摘要
在三相交流伺服系统矢量控制的基础上，对其速度控制通道采用非线性模型预测控制， 预测模型采用ＴＤＲＢＦＮＮ，用改进的ＧＡ 寻找ＴＤＲＢＦＮＮ 的结构和参数。实验结果表明：该控制方法在跟随特性和抗扰性能等方面都优于传统的矢量控制，而且所采用的预测模型和算法都较简单，易于控制系统的硬件和软件实现。
Nonlinear model predictive control is designed for the speed control path of three phase alternating current servo system based on vector control. Predictive model is TDRBFNN whose best structures and parameters are gained by improved GA. The results of experiments show that the control algorithm has the advantage over conventional vector control algorithm in tracking performance and disturbance rejection, and that both the predictive model and control algorithm are not complicated so that hardware and software of the control system are easy to design.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2000年第1期7-10,共4页
Proceedings of the CSEE
基金
国家"973"项目!(G1998020319)
武汉汽车工业大学科学研究基金
关键词
交流伺服系统
RBFNN模型
预测控制
异步电动机
alternating current motor
time delay radial basis function neural network
nonlinear model predictive control
genetic algorithm
vector control
