无模型自适应控制改进算法的性能仿真分析

陈琛; 何小阳

无模型自适应控制改进算法的性能仿真分析

引用本文：陈琛，何小阳.无模型自适应控制改进算法的性能仿真分析[J].计算技术与自动化,2013,(4):17-19

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作者	单位
陈琛，何小阳	（广西大学电气工程学院，广西南宁530004）

中文摘要:在基于紧格式线性化方法的无模型自适应控制算法（Model-free Adaptive Control Based on Tight Format Linearization，TFL-MFAC）的基础上，针对大时间滞后的特点，提出针对大时滞对象的MFAC改进算法(Improved MFAC on Large Time-delay System，LTDS-MFAC)。构造了大时滞对象并通过MATLAB仿真实验对改进MFAC算法的鲁棒性、抗干扰能力和跟踪能力进行分析。仿真实验表明了改进MFAC算法对大时滞系统控制具有更好的控制性能。

中文关键词:无模型自适应控制改进算法仿真性能分析

Simulation Analysis of The Improved Algorithm of Model-free Adaptive Control

Abstract:According to the common characteristics of the controlled object with large time-delay, an improved algorithm based on the model-free adaptive control for large time-delay system(LTDS-IMFAC)is presented. The controlled objects with large time-delay are constructed, and MATLAB simulation experiments are worked, which analysis the robustness, anti-interference ability and tracking capabilities of the algorithm of LTDS-IMFAC. The simulation results show that the improved algorithm has better control performance for large time-delay objects.

keywords:Model-free adaptive control improved algorithm simulation analysis

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