改进NARMA-L2模型的无模型自校正控制器  

Self-Tuning Controller with Model Free of Modified NARMA-L2 Model

作　　者：侯小秋[1] Hou Xiaoqiu(School of Electrical and Control Engineering,Heilongjiang University of Science and Technology,Harbin City,Heilongjiang Province 150022)

机构地区：[1]黑龙江科技大学电气与控制学院,黑龙江哈尔滨150022

出　　处：《黄河科技学院学报》2022年第5期1-7,共7页Journal of Huanghe S&T College

摘　　要：针对改进NARMA-L2模型的控制问题,采用具有辅助变量的偏格式动态线性化泛模型逼近,通过直接极小化指标函数的自适应优化算法进行参数估计,基于广义目标函数提出适用于非线性系统的无模型自校正控制器算法,仿真研究验证了算法的有效性,使系统具有良好的控制效果。In order to settle control problem of modified NARMA-L2model,universal model with partial form dynamic linearization of auxiliary variable was adopted.Parameters was estimated by an adaptive optimization algorithm for direct minimization of index function.Based on generalized objective function,a self-tuning controller algorithm with model free was obtained,which is suitable for nonlinear system.The simulation results indicate that the developed algorithm has excellent controlling performance.

关 键 词：无模型自适应控制 非线性系统 NARMA-L2模型 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]