摘要
实现了神经元在线参数自学习功能，利用神经元控制器及滞环比较器、智能功率模块实现了基于神经元控制器的交流伺服系统。由仿真和实验结果，可以看出神经元控制器具有较强的自适应性及鲁棒性。
A novel speed control system for servo motor was presented. The neuron controller with its self-learning ability and its fast approximate solution algorithm of control sensitivity can realize the on-line learning algorithm . With the neuron controller as the speed controller and the three-phase hysteresis controller as the current controller, the servo system can be made. Through the simulation and the experiment, it shows that the neuron controller has the strong adaptability and better on-line performance.
出处
《北京科技大学学报》
EI
CAS
CSCD
北大核心
1998年第6期576-578,共3页
Journal of University of Science and Technology Beijing
基金
国家自然科学基金资助课题
