摘要
由于主动控制中广泛使用的自适应滤波 - x L MS算法只适用于线性控制问题 ,针对一些非线性问题 ,本文提出利用一种非线性自适应滤波方法——基于模糊逻辑系统的自适应滤波方法来解决一类参考信号与外扰呈非线性函数关系的前馈主动控制问题。仿真结果表明 。
Because the commonly used transversal filter/filtered x LMS algorithm is limited to linear control problems in the active control of sound and vibration using feedforward control techniques, a fuzzy logic system and adaptive algorithm suitable for driving nonlinear feedforward control systems is presented in this paper. This nonlinear adaptive filter is capable of suppressing a primary disturbance, which is a nonlinear function of the reference signal fed to the filter. The simulation results show that this fuzzy adaptive filter performs better than linear FIR filter for a nonlinear control problem.
出处
《振动工程学报》
EI
CSCD
2000年第1期112-116,共5页
Journal of Vibration Engineering
基金
国家自然科学基金! (编号 :5 9875 0 6 8)
西安交通大学机械结构强度与振动国家重点实验室开放基金资助项目
关键词
非线性滤波
主动控制
自适应滤波
模糊逻辑系统
non-linear
non-linear filtering
active control
adaptive filter
fuzzy logic system
