摘要
在DMC基本算法的基础上,利用误差的历史数据构建误差向量,以提高系统克服建模误差及抗干扰的性能。仿真结果表明,该算法能够较好地克服建模误差以及随机干扰的影响,提高了控制品质。
The control characteristic of basic DMC algorithms is not ideal when there is serious modeling dismatching, for the feedback correct only use current error and this led to the deficient correct. The historical data of error structure error vector are used which based on the basic DMC algorithms in order to realize sufficient correct. Simulation results show that it can overcome the influence of the modeling error and random interference and improve the control characteristic.
出处
《青岛科技大学学报(自然科学版)》
CAS
2005年第5期466-468,共3页
Journal of Qingdao University of Science and Technology:Natural Science Edition
关键词
预测控制
动态矩阵控制
误差向量
predictive control
dynamic matrix control
error vector