机电运动控制中以有效地消除和补偿由静动摩擦力所引起的非线性特性。这种影响很难用常规控制方法加以消除。文章对机电运动控制中模糊与模糊神经元网络控制策略的应用进行了对比研究，用于对比的被控对象是一具有高度非线性摩擦力影响的直流电机。
The advanced control strategies can be used in mechatronic motion control to effectively eliminate and compensate for the static-Coulomb friction which is difficult to overcome by conventional control methods. The paper compares the applications in the mechatronic system of fuzzy and fuzzy neural network control strategies. The controlled process is a D.C. servomotor with high nonlinear frictions. Their advantages and disadvantages are discussed.
出处
《中国电机工程学报》
EI
CSCD
北大核心
1999年第7期30-32,37,共4页
Proceedings of the CSEE
基金
中科院重点项目
关键词
机电系统
神经元网络
控制策略
模糊控制
nonlinear frictions
fuzzy neural networks
advanced control strategies
adaptive control
