| 韩 华1， 罗 安2 |
（1. 中南大学 信息科学与工程学院,湖南 长沙 410083; 2. 湖南大学 电气与信息工程学院，湖南 长沙 410082) |
 摘要：提出一种改进的归一化最小均方(MNLMS)算法，并用该算法驱动FIR滤波器以实现对象模型及其逆的辨识。该算法计算简单，容易实现。在建模的自适应过程中，它能获得比NLMS算法快的收敛速度，并保持小的失调。仿真结果表明，基于MNLMS的自适应逆控制（AIC）系统就能获得比基于NLMS的PID辅助的自适应逆控制系统更好的动态、静态和跟踪性能，具有一定的工程使用价值。 |
| 关键词：自适应逆控制; PID控制器; NLMS;MNLMS; FIR滤波器 |
| 中图分类号：TP202 文献标识码：A 文章编号：1000-8829(2008)05-0074-04 |
| Modified NLMS Algorithm and Its Simulation Research in Adaptive Inverse Control |
| HAN Hua1， LUO An2 |
| (1. School of Information Science & Engineering, Central South University, Changsha 410083, China; 2. College of Electrical and Information Engineering, Hunan University, Changsha 410082, China) |
| Abstract：A modified NLMS (MNLMS) algorithm was proposed and applied to drive a FIR filter to approximate both the model and the inverse of plants.The proposed algorithm is simple and easy to implement,in the adaptive process of modeling,it can highly increase the speed of convergence while remaining low misadjustment error comparing with NLMS algorithm.The simulation results show that the MNLMS based adaptive inverse system exhibits more excellent dynamic and steady state performances than NLMS based and PID aided adaptive inverse system do,and its important practical values is verified. |
| Key words：adaptive inverse control (AIC); PID controller; NLMS; MNLMS; FIR filter |
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