摘要
进行了基于神经网络的智能化机构振动主动控制的实验研究 ;设计了具有压电陶瓷作动器与电阻应变计传感器的宏观智能化机构实验装置及其振动控制系统 ;根据实验样本数据 ,离线设计了神经网络控制器 ;采用基于神经网络的直接自校正控制策略对智能化机构实施了在线控制 ,机构的动力学品质得到了显著改善。
An experimental investigation into a Neural Network(NN) based active vibration control of Intelligent Mechanisms is presented. The experimental set-up and the vibration control system are designed for a class of Macroscopically Intelligent Mechanisms featuring piezoceramic actuators and strain gage sensors. The Neuro-controllers are trained off-line using experimental samples. Finally,the Intelligent Mechanism is controlled on-line by means of the NN based Direct Self-Tuning Control Strategy. As a result, the dynamic performance of the mechanism is improved significantly.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2002年第5期431-433,共3页
China Mechanical Engineering
基金
天津市自然科学基金资助项目 (9414 15 0 0 7)
国家自然科学基金资助项目 (5 9675 0 0 4)
