摘要
基于自适应噪声对消原理的自适应谐波电流检测方法具有实现简单、自适应性强等优点;但是算法中步长的选择需要在收敛速度和稳态精度之间折中考虑,大大降低了算法的实用性。在以往研究的基础上,提出了一种改进的变步长自适应谐波电流检测方法,它利用滑动积分器提取真正的跟踪误差,并采用带有自调整因子的模糊调整器来动态调整步长,能够保证谐波检测过程既具有较快的动态响应速度,又保持较小的稳态失调。此滑动积分器及模糊调整器结构简单,容易用数字信号处理器(digital signal processor,DSP)实现。同时对三相系统中谐波检测及各次谐波电流的检测方法进行了讨论,拓宽了算法的应用范围。仿真与实验结果验证了该文所提出算法的有效性。
The self-adaptive harmonic detection method, which is based on the principle of self-adaptive noise countervailing, is easy to be realized and has strong self-adaptive ability. But the fixed step-size will make a compromise between convergence speed and steady precision, which restrict its practicability. An improved variable step-size self-adaptive harmonic detection method is proposed in this paper. The proposed method adopts a sliding integrator and then uses a fuzzy adjustor with self-adjustable factor to modify the step size, so it can obtain fast convergence speed and high steady precision at the same time. Furthermore, the sliding integrator and fuzzy adjustor have simple configuration and are easy to be realized in DSP. Finally the three-phase and every order harmonic detection method are analyzed in order to widen its application range. The detailed simulation and experimental results verify the validity of this method.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2008年第22期124-129,共6页
Proceedings of the CSEE
关键词
谐波
神经网络
自适应
模糊
harmonics
neural network
self-adaptive
fuzzy